chore: bump version to 1.1.1

- Add MP3 conversion and chunking for files >18MB
- Support meetings up to 2+ hours
- Add email button directly in history view
- Implement custom logo upload in Settings for white-labeling
- Add read_image_as_base64 Rust command
- Update README with new features and ffmpeg requirement

README.md

@@ -7,6 +7,11 @@
 ## ✨ Features
 
 *   **🎙️ Dual-Channel Recording**: seamlessly capture your voice and meeting audio from apps like Microsoft Teams, Zoom, or Google Meet.
+*   **📁 Import Audio Files**: Upload existing recordings (MP3, MP4, WAV, M4A, FLAC, OGG, AAC, WMA) for transcription and summarization.
+*   **⏱️ Long Meeting Support**: Record meetings up to 2+ hours with automatic MP3 conversion and chunking.
+*   **🎵 Smart Auto-Stop**: 
+    *   **Universal Auto-Stop**: Automatically stops recording after **20 seconds of silence** in ALL modes (Voice Memo & Meeting).
+    *   **Noise Filtering**: Enhanced VAD (Voice Activity Detection) ignores background noise and keyboard typing, only triggering on clear speech.
 *   **📅 Microsoft 365 Integration**:
     *   **Upcoming Meetings**: View your daily schedule and join with **one click**.
     *   **Meeting Details**: View full agenda and **invited attendee status** (Accepted/Declined).
@@ -16,14 +21,23 @@
     *   **Precision Transcription**: Standard-compliant formatting with **second-by-second timestamps**.
     *   **Smart Summaries**: Uses **Smart Templates** to automatically select the best format (Business Protocol vs. 1:1) based on meeting content.
 *   **🔇 Smart VAD**: Automatically filters out silence and stops recording when you stop talking.
+*   **🎨 White-Labeling**: Upload your **custom company logo** in Settings to brand the application.
 *   **🔒 Privacy-First**: Data is processed securely via your own Infomaniak API keys.
 
 ---
 
 ## 🚀 Getting Started
 
-### 1. Prerequisites
-*   **macOS** (Apple Silicon or Intel).
+### Required
+
+*   **macOS** (tested on macOS Monterey and later)
+*   **BlackHole 2ch Driver** ([Download here](https://existential.audio/blackhole/))
+    *   **MANDATORY** for system audio capture (MS Teams, Zoom, etc.)
+    *   Without this, you can only record microphone input
+*   **ffmpeg** for audio processing
+    ```bash
+    brew install ffmpeg
+    ```
 *   **Infomaniak AI Account**: You need an API Key and Product ID from the [Infomaniak Developer Portal](https://manager.infomaniak.com/).
 
 ### 2. Installation
@@ -35,15 +49,21 @@
 
 ## 🎧 Recording System Audio (Teams, Zoom, etc.)
 
-We've made this easy! Hearbit AI includes a built-in helper to set up your audio devices.
+We've made this easy! **Note: You must have the BlackHole driver installed.**
 
-1.  **Open Audio MIDI Setup**: Click the "Open Audio MIDI Setup" button in the recorder view.
-2.  **Create "Hearbit Audio" Device**:
-    *   If you don't have a virtual device, click **"🪄 Create Hearbit Audio Device"** in the app (appears in Meeting mode if no device is found).
-    *   This will automatically configure a Multi-Output Device so you can record and hear at the same time.
-3.  **Select "Hearbit Audio" in Teams/Zoom**:
-    *   In your meeting app settings (Teams/Zoom), set your **Speaker** to **Hearbit Audio**.
-    *   In Hearbit AI, select **Hearbit Audio** (or BlackHole) as your input.
+1.  **Create "Hearbit Audio" Device**:
+    *   Open the app and select **Meeting** mode.
+    *   If you don't have the device yet, click the **"🪄 Create Hearbit Audio Device"** button.
+    *   This creates a specialized "Multi-Output Device" that routes audio to both your headphones/speakers AND the app.
+
+2.  **Configure Teams / Zoom / Webex**:
+    *   **Speaker / Output**: Change this to **Hearbit Audio**.
+        *   *Why?* This ensures the audio goes to the recording app *and* your ears.
+    *   **Microphone / Input**: Leave this as your normal microphone (e.g., MacBook Pro Mic).
+        *   *Note:* Do **not** select Hearbit Audio as your microphone in Teams.
+
+3.  **Start Recording**:
+    *   In Hearbit AI, ensure **Hearbit Audio** is selected as the input.
 
 ---
 
@@ -72,6 +92,37 @@ We've made this easy! Hearbit AI includes a built-in helper to set up your audio
 
 ---
 
+## 🎨 Custom Branding (White-Labeling)
+
+You can replace the default Livtec logo with your own company branding:
+
+1.  Go to **Settings** (gear icon) → **Branding**.
+2.  Click **Upload Logo**.
+3.  Select your file (PNG, JPG, SVG).
+4.  The content changes immediately across the app.
+5.  *Tip*: Use a transparent PNG for best results.
+
+---
+
+## 📧 Advanced Email Templates
+
+The email system supports **full HTML & JavaScript** templates. This allows for dynamic dashboards, charts, and interactive reports.
+
+**How to use:**
+1.  Go to **Settings** → **Email**.
+2.  Create a new template.
+3.  Use `{{summary}}` as a placeholder for the raw AI JSON output.
+4.  In your HTML/Script, parse it:
+    ```javascript
+    const reportData = {{summary}};
+    // Now you can use reportData.todos, reportData.updates, etc.
+    ```
+5.  Use `{{date}}` for the current date and `{{subject}}` for the meeting title.
+
+*Example*: Create a "Daily Standup Dashboard" that visualizes Blocker/Updates/Todos in a grid layout.
+
+---
+
 ## ❓ Troubleshooting
 
 ### "Hearbit AI is damaged and can't be opened"
@@ -85,6 +136,25 @@ This is a standard macOS warning for apps not signed with an Apple Developer Cer
 3.  Enter your password.
 4.  Open the app again.
 
+### Long Meetings (> 1 hour)
+
+**Automatic Handling**: The app automatically handles long recordings:
+- **MP3 Conversion**: All recordings are converted to MP3 (64kbps) for 10x compression
+- **Chunking**: Files ≥18 MB are automatically split into 10-minute segments
+- **Processing**: Each segment is transcribed separately and merged with timestamps
+
+**Example**: A 2-hour meeting:
+1. Records as WAV (~120 MB)
+2. Converts to MP3 (~12 MB) 
+3. Stays under limit → No chunking needed!
+
+**Very long meetings** (e.g., all-day workshops):
+- Automatically chunks into segments
+- Shows progress: "Processing chunk 1/15..."
+- Merges all transcriptions seamlessly
+
+### No Audio / Can't Hear Meeting Participants
+
 ---
 
 ## 👨‍💻 Development

RELEASE_NOTES_1.1.0.md

@@ -0,0 +1,81 @@
+# Release Notes - Version 1.1.0
+
+**Release Date**: January 21, 2026
+
+## 🎉 What's New
+
+### Import Audio Files Feature
+
+We've added a powerful new **Import** tab that allows you to upload and process existing audio/video files!
+
+**Key Features:**
+- **Drag-and-Drop Upload**: Simply drag your audio files into the app
+- **8 Format Support**: MP3, MP4, WAV, M4A, FLAC, OGG, AAC, WMA
+- **Smart Metadata Display**: See file duration, size, and format before processing
+- **Editable Meeting Titles**: Customize the name (defaults to filename)
+- **Progress Tracking**: Visual indicators for each stage (Validating → Transcribing → Summarizing)
+- **Same AI Power**: Uses the same AI templates and Smart Select as live recordings
+- **Auto-Navigation**: Seamlessly transition to Transcription view when complete
+
+**Use Cases:**
+- Process pre-recorded meetings you forgot to record live
+- Batch process voice memos
+- Import recordings from other devices
+- Archive and transcribe old meeting recordings
+
+---
+
+## 📝 Documentation Updates
+
+### README Enhancements
+- Added mandatory **BlackHole 2ch Driver** requirement to Prerequisites
+- Clarified **Teams/Zoom configuration** (Speaker vs. Microphone settings)
+- Added detailed setup instructions for meeting audio capture
+
+---
+
+## 🔧 Technical Improvements
+
+- Added `get_audio_metadata` Rust command for file metadata extraction
+- Improved tab navigation with new Import tab
+- Enhanced error handling for file validation
+- Code optimizations and cleanup
+
+---
+
+## 📦 Installation
+
+Download the DMG file:
+```
+Hearbit_AI_1.1.0_aarch64.dmg
+```
+
+**Location**: `src-tauri/target/release/bundle/dmg/`
+
+### First-time Installation
+If you see "Hearbit AI is damaged and can't be opened":
+```bash
+sudo xattr -cr /Applications/Hearbit\ AI.app
+```
+
+---
+
+## 🐛 Known Issues
+
+None reported for this release.
+
+---
+
+## 🙏 Credits
+
+Built with ❤️ by the Livtec team using Tauri, React, and TypeScript.
+
+---
+
+## What's Next?
+
+Potential future enhancements:
+- Meeting auto-stop when meeting ends (via M365 API)
+- Batch file import
+- Audio preview player
+- More audio format conversions

package.json

@@ -1,7 +1,7 @@
 {
   "name": "hearbit-ai",
   "private": true,
-  "version": "1.1.0",
+  "version": "1.1.1",
   "type": "module",
   "scripts": {
     "dev": "vite",

src-tauri/Cargo.lock

@@ -1739,8 +1739,9 @@ checksum = "841d1cc9bed7f9236f321df977030373f4a4163ae1a7dbfe1a51a2c1a51d9100"
 
 [[package]]
 name = "hearbit-ai"
-version = "1.1.0"
+version = "0.1.2"
 dependencies = [
+ "base64 0.22.1",
  "chrono",
  "cpal",
  "hound",
@@ -1757,6 +1758,7 @@ dependencies = [
  "tauri-plugin-log",
  "tauri-plugin-oauth",
  "tauri-plugin-opener",
+ "tauri-plugin-shell",
  "tokio",
  "url",
  "voice_activity_detector",
@@ -3089,6 +3091,16 @@ dependencies = [
  "ureq",
 ]
 
+[[package]]
+name = "os_pipe"
+version = "1.2.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7d8fae84b431384b68627d0f9b3b1245fcf9f46f6c0e3dc902e9dce64edd1967"
+dependencies = [
+ "libc",
+ "windows-sys 0.61.2",
+]
+
 [[package]]
 name = "pango"
 version = "0.18.3"
@@ -4361,12 +4373,44 @@ dependencies = [
  "digest",
 ]
 
+[[package]]
+name = "shared_child"
+version = "1.1.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1e362d9935bc50f019969e2f9ecd66786612daae13e8f277be7bfb66e8bed3f7"
+dependencies = [
+ "libc",
+ "sigchld",
+ "windows-sys 0.60.2",
+]
+
 [[package]]
 name = "shlex"
 version = "1.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0fda2ff0d084019ba4d7c6f371c95d8fd75ce3524c3cb8fb653a3023f6323e64"
 
+[[package]]
+name = "sigchld"
+version = "0.2.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "47106eded3c154e70176fc83df9737335c94ce22f821c32d17ed1db1f83badb1"
+dependencies = [
+ "libc",
+ "os_pipe",
+ "signal-hook",
+]
+
+[[package]]
+name = "signal-hook"
+version = "0.3.18"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d881a16cf4426aa584979d30bd82cb33429027e42122b169753d6ef1085ed6e2"
+dependencies = [
+ "libc",
+ "signal-hook-registry",
+]
+
 [[package]]
 name = "signal-hook-registry"
 version = "1.4.8"
@@ -4951,6 +4995,27 @@ dependencies = [
  "zbus",
 ]
 
+[[package]]
+name = "tauri-plugin-shell"
+version = "2.3.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "39b76f884a3937e04b631ffdc3be506088fa979369d25147361352f2f352e5ed"
+dependencies = [
+ "encoding_rs",
+ "log",
+ "open",
+ "os_pipe",
+ "regex",
+ "schemars 0.8.22",
+ "serde",
+ "serde_json",
+ "shared_child",
+ "tauri",
+ "tauri-plugin",
+ "thiserror 2.0.18",
+ "tokio",
+]
+
 [[package]]
 name = "tauri-runtime"
 version = "2.9.2"

src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "hearbit-ai"
-version = "1.1.0"
+version = "0.1.2"
 description = "A Tauri App"
 authors = ["you"]
 edition = "2021"
@@ -18,7 +18,7 @@ crate-type = ["staticlib", "cdylib", "rlib"]
 tauri-build = { version = "2", features = [] }
 
 [dependencies]
-tauri = { version = "2", features = [] }
+tauri = { version = "2", features = ["tray-icon"] }
 tauri-plugin-opener = "2"
 tauri-plugin-dialog = "2"
 serde = { version = "1", features = ["derive"] }
@@ -36,3 +36,5 @@ oauth2 = "4.4"
 url = "2.5"
 lettre = { version = "0.11", features = ["tokio1", "tokio1-native-tls", "builder"] }
 tauri-plugin-log = "2.0.0"
+tauri-plugin-shell = "2.3.4"
+base64 = "0.22"

src-tauri/resources/create_hearbit_audio.swift

@@ -110,6 +110,9 @@ func createAggregateDevice() {
     }
     print("Found BlackHole 2ch (ID: \(blackHoleID))")
     
+    // --- PART 1: Hearbit Audio (Input: Mic + BlackHole) ---
+    print("\n--- Creating 'Hearbit Audio' (Input) ---")
+    
     // Default Input
     var defaultInputID: AudioObjectID = 0
     var size = UInt32(MemoryLayout<AudioObjectID>.size)
@@ -125,19 +128,14 @@ func createAggregateDevice() {
     }
     print("Found Default Input (ID: \(defaultInputID))")
     
-    // Check for existing "Hearbit Audio" by UID
-    let targetUID = "hearbit_audio_aggregate_v1"
-    if let existingID = findDeviceByUID(targetUID) {
-        print("Found existing Hearbit Audio device (ID: \(existingID)). Destroying to recreate...")
-        if AudioHardwareDestroyAggregateDevice(existingID) != noErr {
-            print("Warning: Failed to destroy existing device.")
-        } else {
-            print("Existing device destroyed.")
-        }
+    // Check for existing "Hearbit Audio"
+    let inputUID = "hearbit_audio_aggregate_v1"
+    if let existingID = findDeviceByUID(inputUID) {
+        print("Found existing Hearbit Audio (ID: \(existingID)). Destroying...")
+        AudioHardwareDestroyAggregateDevice(existingID)
         Thread.sleep(forTimeInterval: 0.5)
     }
     
-    // Build SubDevice List
     guard let bhUID = getStringProperty(objectID: blackHoleID, selector: kAudioDevicePropertyDeviceUID) else {
         print("Error: Could not get BlackHole UID.")
         exit(1)
@@ -147,36 +145,47 @@ func createAggregateDevice() {
         exit(1)
     }
     
-    // Dedup: if Mic IS BlackHole (user set BlackHole as default), don't duplicate
     var subDevicesUIDs = [bhUID]
     if micUID != bhUID {
         subDevicesUIDs.append(micUID)
     }
     
-    let subDevicesArray = subDevicesUIDs.map { 
-        [kAudioSubDeviceUIDKey: $0]
-    }
-    
-    let desc: [String: Any] = [
+    let subDevicesArray = subDevicesUIDs.map { [kAudioSubDeviceUIDKey: $0] }
+    let inputDesc: [String: Any] = [
         kAudioAggregateDeviceNameKey: "Hearbit Audio",
-        kAudioAggregateDeviceUIDKey: targetUID,
+        kAudioAggregateDeviceUIDKey: inputUID,
         kAudioAggregateDeviceIsPrivateKey: Int(0),
         kAudioAggregateDeviceIsStackedKey: Int(0),
         kAudioAggregateDeviceSubDeviceListKey: subDevicesArray
     ]
     
-    print("Creating Aggregate Device with UIDs: \(subDevicesUIDs)")
-    
-    var outID: AudioObjectID = 0
-    let err = AudioHardwareCreateAggregateDevice(desc as CFDictionary, &outID)
-    
-    if err == noErr {
-        print("Success! Created 'Hearbit Audio' with ID: \(outID)")
-        exit(0)
+    var outInputID: AudioObjectID = 0
+    let errIn = AudioHardwareCreateAggregateDevice(inputDesc as CFDictionary, &outInputID)
+    if errIn == noErr {
+        print("Success! Created 'Hearbit Audio' with ID: \(outInputID)")
     } else {
-        print("Failed to create device. Error code: \(err) (\(err.fourCC))")
-        exit(1)
+        print("Failed to create 'Hearbit Audio'. Error: \(errIn)")
     }
+
+
+    // --- PART 2: Cleanup Unstable "Hearbit Speakers" ---
+    // The previous "Hearbit Speakers" device caused MS Teams to crash.
+    // We strictly remove it here to restore stability.
+    print("\n--- Cleaning up Unstable Devices ---")
+    let stopOutputUID = "hearbit_speakers_aggregate_v1"
+    if let existingOutID = findDeviceByUID(stopOutputUID) {
+        print("Found unstable 'Hearbit Speakers' (ID: \(existingOutID)). Removing to fix Teams crash...")
+        let errDist = AudioHardwareDestroyAggregateDevice(existingOutID)
+        if errDist == noErr {
+            print("Successfully removed unstable device.")
+        } else {
+             print("Warning: Failed to remove device. Error: \(errDist)")
+        }
+    } else {
+        print("No unstable 'Hearbit Speakers' found. System is clean.")
+    }
+    
+    exit(0)
 }
 
 createAggregateDevice()

src-tauri/src/audio_processor.rs

@@ -11,6 +11,9 @@ pub struct AudioProcessor {
     vad_chunk_size: usize,
     vad_buffer: Vec<f32>,
     
+    // Audio Config
+    channel_count: u16,
+    
     // Resampler
     resampler: FastFixedIn<f32>,
     resample_input_buffer: Vec<f32>,
@@ -21,6 +24,9 @@ pub struct AudioProcessor {
     last_speech_time: u64, // In samples or frames
     hangover_samples: u64,
     
+    // Waiting Mode
+    waiting_for_speech: bool,
+
     // Ring Buffer (for pre-roll)
     ring_buffer: Vec<f32>,
     ring_pos: usize,
@@ -38,11 +44,13 @@ pub struct AudioProcessor {
 impl AudioProcessor {
     pub fn new(
         sample_rate: u32,
+        channel_count: u16,
         writer: Arc<Mutex<WavWriter<std::io::BufWriter<std::fs::File>>>>,
-        app_handle: AppHandle
+        app_handle: AppHandle,
+        wait_for_speech: bool
     ) -> Result<Self, String> {
         let vad_sample_rate = 16000;
-        let vad_chunk_size = 512; // Silero usually likes ~30ms which is 512 at 16k? No 16000 * 0.032 = 512.
+        let vad_chunk_size = 512; 
         
         // Initialize VAD
         let vad = VoiceActivityDetector::builder()
@@ -51,8 +59,7 @@ impl AudioProcessor {
             .build()
             .map_err(|e| format!("Failed to init VAD: {:?}", e))?;
 
-        // Initialize Resampler (Input Rate -> 16000) using FastFixedIn for speed/simplicity
-        // new(f_ratio, max_resample_ratio_relative, polyn_deg, chunk_size, channels)
+        // Initialize Resampler (Input Rate -> 16000)
         let resampler = FastFixedIn::<f32>::new(
             16000.0 / sample_rate as f64,
             1.0, 
@@ -61,20 +68,26 @@ impl AudioProcessor {
             1
         ).map_err(|e| format!("Failed to init Resampler: {:?}", e))?;
 
-        // Pre-roll buffer (e.g. 0.5 seconds of high quality audio)
+        // Pre-roll buffer (1.0 seconds) * Channels (interleaved store)
         let ring_curr_seconds = 1.0; 
-        let ring_size = (sample_rate as f32 * ring_curr_seconds) as usize;
+        // WavWriter writes interleaved, so we store interleaved.
+        let ring_size = (sample_rate as f32 * ring_curr_seconds) as usize * channel_count as usize;
 
         Ok(Self {
             vad,
             vad_chunk_size,
             vad_buffer: Vec::new(),
+            channel_count,
             resampler,
             resample_input_buffer: Vec::new(),
             resample_output_buffer: Vec::new(),
             is_speech_active: false,
             last_speech_time: 0,
-            hangover_samples: (sample_rate as f32 * 1.5) as u64, // 1.5s hangover
+            // Hangover counts "processed samples" which are actually frames * channels in current logic?
+            // Actually total_processed_samples usually counts FRAMES in audio terminology, but here we count elements.
+            // Let's stick to elements to match existing logic logic.
+            hangover_samples: (sample_rate as f32 * 1.5 * channel_count as f32) as u64, 
+            waiting_for_speech: wait_for_speech,
             ring_buffer: vec![0.0; ring_size],
             ring_pos: 0,
             ring_size,
@@ -87,30 +100,39 @@ impl AudioProcessor {
     }
 
     pub fn process(&mut self, data: &[f32]) {
-        // 1. Add to Ring Buffer (always, for pre-roll)
+        // 1. Add to Ring Buffer (Interleaved data - Record EVERYTHING)
         for &sample in data {
             self.ring_buffer[self.ring_pos] = sample;
             self.ring_pos = (self.ring_pos + 1) % self.ring_size;
         }
 
-        // 2. Resample for VAD
-        // We append new data to input buffer for resampler
-        self.resample_input_buffer.extend_from_slice(data);
+        // 2. Prepare VAD Signal (Mono Mixdown)
+        // FRESH START LOGIC (v0.2.0):
+        // We expect standard Stereo Input (BlackHole 2ch).
+        // No magic 3-channel aggregate.
         
-        // Process in chunks compatible with resampler
-        // Actually rubato process_into_buffer needs waves of input.
-        // Simplified: SincFixedIn wants a fixed number of input frames? 
-        // Docs: "retrieve result... input buffer must contain needed number of frames"
-        // SincFixedIn: "input buffer used for resampling... must receive a fixed number of frames"
-        // Wait, SincFixedIn is fixed INPUT size. SincFixedOut is fixed OUTPUT size.
-        // We want to feed whatever we get.
-        // For simplicity, let's use a simpler resampling strategy or accept rubato's constraints.
-        // Rubato SincFixedIn: we must provide `input_frames_next` frames.
+        let channels = self.channel_count as usize;
+        let frame_count = data.len() / channels;
+        let mut vad_input_chunk = Vec::with_capacity(frame_count);
 
-        // Let's defer strict resampling and just use decimation if sample rate is multiple?
-        // No, user devices vary.
+        for i in 0..frame_count {
+            let frame_start = i * channels;
+            
+            let mix_sample = if channels >= 2 {
+                // Stereo -> Average L + R
+                (data[frame_start] + data[frame_start + 1]) / 2.0
+            } else {
+                // Mono -> Take as is
+                data[frame_start]
+            };
+            
+            vad_input_chunk.push(mix_sample);
+        }
+
+
+        // 3. Resample for VAD
+        self.resample_input_buffer.extend_from_slice(&vad_input_chunk);
         
-        // Handling Resampling properly:
         let needed = self.resampler.input_frames_next();
         while self.resample_input_buffer.len() >= needed {
              let chunk: Vec<f32> = self.resample_input_buffer.drain(0..needed).collect();
@@ -127,63 +149,87 @@ impl AudioProcessor {
              // Update output buffer usage... logic is tricky with drain.
         }
 
-        // 3. Process VAD
+        // 4. Process VAD
         while self.vad_buffer.len() >= self.vad_chunk_size {
             let vad_chunk: Vec<f32> = self.vad_buffer.drain(0..self.vad_chunk_size).collect();
             // Run Detection
-            // Run Detection
             let probability = self.vad.predict(vad_chunk.clone());
             
             // Calculate RMS for this chunk to use as fallback/hybrid detection
             let sq_sum: f32 = vad_chunk.iter().map(|x| x * x).sum();
             let rms = (sq_sum / vad_chunk.len() as f32).sqrt();
 
-            // Hybrid VAD: Probability > 0.4 OR RMS > 0.005 (approx -46dB)
-            let is_speech = probability > 0.4 || rms > 0.005;
+            // Hybrid VAD: Probability > 0.9 OR RMS > 0.025
+            // INCREASED THRESHOLDS (v1.1.1): 
+            // Reduced sensitivity to avoid background noise triggering recording.
+            let is_speech = probability > 0.9 || rms > 0.025; 
 
             if is_speech {
                 self.is_speech_active = true;
                 self.last_speech_time = self.total_processed_samples;
             }
             
-            // Emit VAD event periodically (every 500ms)
+            // Emit VAD event periodically (every 500ms is enough for non-diagnostic mode)
             if self.last_event_time.elapsed().as_millis() > 500 {
-                // Calculate simple RMS of the current chunk for debugging
-                let sq_sum: f32 = vad_chunk.iter().map(|x| x * x).sum();
-                let rms = (sq_sum / vad_chunk.len() as f32).sqrt();
-                
-                // Print debug info to stdout (viewable in terminal)
-                println!("VAD Debug: Prob={:.4}, RMS={:.6}, Speech={}", probability, rms, is_speech);
-
                 if let Some(app) = &self.app_handle {
-                     // Just sending probability is enough for now
-                     #[derive(serde::Serialize, Clone)]
+                     #[derive(Clone, serde::Serialize)]
                      struct VadEvent {
-                         probability: f32,
                          is_speech: bool,
+                         probability: f32,
                      }
-                     let _ = app.emit("vad-event", VadEvent { probability, is_speech });
+                     let _ = app.emit("vad-event", VadEvent { 
+                         probability, 
+                         is_speech: self.is_speech_active,
+                     });
                 }
                 self.last_event_time = std::time::Instant::now();
+                
+                // IMPORTANT: We reset is_speech_active after emitting, 
+                // so we don't latch it forever if the user stops talking.
+                // However, the main loop sets it to true if current chunk is speech.
+                // This logic is a bit of a "latch for X ms".
+                self.is_speech_active = false; 
             }
         }
 
+        
         // 4. Update Hangover and Check Write condition
+        if self.waiting_for_speech {
+            if self.is_speech_active {
+                // Trigger Detected!
+                println!("Auto-Start: Speech detected. Flushing pre-roll...");
+                self.waiting_for_speech = false;
+
+                // Flush Ring Buffer (Orderly: from ring_pos to end, then 0 to ring_pos)
+                let mut guard = self.writer.lock().unwrap();
+                let amplitude = i16::MAX as f32;
+                
+                // Part 1: ring_pos to end
+                for i in self.ring_pos..self.ring_size {
+                     let sample = self.ring_buffer[i];
+                     guard.write_sample((sample * amplitude) as i16).ok();
+                }
+                // Part 2: 0 to ring_pos
+                for i in 0..self.ring_pos {
+                    let sample = self.ring_buffer[i];
+                    guard.write_sample((sample * amplitude) as i16).ok();
+                }
+
+                // Emit event to notify frontend that "real" recording started
+                if let Some(app) = &self.app_handle {
+                    let _ = app.emit("auto-recording-triggered", ());
+                }
+
+            } else {
+                // Still waiting, do not write to file.
+                return; 
+            }
+        }
+
+        // Standard Recording Logic (Active or Hangover)
         let time_since_speech = self.total_processed_samples.saturating_sub(self.last_speech_time);
         
         if self.is_speech_active || time_since_speech < self.hangover_samples {
-             // We are recording!
-             // Check if we just started (transition)
-             // Ideally we dump the ring buffer here if we just switched state.
-             // Implementing perfect ring buffer dump is complex (need to track state changes better).
-             // MVP: Just Write Current Data if in state.
-             
-             // Improvement: If we are in hangover, we just write.
-             // If we just detected speech (was not speech?), dump ring buffer? 
-             // We'd need to know if we 'wrote' the ring buffer already.
-             
-             // Simple Logic: just write all incoming data if (Now - LastSpeech < Hangover)
-             
              let mut guard = self.writer.lock().unwrap();
              for &sample in data {
                  let amplitude = i16::MAX as f32;

src-tauri/src/lib.rs

@@ -1,9 +1,15 @@
-use tauri::{AppHandle, Manager, State, Emitter};
+use tauri::{
+    AppHandle, Manager, State, Emitter, 
+    menu::{Menu, MenuItem},
+    tray::{TrayIconBuilder, TrayIconEvent},
+    WindowEvent
+};
 use std::sync::{Arc, Mutex};
 use std::process::Command;
 use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
 use std::time::Duration;
 use tokio::time::sleep;
+use base64::Engine;
 
 mod audio_processor;
 use audio_processor::AudioProcessor;
@@ -65,7 +71,7 @@ fn get_input_devices() -> Result<Vec<AudioDevice>, String> {
 
 
 #[tauri::command]
-fn start_recording(app: AppHandle, state: State<'_, AppState>, device_id: String, save_path: Option<String>, custom_filename: Option<String>) -> Result<(), String> {
+fn start_recording(app: AppHandle, state: State<'_, AppState>, device_id: String, save_path: Option<String>, custom_filename: Option<String>, wait_for_speech: Option<bool>) -> Result<(), String> {
     emit_log(&app, "INFO", &format!("Starting recording on device: {}", device_id));
     let host = cpal::default_host();
     
@@ -77,15 +83,16 @@ fn start_recording(app: AppHandle, state: State<'_, AppState>, device_id: String
         .or_else(|| host.default_input_device())
         .ok_or("No input device found")?;
 
-    let config = device.default_input_config().map_err(|e| e.to_string())?;
+    // Select the configuration with the MAXIMUM number of channels
+    // This is crucial for "Hearbit Audio" (Aggregate) which lists 3 channels but might default to 2.
+    // We want the raw 3 channels to separate Mic (Ch0) from System (Ch1+2).
+    let supported_configs = device.supported_input_configs().map_err(|e| e.to_string())?;
+    let config = supported_configs
+        .max_by_key(|c| c.channels())
+        .map(|c| c.with_max_sample_rate())
+        .ok_or("No supported input configurations found")?;
 
-    // VAD requires 16Hz or 8kHz, typically. Silero likes 16k.
-    // We might need to resample or just check if the device supports it. 
-    // For MVP VAD, we will try to stick to standard rates.
-    // Actually, simple energy VAD is easier to start with if Silero is too heavy or requires ONNX runtime.
-    // Let's check the crate docs or usage first. 
-    // Wait, the user wants to IGNORE music. Energy VAD will fail on music.
-    // voice_activity_detector crate usually uses Silero or similar.
+    emit_log(&app, "INFO", &format!("Selected Audio Config: {} Channels, {} Hz", config.channels(), config.sample_rate()));
 
     let spec = hound::WavSpec {
         channels: config.channels(),
@@ -122,7 +129,12 @@ fn start_recording(app: AppHandle, state: State<'_, AppState>, device_id: String
     
     // Initialize AudioProcessor (VAD)
     // We pass the writer to it.
-    let processor = AudioProcessor::new(config.sample_rate(), writer.clone(), app.clone())
+    let should_wait = wait_for_speech.unwrap_or(false);
+    if should_wait {
+        emit_log(&app, "INFO", "Recording started in WAITING mode (buffer-only until speech).");
+    }
+
+    let processor = AudioProcessor::new(config.sample_rate(), config.channels(), writer.clone(), app.clone(), should_wait)
         .map_err(|e| format!("Failed to create AudioProcessor: {}", e))?;
         
     // Wrap processor in Arc<Mutex> so we can share/move it into callback
@@ -560,6 +572,189 @@ async fn summarize_text(app: AppHandle, text: String, api_key: String, product_i
     }
 }
 
+#[derive(serde::Serialize)]
+struct AudioMetadata {
+    duration: f64,
+    size: u64,
+    format: String,
+}
+
+// Helper to find ffmpeg/ffprobe in common paths
+fn resolve_binary_path(binary_name: &str) -> String {
+    let common_paths = [
+        format!("/opt/homebrew/bin/{}", binary_name),
+        format!("/usr/local/bin/{}", binary_name),
+        format!("/usr/bin/{}", binary_name),
+    ];
+
+    for path in common_paths.iter() {
+        if std::path::Path::new(path).exists() {
+            return path.clone();
+        }
+    }
+    
+    // Fallback to expecting it in PATH
+    binary_name.to_string()
+}
+
+#[tauri::command]
+fn get_audio_metadata(app: AppHandle, file_path: String) -> Result<AudioMetadata, String> {
+    emit_log(&app, "INFO", &format!("Getting metadata for: {}", file_path));
+    
+    let path = std::path::Path::new(&file_path);
+    if !path.exists() {
+        return Err(format!("File not found: {}", file_path));
+    }
+
+    let size = std::fs::metadata(&file_path)
+        .map_err(|e| e.to_string())?
+        .len();
+
+    // Use ffprobe to get duration
+    // Try resolved path first
+    let ffprobe_cmd = resolve_binary_path("ffprobe");
+    
+    let output = Command::new(&ffprobe_cmd)
+        .args([
+            "-v", "error",
+            "-show_entries", "format=duration",
+            "-of", "default=noprint_wrappers=1:nokey=1",
+            &file_path
+        ])
+        .output()
+        .map_err(|e| format!("Failed to execute ffprobe at '{}': {}", ffprobe_cmd, e))?;
+
+    let duration_str = String::from_utf8_lossy(&output.stdout);
+    let duration: f64 = duration_str.trim().parse().unwrap_or(0.0);
+    
+    // Extension as format
+    let format = path.extension()
+        .and_then(|e| e.to_str())
+        .unwrap_or("unknown")
+        .to_string();
+
+    Ok(AudioMetadata {
+        duration,
+        size,
+        format,
+    })
+}
+
+#[tauri::command]
+fn convert_to_mp3(app: AppHandle, wav_path: String) -> Result<String, String> {
+    emit_log(&app, "INFO", &format!("Converting to MP3: {}", wav_path));
+    
+    let mp3_path = wav_path.replace(".wav", ".mp3");
+    let ffmpeg_cmd = resolve_binary_path("ffmpeg");
+    
+    let output = Command::new(&ffmpeg_cmd)
+        .args([
+            "-i", &wav_path,
+            "-codec:a", "libmp3lame",
+            "-b:a", "64k",
+            "-y", // overwrite
+            &mp3_path
+        ])
+        .output()
+        .map_err(|e| format!("Failed to execute ffmpeg at '{}': {}", ffmpeg_cmd, e))?;
+    
+    if output.status.success() {
+        emit_log(&app, "SUCCESS", &format!("MP3 created: {}", mp3_path));
+        Ok(mp3_path)
+    } else {
+        let error = String::from_utf8_lossy(&output.stderr);
+        emit_log(&app, "ERROR", &format!("MP3 conversion failed: {}", error));
+        Err(format!("MP3 conversion failed: {}", error))
+    }
+}
+
+#[tauri::command]
+fn chunk_audio(app: AppHandle, file_path: String, chunk_minutes: u32) -> Result<Vec<String>, String> {
+    emit_log(&app, "INFO", &format!("Chunking audio: {} ({}min chunks)", file_path, chunk_minutes));
+    
+    let chunk_seconds = chunk_minutes * 60;
+    let ffprobe_cmd = resolve_binary_path("ffprobe");
+    let ffmpeg_cmd = resolve_binary_path("ffmpeg");
+    
+    // Get total duration using ffprobe
+    let duration_output = Command::new(&ffprobe_cmd)
+        .args([
+            "-v", "error",
+            "-show_entries", "format=duration",
+            "-of", "default=noprint_wrappers=1:nokey=1",
+            &file_path
+        ])
+        .output()
+        .map_err(|e| format!("Failed to get duration with '{}': {}", ffprobe_cmd, e))?;
+    
+    let duration_str = String::from_utf8_lossy(&duration_output.stdout);
+    let duration: f64 = duration_str.trim().parse()
+        .map_err(|_| "Failed to parse duration".to_string())?;
+    
+    let num_chunks = (duration / chunk_seconds as f64).ceil() as usize;
+    emit_log(&app, "INFO", &format!("Total duration: {}s, creating {} chunks", duration, num_chunks));
+    
+    let mut chunk_paths = Vec::new();
+    let base_path = file_path.replace(".mp3", "");
+    
+    for i in 0..num_chunks {
+        let start_time = i as u32 * chunk_seconds;
+        let chunk_path = format!("{}_chunk_{}.mp3", base_path, i);
+        
+        let output = Command::new(&ffmpeg_cmd)
+            .args([
+                "-i", &file_path,
+                "-ss", &start_time.to_string(),
+                "-t", &chunk_seconds.to_string(),
+                "-c", "copy",
+                "-y",
+                &chunk_path
+            ])
+            .output()
+            .map_err(|e| format!("Failed to create chunk {} with '{}': {}", i, ffmpeg_cmd, e))?;
+        
+        if !output.status.success() {
+            let error = String::from_utf8_lossy(&output.stderr);
+            return Err(format!("Chunk {} failed: {}", i, error));
+        }
+        
+        chunk_paths.push(chunk_path);
+    }
+    
+    emit_log(&app, "SUCCESS", &format!("Created {} chunks", chunk_paths.len()));
+    Ok(chunk_paths)
+}
+
+#[tauri::command]
+fn read_image_as_base64(app: AppHandle, file_path: String) -> Result<String, String> {
+    emit_log(&app, "INFO", &format!("Reading image as base64: {}", file_path));
+    
+    let bytes = std::fs::read(&file_path)
+        .map_err(|e| format!("Failed to read file: {}", e))?;
+    
+    // Detect image type from extension
+    let extension = std::path::Path::new(&file_path)
+        .extension()
+        .and_then(|e| e.to_str())
+        .unwrap_or("png")
+        .to_lowercase();
+    
+    let mime_type = match extension.as_str() {
+        "jpg" | "jpeg" => "image/jpeg",
+        "png" => "image/png",
+        "svg" => "image/svg+xml",
+        "gif" => "image/gif",
+        _ => "image/png"
+    };
+    
+    // Use base64 encoding
+    let base64_str = base64::prelude::BASE64_STANDARD.encode(&bytes);
+    let data_url = format!("data:{};base64,{}", mime_type, base64_str);
+    
+    emit_log(&app, "SUCCESS", &format!("Image converted to base64 ({} bytes)", base64_str.len()));
+    Ok(data_url)
+}
+
 #[tauri::command]
 fn open_audio_midi_setup() -> Result<(), String> {
     Command::new("open")
@@ -640,6 +835,49 @@ async fn read_log_file(app: AppHandle) -> Result<String, String> {
 #[cfg_attr(mobile, tauri::mobile_entry_point)]
 pub fn run() {
     tauri::Builder::default()
+        .setup(|app| {
+            // Setup Tray Icon
+            let quit_i = MenuItem::with_id(app, "quit", "Quit Hearbit AI", true, None::<&str>).unwrap();
+            let show_i = MenuItem::with_id(app, "show", "Show Window", true, None::<&str>).unwrap();
+            let menu = Menu::with_items(app, &[&show_i, &quit_i]).unwrap();
+
+            let _tray = TrayIconBuilder::new()
+                .icon(app.default_window_icon().unwrap().clone())
+                .menu(&menu)
+                .show_menu_on_left_click(true) 
+                .on_menu_event(|app, event| {
+                    match event.id.as_ref() {
+                        "quit" => app.exit(0),
+                        "show" => {
+                            if let Some(window) = app.get_webview_window("main") {
+                                let _ = window.show();
+                                let _ = window.set_focus();
+                            }
+                        }
+                        _ => {}
+                    }
+                })
+                .on_tray_icon_event(|tray, event| {
+                     if let TrayIconEvent::Click { .. } = event {
+                          let app = tray.app_handle();
+                          if let Some(window) = app.get_webview_window("main") {
+                               let _ = window.show();
+                               let _ = window.set_focus();
+                          }
+                     }
+                })
+                .build(app)?;
+
+            Ok(())
+        })
+        .on_window_event(|window, event| {
+            if let WindowEvent::CloseRequested { api, .. } = event {
+                // Prevent window from closing, just hide it
+                window.hide().unwrap();
+                api.prevent_close();
+            }
+        })
+        .plugin(tauri_plugin_shell::init())
         .plugin(tauri_plugin_log::Builder::default()
             .targets([
                 tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::Stdout),
@@ -670,6 +908,10 @@ pub fn run() {
             auth::get_calendar_events,
             save_text_file,
             read_log_file,
+            get_audio_metadata,
+            convert_to_mp3,
+            chunk_audio,
+            read_image_as_base64,
             email::send_smtp_email
         ])
         .run(tauri::generate_context!())

src-tauri/tauri.conf.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://schema.tauri.app/config/2",
   "productName": "Hearbit AI",
-  "version": "1.1.0",
+  "version": "1.1.1",
   "identifier": "com.hearbit-ai.desktop",
   "build": {
     "beforeDevCommand": "npm run dev",

src/App.tsx

@@ -7,6 +7,7 @@ import TranscriptionView from "./components/TranscriptionView";
 import Tabs from "./components/Tabs";
 import MeetingsView from "./components/MeetingsView";
 import HistoryView from "./components/HistoryView";
+import Import from "./components/Import";
 import ToastContainer, { ToastMessage, ToastType } from "./components/ui/Toast";
 
 export interface PromptTemplate {
@@ -24,8 +25,8 @@ export interface EmailTemplate {
 }
 
 function App() {
-  const [view, setView] = useState<'recorder' | 'settings' | 'transcription' | 'meetings' | 'history'>('recorder');
-  const [lastTab, setLastTab] = useState<'recorder' | 'transcription' | 'meetings' | 'history'>('recorder');
+  const [view, setView] = useState<'recorder' | 'settings' | 'transcription' | 'meetings' | 'history' | 'import'>('recorder');
+  const [lastTab, setLastTab] = useState<'recorder' | 'transcription' | 'meetings' | 'history' | 'import'>('recorder');
 
 
   // Auto-start recording state to handle "Join & Record" transition
@@ -311,6 +312,14 @@ Thanks!`
     }
   };
 
+  const handleRenameHistory = (id: string, newSubject: string) => {
+    const newHistory = history.map(item =>
+      item.id === id ? { ...item, subject: newSubject } : item
+    );
+    setHistory(newHistory);
+    localStorage.setItem('infomaniak_history', JSON.stringify(newHistory));
+  };
+
   const handleDeleteHistory = (id: string) => {
     const newHistory = history.filter(item => item.id !== id);
     setHistory(newHistory);
@@ -343,7 +352,7 @@ Thanks!`
           </div>
 
           <Tabs
-            currentTab={view as 'recorder' | 'transcription' | 'meetings' | 'history'}
+            currentTab={view as 'recorder' | 'transcription' | 'meetings' | 'history' | 'import'}
             onTabChange={(t) => setView(t)}
           />
         </div>
@@ -351,7 +360,8 @@ Thanks!`
 
       <div className="flex-1 flex h-full overflow-hidden relative">
         <div className="flex-1 flex flex-col h-full overflow-hidden relative">
-          {view === 'recorder' && (
+          {/* Recorder - Persistent (Hidden via CSS to keep recording alive) */}
+          <div className="flex-1 flex flex-col h-full overflow-hidden" style={{ display: view === 'recorder' ? 'flex' : 'none' }}>
             <Recorder
               apiKey={apiKey}
               productId={productId}
@@ -377,8 +387,9 @@ Thanks!`
               addToast={addToast}
               selectedModel={selectedModel}
               onModelChange={handleModelChange}
+              isVisible={view === 'recorder'}
             />
-          )}
+          </div>
 
           {view === 'transcription' && (
             <TranscriptionView
@@ -410,6 +421,10 @@ Thanks!`
               history={history}
               onLoad={handleLoadHistory}
               onDelete={handleDeleteHistory}
+              onRename={handleRenameHistory}
+              smtpConfig={smtpConfig}
+              emailTemplates={emailTemplates}
+              addToast={addToast}
             />
           )}
 
@@ -429,6 +444,23 @@ Thanks!`
             />
           )}
 
+          {view === 'import' && (
+            <Import
+              apiKey={apiKey}
+              productId={productId}
+              prompts={prompts}
+              selectedModel={selectedModel}
+              onSaveToHistory={handleSaveToHistory}
+              onComplete={() => setView('transcription')}
+              addToast={addToast}
+              setTranscription={setTranscription}
+              setSummary={setSummary}
+            />
+          )}
+
+
+
+
 
 
           {view === 'settings' && (

src/components/EmailPreviewModal.tsx

@@ -64,9 +64,14 @@ const EmailPreviewModal: React.FC<EmailPreviewModalProps> = ({
     const [activeTab, setActiveTab] = useState<'preview' | 'source'>('preview');
 
     const generateHtmlBody = (content: string, title: string) => {
-        // Simple heuristic: if it looks like HTML, treat as HTML. Otherwise, markdown.
-        const isHtml = /^\s*<(!DOCTYPE|html|div|p|table)/i.test(content);
-        const formattedBody = isHtml ? content : formatMarkdownToHtml(content);
+        // Check if it's a full HTML document
+        if (/^\s*<!DOCTYPE html/i.test(content) || /^\s*<html/i.test(content)) {
+            return content;
+        }
+
+        // Simple heuristic: if it looks like HTML fragment (div, p, table), treat as HTML. Otherwise, markdown.
+        const isHtmlFragment = /^\s*<(div|p|table|section|header|footer)/i.test(content);
+        const formattedBody = isHtmlFragment ? content : formatMarkdownToHtml(content);
 
         return `
 <!DOCTYPE html>
@@ -111,14 +116,17 @@ const EmailPreviewModal: React.FC<EmailPreviewModalProps> = ({
             // Replace placeholders
             const dateStr = new Date().toLocaleDateString();
             let newSub = tmpl.subject.replace(/{{date}}/g, dateStr).replace(/{{subject}}/g, "Meeting");
-            // Note: We don't have the original 'recordingSubject' here easily without more prop drilling, 
-            // so we default to "Meeting" or user can edit. 
-            // Actually, initialSubject usually contains "Meeting Summary", so we could parse it, but for now date/summary is most important.
+
+            // Clean up JSON if necessary (e.g. remove markdown code blocks ```json ... ```)
+            let cleanSummary = initialBody;
+            if (initialBody.trim().startsWith('```')) {
+                cleanSummary = initialBody.replace(/^```(json)?/i, '').replace(/```$/, '').trim();
+            }
 
             let newBody = tmpl.body
                 .replace(/{{date}}/g, dateStr)
                 .replace(/{{subject}}/g, "the meeting")
-                .replace(/{{summary}}/g, initialBody);
+                .replace(/{{summary}}/g, cleanSummary);
 
             setSubject(newSub);
             setBody(generateHtmlBody(newBody, newSub));
@@ -242,7 +250,7 @@ const EmailPreviewModal: React.FC<EmailPreviewModalProps> = ({
                                         srcDoc={body}
                                         className="w-full h-full border-none"
                                         title="Email Preview"
-                                        sandbox="allow-same-origin"
+                                        sandbox="allow-same-origin allow-scripts"
                                     />
                                 </div>
                             ) : (

src/components/HistoryView.tsx

@@ -1,4 +1,9 @@
-import { FileText, Trash2, Calendar } from 'lucide-react';
+import { FileText, Trash2, Calendar, Pencil, Check, X, Mail } from 'lucide-react';
+import { useState } from 'react';
+import EmailPreviewModal from './EmailPreviewModal';
+import { SmtpConfig } from './Settings';
+import { EmailTemplate } from '../App';
+import { ToastType } from './ui/Toast';
 
 interface HistoryItem {
     id: string;
@@ -13,9 +18,34 @@ interface HistoryViewProps {
     history: HistoryItem[];
     onLoad: (item: HistoryItem) => void;
     onDelete: (id: string) => void;
+    onRename: (id: string, newSubject: string) => void;
+    smtpConfig: SmtpConfig;
+    emailTemplates: EmailTemplate[];
+    addToast: (message: string, type: ToastType, duration?: number) => void;
 }
 
-export default function HistoryView({ history, onLoad, onDelete }: HistoryViewProps) {
+export default function HistoryView({ history, onLoad, onDelete, onRename, smtpConfig, emailTemplates, addToast }: HistoryViewProps) {
+    const [editingId, setEditingId] = useState<string | null>(null);
+    const [editValue, setEditValue] = useState("");
+    const [emailModalItem, setEmailModalItem] = useState<HistoryItem | null>(null);
+
+    const startEditing = (item: HistoryItem) => {
+        setEditingId(item.id);
+        setEditValue(item.subject || "Untitled Recording");
+    };
+
+    const saveEdit = () => {
+        if (editingId && editValue.trim()) {
+            onRename(editingId, editValue.trim());
+            setEditingId(null);
+        }
+    };
+
+    const cancelEdit = () => {
+        setEditingId(null);
+        setEditValue("");
+    };
+
     return (
         <div className="flex flex-col w-full h-full bg-background p-6">
             <h1 className="text-2xl font-bold mb-6 flex items-center gap-2">
@@ -33,23 +63,63 @@ export default function HistoryView({ history, onLoad, onDelete }: HistoryViewPr
                     {history.map(item => (
                         <div key={item.id} className="bg-card border border-border rounded-xl p-4 hover:shadow-md transition-all group">
                             <div className="flex justify-between items-start">
+                                <div className="flex-1">
+                                    {editingId === item.id ? (
+                                        <div className="flex items-center gap-2 mb-2" onClick={(e) => e.stopPropagation()}>
+                                            <input
+                                                autoFocus
+                                                type="text"
+                                                className="flex-1 bg-background border border-input rounded px-2 py-1 text-sm font-semibold focus:outline-none focus:ring-1 focus:ring-ring"
+                                                value={editValue}
+                                                onChange={(e) => setEditValue(e.target.value)}
+                                                onKeyDown={(e) => {
+                                                    if (e.key === 'Enter') saveEdit();
+                                                    if (e.key === 'Escape') cancelEdit();
+                                                }}
+                                            />
+                                            <button onClick={saveEdit} className="p-1 text-green-500 hover:bg-green-500/10 rounded">
+                                                <Check size={16} />
+                                            </button>
+                                            <button onClick={cancelEdit} className="p-1 text-muted-foreground hover:bg-muted rounded">
+                                                <X size={16} />
+                                            </button>
+                                        </div>
+                                    ) : (
                                         <div
-                                    className="flex-1 cursor-pointer"
+                                            className="cursor-pointer"
                                             onClick={() => onLoad(item)}
                                         >
-                                    <h3 className="text-lg font-semibold group-hover:text-primary transition-colors mb-1">
+                                            <h3 className="text-lg font-semibold group-hover:text-primary transition-colors mb-1 flex items-center gap-2">
                                                 {item.subject || "Untitled Recording"}
+                                                <button
+                                                    onClick={(e) => { e.stopPropagation(); startEditing(item); }}
+                                                    className="opacity-0 group-hover:opacity-100 text-muted-foreground hover:text-foreground p-1 rounded hover:bg-muted transition-all"
+                                                    title="Rename"
+                                                >
+                                                    <Pencil size={14} />
+                                                </button>
                                             </h3>
-                                    <div className="flex items-center gap-2 text-xs text-muted-foreground mb-2">
+                                        </div>
+                                    )}
+
+                                    <div className="flex items-center gap-2 text-xs text-muted-foreground mb-2" onClick={() => !editingId && onLoad(item)}>
                                         <Calendar size={12} />
                                         {item.date}
                                         {item.filename && <span className="bg-secondary px-1.5 py-0.5 rounded text-[10px] font-mono">{item.filename}</span>}
                                     </div>
-                                    <p className="text-sm text-foreground/70 line-clamp-2">
+                                    <p className="text-sm text-foreground/70 line-clamp-2 cursor-pointer" onClick={() => !editingId && onLoad(item)}>
                                         {item.summary ? item.summary.substring(0, 150) + "..." : "No summary available."}
                                     </p>
                                 </div>
 
+                                <div className="flex items-center gap-2">
+                                    <button
+                                        onClick={(e) => { e.stopPropagation(); setEmailModalItem(item); }}
+                                        className="text-muted-foreground hover:text-primary p-2 rounded-lg hover:bg-primary/10 transition-colors opacity-0 group-hover:opacity-100"
+                                        title="Send Email"
+                                    >
+                                        <Mail size={18} />
+                                    </button>
                                     <button
                                         onClick={(e) => { e.stopPropagation(); onDelete(item.id); }}
                                         className="text-muted-foreground hover:text-destructive p-2 rounded-lg hover:bg-destructive/10 transition-colors opacity-0 group-hover:opacity-100"
@@ -59,9 +129,21 @@ export default function HistoryView({ history, onLoad, onDelete }: HistoryViewPr
                                     </button>
                                 </div>
                             </div>
+                        </div>
                     ))}
                 </div>
             )}
+
+            <EmailPreviewModal
+                isOpen={emailModalItem !== null}
+                onClose={() => setEmailModalItem(null)}
+                initialRecipients={[]}
+                initialSubject={emailModalItem?.subject || "Meeting Summary"}
+                initialBody={emailModalItem?.summary || ""}
+                emailTemplates={emailTemplates}
+                smtpConfig={smtpConfig ? { ...smtpConfig, port: Number(smtpConfig.port) } : null}
+                addToast={addToast}
+            />
         </div>
     );
 }

src/components/Import.tsx

@@ -0,0 +1,411 @@
+import React, { useState } from 'react';
+import { Upload, FileAudio, X, Check, Loader2 } from 'lucide-react';
+import { invoke } from "@tauri-apps/api/core";
+import { open } from '@tauri-apps/plugin-dialog';
+import logo from '../assets/logo.png';
+
+interface PromptTemplate {
+    id: string;
+    name: string;
+    content: string;
+    keywords?: string[];
+}
+
+interface ImportProps {
+    apiKey: string;
+    productId: string;
+    prompts: PromptTemplate[];
+    selectedModel: string;
+    onSaveToHistory: (transcription: string, summary: string) => void;
+    onComplete: () => void; // Navigate to Transcription view
+    addToast: (msg: string, type: 'success' | 'error' | 'info', duration?: number) => void;
+    setTranscription: (text: string) => void;
+    setSummary: (text: string) => void;
+}
+
+interface AudioMetadata {
+    duration: number;
+    size: number;
+    format: string;
+}
+
+type ProcessingStage = 'idle' | 'validating' | 'transcribing' | 'summarizing' | 'complete';
+
+const SUPPORTED_FORMATS = ['mp3', 'mp4', 'm4a', 'wav', 'flac', 'ogg', 'aac', 'wma'];
+
+const Import: React.FC<ImportProps> = ({
+    apiKey,
+    productId,
+    prompts,
+    selectedModel,
+    onSaveToHistory,
+    onComplete,
+    addToast,
+    setTranscription,
+    setSummary
+}) => {
+    const [selectedFile, setSelectedFile] = useState<string | null>(null);
+    const [metadata, setMetadata] = useState<AudioMetadata | null>(null);
+    const [meetingTitle, setMeetingTitle] = useState('');
+    const [stage, setStage] = useState<ProcessingStage>('idle');
+    const [selectedPromptId, setSelectedPromptId] = useState<string>('');
+
+    // Set default prompt
+    React.useEffect(() => {
+        if (prompts.length > 0 && !selectedPromptId) {
+            setSelectedPromptId(prompts[0].id);
+        }
+    }, [prompts, selectedPromptId]);
+
+    const validateFile = (filePath: string): boolean => {
+        const extension = filePath.split('.').pop()?.toLowerCase();
+        if (!extension || !SUPPORTED_FORMATS.includes(extension)) {
+            addToast(`Unsupported format. Supported: ${SUPPORTED_FORMATS.join(', ').toUpperCase()}`, 'error', 5000);
+            return false;
+        }
+        return true;
+    };
+
+    const extractFilename = (path: string): string => {
+        const parts = path.split(/[/\\]/);
+        const filename = parts[parts.length - 1];
+        return filename.replace(/\.[^/.]+$/, ''); // Remove extension
+    };
+
+    const formatDuration = (seconds: number): string => {
+        const mins = Math.floor(seconds / 60);
+        const secs = Math.floor(seconds % 60);
+        return `${mins}:${secs.toString().padStart(2, '0')}`;
+    };
+
+    const formatSize = (bytes: number): string => {
+        if (bytes < 1024 * 1024) {
+            return `${(bytes / 1024).toFixed(1)} KB`;
+        }
+        return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
+    };
+
+    const handleFileSelect = async (filePath: string) => {
+        if (!validateFile(filePath)) return;
+
+        setStage('validating');
+        setSelectedFile(filePath);
+        setMeetingTitle(extractFilename(filePath));
+
+        try {
+            const meta = await invoke<AudioMetadata>('get_audio_metadata', { filePath });
+            setMetadata(meta);
+            setStage('idle');
+            addToast('File loaded successfully', 'success', 2000);
+        } catch (e) {
+            console.error('Metadata error:', e);
+            setMetadata(null);
+            setStage('idle');
+        }
+    };
+
+    const handleManualSelect = async () => {
+        try {
+            const selected = await open({
+                multiple: false,
+                filters: [{
+                    name: 'Audio/Video',
+                    extensions: SUPPORTED_FORMATS
+                }]
+            });
+
+            if (selected && typeof selected === 'string') {
+                handleFileSelect(selected);
+            }
+        } catch (e) {
+            console.error('File picker error:', e);
+            addToast('Failed to open file picker', 'error');
+        }
+    };
+
+    const handleProcess = async () => {
+        if (!selectedFile) return;
+        if (!apiKey || !productId) {
+            addToast('Please configure API key in Settings', 'error');
+            return;
+        }
+
+        try {
+            // Check file extension
+            const isWav = selectedFile.toLowerCase().endsWith('.wav');
+            let processFile = selectedFile;
+
+            // Convert WAV to MP3 if needed
+            if (isWav) {
+                setStage('validating');
+                addToast('Converting WAV to MP3...', 'info', 2000);
+                processFile = await invoke<string>('convert_to_mp3', { wavPath: selectedFile });
+            }
+
+            // Get file size to check if chunking needed
+            const metadata = await invoke<AudioMetadata>('get_audio_metadata', { filePath: processFile });
+            const sizeMB = metadata.size / (1024 * 1024);
+
+            let transText = '';
+
+            // Check if chunking needed for large files
+            if (sizeMB >= 18) {
+                // CHUNKING PATH for large files
+                setStage('validating');
+                addToast(`Large file (${sizeMB.toFixed(1)}MB). Splitting into chunks...`, 'info', 4000);
+
+                const chunks = await invoke<string[]>('chunk_audio', {
+                    filePath: processFile,
+                    chunkMinutes: 10
+                });
+
+                addToast(`Processing ${chunks.length} chunks...`, 'info', 4000);
+
+                let allTranscriptions: string[] = [];
+
+                for (let i = 0; i < chunks.length; i++) {
+                    setStage('transcribing');
+                    addToast(`Transcribing chunk ${i + 1}/${chunks.length}...`, 'info', 2000);
+                    const chunkText = await invoke<string>('transcribe_audio', {
+                        filePath: chunks[i],
+                        apiKey,
+                        productId
+                    });
+                    allTranscriptions.push(chunkText);
+                }
+
+                // Merge transcriptions
+                transText = allTranscriptions.join('\n\n--- Next Segment ---\n\n');
+                addToast('All chunks transcribed successfully!', 'success', 3000);
+            } else {
+                // NORMAL PATH for small files
+                setStage('transcribing');
+                transText = await invoke<string>('transcribe_audio', {
+                    filePath: processFile,
+                    apiKey,
+                    productId
+                });
+            }
+
+            setTranscription(transText);
+
+            if (!transText || transText.trim().length === 0) {
+                addToast('No speech detected in file', 'error');
+                setStage('idle');
+                return;
+            }
+
+            // Smart prompt selection (copied from Recorder.tsx)
+            let activePrompt = prompts.find(p => p.id === selectedPromptId);
+            const lowerText = transText.toLowerCase();
+            let bestMatchId = selectedPromptId;
+            let maxMatches = 0;
+
+            for (const p of prompts) {
+                if (!p.keywords) continue;
+                let matches = 0;
+                for (const kw of p.keywords) {
+                    if (lowerText.includes(kw.toLowerCase())) {
+                        matches++;
+                    }
+                }
+                if (matches > maxMatches) {
+                    maxMatches = matches;
+                    bestMatchId = p.id;
+                }
+            }
+
+            if (bestMatchId !== selectedPromptId) {
+                const newPrompt = prompts.find(p => p.id === bestMatchId);
+                if (newPrompt) {
+                    addToast(`Smart Select: Switched to "${newPrompt.name}"`, 'info', 3000);
+                    activePrompt = newPrompt;
+                }
+            }
+
+            const promptContent = activePrompt ? activePrompt.content : "Summarize this.";
+
+            setStage('summarizing');
+            const sumText = await invoke<string>('summarize_text', {
+                text: transText,
+                apiKey,
+                productId,
+                prompt: promptContent,
+                model: selectedModel
+            });
+            setSummary(sumText);
+
+            // Save to history
+            onSaveToHistory(transText, sumText);
+
+            setStage('complete');
+            addToast('Import complete!', 'success', 3000);
+
+            // Navigate to Transcription view
+            setTimeout(() => {
+                onComplete();
+            }, 1000);
+
+        } catch (e) {
+            console.error('Processing error:', e);
+            addToast(`Error: ${e}`, 'error');
+            setStage('idle');
+        }
+    };
+
+    const handleReset = () => {
+        setSelectedFile(null);
+        setMetadata(null);
+        setMeetingTitle('');
+        setStage('idle');
+    };
+
+    const getStageInfo = () => {
+        switch (stage) {
+            case 'validating': return { icon: Loader2, text: 'Validating file...', color: 'text-blue-500' };
+            case 'transcribing': return { icon: Loader2, text: 'Transcribing audio...', color: 'text-purple-500' };
+            case 'summarizing': return { icon: Loader2, text: 'Generating summary...', color: 'text-green-500' };
+            case 'complete': return { icon: Check, text: 'Complete!', color: 'text-green-500' };
+            default: return null;
+        }
+    };
+
+    const stageInfo = getStageInfo();
+    const isProcessing = stage !== 'idle' && stage !== 'complete';
+
+    return (
+        <div className="flex flex-col w-full h-full bg-background relative">
+            {/* Header */}
+            <div className="w-full flex justify-center items-center p-4 shrink-0">
+                <img src={localStorage.getItem('customLogo') || logo} alt="Logo" className="h-10 object-contain" />
+            </div>
+
+            {/* Main Content */}
+            <div className="flex-1 overflow-y-auto px-6 pb-6 flex flex-col items-center">
+                <h1 className="text-xl font-bold mb-2 text-foreground">Import Audio File</h1>
+                <p className="text-muted-foreground mb-6 text-center text-sm">
+                    Select an audio file for transcription and summarization
+                </p>
+
+                {/* File Selection Zone */}
+                <div
+                    className={`w-full max-w-md border-2 border-dashed rounded-lg p-8 mb-6 transition-all ${selectedFile
+                        ? 'border-green-500 bg-green-500/5'
+                        : 'border-border bg-secondary/30'
+                        }`}
+                >
+                    <div className="flex flex-col items-center justify-center gap-4">
+                        {selectedFile ? (
+                            <>
+                                <FileAudio size={48} className="text-green-500" />
+                                <div className="text-center">
+                                    <p className="font-semibold text-foreground">{meetingTitle}</p>
+                                    {metadata && (
+                                        <p className="text-xs text-muted-foreground mt-1">
+                                            {formatDuration(metadata.duration)} • {formatSize(metadata.size)} • {metadata.format.toUpperCase()}
+                                        </p>
+                                    )}
+                                </div>
+                                <button
+                                    onClick={handleReset}
+                                    className="text-xs text-muted-foreground hover:text-foreground flex items-center gap-1"
+                                >
+                                    <X size={14} /> Change file
+                                </button>
+                            </>
+                        ) : (
+                            <>
+                                <Upload size={48} className="text-muted-foreground" />
+                                <div className="text-center">
+                                    <p className="font-semibold text-foreground">Select Audio File</p>
+                                    <p className="text-xs text-muted-foreground mt-1">
+                                        Click below to browse your files
+                                    </p>
+                                </div>
+                                <button
+                                    onClick={handleManualSelect}
+                                    disabled={isProcessing}
+                                    className="px-6 py-3 bg-primary text-primary-foreground rounded-lg hover:bg-primary/90 disabled:opacity-50 text-base font-semibold transition-all shadow-md hover:shadow-lg"
+                                >
+                                    Browse Files
+                                </button>
+                                <p className="text-xs text-muted-foreground">
+                                    Supported: MP3, MP4, WAV, M4A, FLAC, OGG, AAC, WMA
+                                </p>
+                            </>
+                        )}
+                    </div>
+                </div>
+
+                {/* Configuration Section */}
+                {selectedFile && (
+                    <div className="w-full max-w-md space-y-4">
+                        {/* Meeting Title */}
+                        <div>
+                            <label className="text-xs font-semibold text-muted-foreground uppercase tracking-wider block mb-1">
+                                Meeting Title
+                            </label>
+                            <input
+                                type="text"
+                                value={meetingTitle}
+                                onChange={(e) => setMeetingTitle(e.target.value)}
+                                disabled={isProcessing}
+                                className="w-full p-2 text-sm bg-secondary rounded border border-border outline-none focus:ring-2 focus:ring-primary disabled:opacity-50"
+                                placeholder="Enter meeting title..."
+                            />
+                        </div>
+
+                        {/* AI Template */}
+                        <div>
+                            <label className="text-xs font-semibold text-muted-foreground uppercase tracking-wider block mb-1">
+                                AI Template
+                            </label>
+                            <select
+                                value={selectedPromptId}
+                                onChange={(e) => setSelectedPromptId(e.target.value)}
+                                disabled={isProcessing || prompts.length === 0}
+                                className="w-full p-2 text-sm bg-secondary rounded border border-border outline-none focus:ring-2 focus:ring-primary disabled:opacity-50"
+                            >
+                                {prompts.map(p => (
+                                    <option key={p.id} value={p.id}>{p.name}</option>
+                                ))}
+                                {prompts.length === 0 && <option value="">No templates</option>}
+                            </select>
+                        </div>
+
+                        {/* Process Button */}
+                        <button
+                            onClick={handleProcess}
+                            disabled={!selectedFile || isProcessing || !apiKey}
+                            className="w-full py-3 text-base font-semibold bg-primary text-primary-foreground rounded-lg hover:bg-primary/90 disabled:opacity-50 disabled:cursor-not-allowed transition-all shadow-md hover:shadow-lg flex items-center justify-center gap-2"
+                        >
+                            {isProcessing ? (
+                                <>
+                                    <Loader2 size={20} className="animate-spin" />
+                                    Processing...
+                                </>
+                            ) : (
+                                <>
+                                    <Upload size={20} />
+                                    Transcribe & Summarize
+                                </>
+                            )}
+                        </button>
+
+                        {/* Progress Indicator */}
+                        {stageInfo && (
+                            <div className="flex items-center justify-center gap-2 p-3 bg-secondary/50 rounded-lg border border-border">
+                                <stageInfo.icon size={16} className={`${stageInfo.color} ${stage !== 'complete' ? 'animate-spin' : ''}`} />
+                                <span className={`text-sm font-medium ${stageInfo.color}`}>
+                                    {stageInfo.text}
+                                </span>
+                            </div>
+                        )}
+                    </div>
+                )}
+            </div>
+        </div>
+    );
+};
+
+export default Import;

src/components/Recorder.tsx

@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from 'react';
+import React, { useState, useEffect, useRef } from 'react';
 import { Mic, Square, Users, Headphones } from 'lucide-react';
 import { invoke } from "@tauri-apps/api/core";
 import { listen } from '@tauri-apps/api/event';
@@ -42,6 +42,7 @@ interface RecorderProps {
     addToast: (msg: string, type: 'success' | 'error' | 'info', duration?: number) => void;
     selectedModel: string;
     onModelChange: (model: string) => void;
+    isVisible: boolean;
 }
 
 interface AudioDevice {
@@ -58,6 +59,10 @@ const Recorder: React.FC<RecorderProps> = ({
     const [isRecording, setIsRecording] = useState(false);
     const [isStopping, setIsStopping] = useState(false); // New lock state
     const [isPaused, setIsPaused] = useState(false);
+    const [isWaiting, setIsWaiting] = useState(false); // New state for Auto-Start
+    const [autoStartEnabled, setAutoStartEnabled] = useState(false); // Toggle state
+
+
     const [status, setStatus] = useState<string>('Ready to record');
     const [selectedDevice, setSelectedDevice] = useState<string>('');
     const [selectedPromptId, setSelectedPromptId] = useState<string>('');
@@ -149,19 +154,33 @@ const Recorder: React.FC<RecorderProps> = ({
 
     const startRecording = async (deviceIdOverride?: string) => {
         try {
-            setStatus('Starting...');
             setStatus('Starting...');
             // Check override or state
             const targetDeviceId = deviceIdOverride || selectedDevice;
 
             // Pass customFilename (camelCase key maps to snake_case in Rust automatically or we need to check Tauri mapping, usually it maps camel to camel? Rust expects snake. Let's use snake_case in invoke args to be safe)
-            await invoke('start_recording', { deviceId: targetDeviceId, savePath: savePath || null, customFilename: props.recordingSubject || null });
+            await invoke('start_recording', {
+                deviceId: targetDeviceId,
+                savePath: savePath || null,
+                customFilename: props.recordingSubject || null,
+                waitForSpeech: autoStartEnabled // Pass the toggle state
+            });
+
             setIsRecording(true);
             setIsPaused(false);
             setTranscription('');
             setSummary('');
+
+            if (autoStartEnabled) {
+                setIsWaiting(true);
+                setStatus('Waiting for audio...');
+                addToast('Standing by for audio...', 'info', 3000);
+            } else {
+                setIsWaiting(false);
                 setStatus('Recording...');
                 addToast('Recording started', 'success', 2000);
+            }
+
         } catch (e) {
             console.error(e);
             setStatus(`Error: ${e}`);
@@ -170,43 +189,91 @@ const Recorder: React.FC<RecorderProps> = ({
         }
     };
 
-    // VAD & Auto-Stop Logic
-    useEffect(() => {
-        let unlisten: () => void;
+    // Refs for interval access to avoid dependency cycles
+    const lastSpeechTimeRef = useRef<number>(Date.now());
+    const isStoppingRef = useRef(false);
 
-        const setupListener = async () => {
-            unlisten = await listen<{ is_speech: boolean, probability: number }>('vad-event', (event) => {
+    // Update refs when state changes
+    useEffect(() => {
+        lastSpeechTimeRef.current = lastSpeechTime;
+    }, [lastSpeechTime]);
+
+    useEffect(() => {
+        isStoppingRef.current = isStopping;
+    }, [isStopping]);
+
+    // 1. Event Listeners Effect (Run ONCE when recording starts)
+    useEffect(() => {
+        let unlistenVAD: () => void;
+        let unlistenTrigger: () => void;
+
+        const setupListeners = async () => {
+            if (!isRecording) return;
+
+            console.log("Setting up VAD listeners...");
+            // VAD Event Listener
+            unlistenVAD = await listen<{ is_speech: boolean, probability: number }>('vad-event', (event) => {
                 if (event.payload.is_speech) {
                     setLastSpeechTime(Date.now());
+                    lastSpeechTimeRef.current = Date.now(); // Update ref immediately
                     setSilenceDuration(0);
                 }
             });
+
+            // Auto-Start Trigger Listener
+            unlistenTrigger = await listen('auto-recording-triggered', () => {
+                console.log("Auto-Start Triggered from Backend!");
+                // Only trigger if we are actually waiting
+                setIsWaiting((prev) => {
+                    if (prev) {
+                        addToast("Audio detected! Recording started.", 'success', 4000);
+                        return false;
+                    }
+                    return prev;
+                });
+                setStatus('Recording (Auto-Started)...');
+                setLastSpeechTime(Date.now());
+            });
         };
 
-        if (isRecording && !isPaused) {
-            setupListener();
-            setLastSpeechTime(Date.now()); // Reset on start
+        if (isRecording) {
+            setupListeners();
         }
 
+        return () => {
+            // Cleanup listeners
+            if (unlistenVAD) unlistenVAD();
+            if (unlistenTrigger) unlistenTrigger();
+        };
+    }, [isRecording, addToast]); // Dependencies for listener setup
+
+    // Ref for visibility to avoid closure staleness in interval
+    const isVisibleRef = useRef(props.isVisible);
+    useEffect(() => {
+        isVisibleRef.current = props.isVisible;
+    }, [props.isVisible]);
+
+    // Auto-Stop Interval Effect
+    useEffect(() => {
+        if (!isRecording || isPaused || isWaiting) return;
+
         const interval = setInterval(() => {
-            if (isRecording && !isPaused) {
-                const diff = (Date.now() - lastSpeechTime) / 1000;
-                setSilenceDuration(diff);
+            const now = Date.now();
+            const timeSinceSpeech = (now - lastSpeechTimeRef.current) / 1000;
+            setSilenceDuration(timeSinceSpeech);
 
-                // Auto-stop after 30 seconds of silence
-                if (diff > 30 && !isStopping) { // Check lock
-                    console.log("Auto-stopping due to silence");
-                    addToast("Auto-stopping (Silence detected)", "info", 3000);
+            // AUTO STOP Logic
+            // Use Ref to get LATEST visibility instantly
+            if (isVisibleRef.current && timeSinceSpeech > 20 && !isStoppingRef.current) {
+                console.log("Auto-stopping due to silence...");
+                isStoppingRef.current = true;
+                addToast('Auto-stopped due to silence', 'info');
                 stopRecording();
             }
-            }
         }, 1000);
 
-        return () => {
-            if (unlisten) unlisten();
-            clearInterval(interval);
-        };
-    }, [isRecording, isPaused, lastSpeechTime]);
+        return () => clearInterval(interval);
+    }, [isRecording, isPaused, isWaiting, recordingMode, addToast]); // Removed props.isVisible dependency (using Ref)
 
     // Handle Auto Start Prop
     useEffect(() => {
@@ -273,18 +340,66 @@ const Recorder: React.FC<RecorderProps> = ({
         try {
             setIsRecording(false);
             setIsPaused(false);
-            setStatus('Processing...');
+            setIsWaiting(false); // Reset waiting state
+            setStatus('Saving recording...');
             const filePath = await invoke<string>('stop_recording');
 
             // Wait a moment for file flush (safety)
             await new Promise(r => setTimeout(r, 500));
 
-            setStatus('Transcribing (Infomaniak Whisper)...');
-            const transText = await invoke<string>('transcribe_audio', {
-                filePath,
+            // Confirm recording saved
+            addToast(`Recording saved locally: ${filePath.split('/').pop()}`, 'success', 3000);
+            setStatus('Converting to MP3...');
+
+            // Small delay to show the "saved" message
+            await new Promise(r => setTimeout(r, 500));
+
+            // Convert WAV to MP3 for smaller size
+            const mp3Path = await invoke<string>('convert_to_mp3', { wavPath: filePath });
+
+            // Get file size to check if chunking needed
+            interface AudioMetadata { duration: number; size: number; format: string; }
+            const metadata = await invoke<AudioMetadata>('get_audio_metadata', { filePath: mp3Path });
+            const sizeMB = metadata.size / (1024 * 1024);
+
+            let transText = '';
+
+            // Check if chunking needed (only for Meeting mode and large files)
+            if (recordingMode === 'meeting' && sizeMB >= 18) {
+                // CHUNKING PATH for large meetings
+                setStatus(`Large file (${sizeMB.toFixed(1)}MB). Splitting into chunks...`);
+                const chunks = await invoke<string[]>('chunk_audio', {
+                    filePath: mp3Path,
+                    chunkMinutes: 10
+                });
+
+                addToast(`Processing ${chunks.length} chunks...`, 'info', 4000);
+
+                let allTranscriptions: string[] = [];
+
+                for (let i = 0; i < chunks.length; i++) {
+                    setStatus(`Transcribing chunk ${i + 1}/${chunks.length}...`);
+                    const chunkText = await invoke<string>('transcribe_audio', {
+                        filePath: chunks[i],
                         apiKey,
                         productId
                     });
+                    allTranscriptions.push(chunkText);
+                }
+
+                // Merge transcriptions
+                transText = allTranscriptions.join('\n\n--- Next Segment ---\n\n');
+                addToast('All chunks transcribed successfully!', 'success', 3000);
+            } else {
+                // NORMAL PATH for small files
+                setStatus('Transcribing (Infomaniak Whisper)...');
+                transText = await invoke<string>('transcribe_audio', {
+                    filePath: mp3Path,
+                    apiKey,
+                    productId
+                });
+            }
+
             setTranscription(transText);
 
             // Check if transcription is empty or just whitespace
@@ -357,19 +472,21 @@ const Recorder: React.FC<RecorderProps> = ({
         }
     };
 
+
+
     return (
         <div className="flex flex-col w-full h-full bg-background relative">
             {/* Fixed Header - Reduced padding */}
             <div className="w-full flex justify-center items-center p-4 shrink-0">
-                <img src={logo} alt="Logo" className="h-10 object-contain" />
+                <img src={localStorage.getItem('customLogo') || logo} alt="Logo" className="h-10 object-contain" />
             </div>
 
             {/* Scrollable Content - Reduced spacing */}
             <div className="flex-1 overflow-y-auto px-6 pb-6 flex flex-col items-center">
                 <div className="mb-4 relative shrink-0">
-                    <div className={`w-24 h-24 rounded-full flex items-center justify-center transition-all duration-300 ${isRecording ? (isPaused ? 'bg-yellow-500/10' : 'bg-red-500/10 animate-pulse') : 'bg-secondary'}`}>
+                    <div className={`w-24 h-24 rounded-full flex items-center justify-center transition-all duration-300 ${isRecording ? (isWaiting ? 'bg-blue-500/20' : isPaused ? 'bg-yellow-500/10' : 'bg-red-500/10 animate-pulse') : 'bg-secondary'}`}>
                         {isRecording ? (
-                            <div className={`w-16 h-16 rounded-full flex items-center justify-center shadow-[0_0_20px_rgba(239,68,68,0.5)] ${isPaused ? 'bg-yellow-500' : 'bg-red-500'}`}>
+                            <div className={`w-16 h-16 rounded-full flex items-center justify-center shadow-[0_0_20px_rgba(239,68,68,0.5)] ${isWaiting ? 'bg-blue-500 animate-pulse' : isPaused ? 'bg-yellow-500' : 'bg-red-500'}`}>
                                 <Mic size={32} className="text-white animate-bounce" />
                             </div>
                         ) : (
@@ -381,12 +498,12 @@ const Recorder: React.FC<RecorderProps> = ({
                 </div>
 
                 <h1 className="text-xl font-bold mb-1 text-foreground">
-                    {isRecording ? (isPaused ? 'Paused' : 'Listening...') : 'Ready to Record'}
+                    {isRecording ? (isWaiting ? 'Waiting for Audio...' : isPaused ? 'Paused' : 'Listening...') : 'Ready to Record'}
                 </h1>
 
                 <p className="text-muted-foreground mb-4 text-center text-xs h-5">
                     {status}
-                    {isRecording && !isPaused && silenceDuration > 10 && (
+                    {isRecording && !isPaused && !isWaiting && silenceDuration > 10 && (
                         <span className="block text-xs text-yellow-500 mt-0.5 opacity-80">
                             Silence detected: {Math.floor(silenceDuration)}s
                         </span>
@@ -395,15 +512,30 @@ const Recorder: React.FC<RecorderProps> = ({
 
                 <div className="w-full max-w-sm space-y-3 mb-4 shrink-0">
                     {!isRecording ? (
+                        <>
                             <button
                                 onClick={() => startRecording()}
                                 disabled={!apiKey || !productId}
                                 className="w-full py-3 text-base font-semibold bg-primary text-primary-foreground rounded-lg hover:bg-primary/90 disabled:opacity-50 disabled:cursor-not-allowed transition-all shadow-md hover:shadow-lg"
                             >
-                            {!apiKey ? 'Configure API Key First' : 'Start Recording'}
+                                {!apiKey ? 'Configure API Key First' : (autoStartEnabled ? 'Standby (Auto-Start)' : 'Start Recording')}
                             </button>
+                            <div className="flex items-center justify-center gap-2 mt-2">
+                                <label className="flex items-center gap-2 cursor-pointer select-none">
+                                    <input
+                                        type="checkbox"
+                                        checked={autoStartEnabled}
+                                        onChange={(e) => setAutoStartEnabled(e.target.checked)}
+                                        className="w-4 h-4 accent-primary rounded cursor-pointer"
+                                    />
+                                    <span className="text-xs text-muted-foreground font-medium">Auto-start when audio detected</span>
+                                </label>
+                            </div>
+                        </>
                     ) : (
                         <div className="flex gap-2 w-full">
+                            {/* In Waiting mode, we can only Stop (Cancel) */}
+                            {!isWaiting && (
                                 <button
                                     onClick={togglePause}
                                     className={`flex-1 py-4 text-lg font-semibold rounded-lg transition-all shadow-md hover:shadow-lg flex items-center justify-center gap-2 ${isPaused
@@ -413,12 +545,13 @@ const Recorder: React.FC<RecorderProps> = ({
                                 >
                                     {isPaused ? 'Resume' : 'Pause'}
                                 </button>
+                            )}
                             <button
                                 onClick={stopRecording}
                                 className="flex-1 py-4 text-lg font-semibold bg-destructive text-destructive-foreground rounded-lg hover:bg-destructive/90 transition-all shadow-md hover:shadow-lg flex items-center justify-center gap-2"
                             >
                                 <Square size={20} fill="currentColor" />
-                                Stop
+                                {isWaiting ? 'Cancel' : 'Stop'}
                             </button>
                         </div>
                     )}

src/components/Settings.tsx

@@ -5,6 +5,7 @@ import { save, open } from '@tauri-apps/plugin-dialog';
 import { invoke } from '@tauri-apps/api/core';
 import { encryptData, decryptData } from '../utils/backup';
 import EmailTemplateEditor from './EmailTemplateEditor';
+import logo from '../assets/logo.png';
 
 import { PromptTemplate, EmailTemplate } from '../App';
 
@@ -382,6 +383,61 @@ const Settings: React.FC<SettingsProps> = ({ apiKey, productId, prompts, savePat
                             </div>
                         </div>
 
+                        <div className="space-y-4">
+                            <h3 className="text-foreground font-semibold border-b border-border pb-2">📸 Branding</h3>
+                            <div className="p-4 bg-secondary/20 rounded border border-border/50">
+                                <div className="mb-3">
+                                    <div className="font-medium text-sm mb-2">Custom Logo</div>
+                                    <div className="text-xs text-muted-foreground mb-3">Upload your company logo to replace the default Livtec branding throughout the app.</div>
+                                </div>
+
+                                {/* Logo Preview */}
+                                <div className="flex items-center gap-4 mb-3">
+                                    <div className="w-20 h-20 bg-background border border-border rounded flex items-center justify-center overflow-hidden">
+                                        <img
+                                            src={localStorage.getItem('customLogo') || logo}
+                                            alt="Logo Preview"
+                                            className="max-w-full max-h-full object-contain"
+                                        />
+                                    </div>
+                                    <div className="flex-1">
+                                        <button
+                                            onClick={async () => {
+                                                try {
+                                                    const selected = await open({
+                                                        filters: [{ name: 'Images', extensions: ['png', 'jpg', 'jpeg', 'svg'] }]
+                                                    });
+                                                    if (selected && typeof selected === 'string') {
+                                                        const dataUrl = await invoke<string>('read_image_as_base64', { filePath: selected });
+                                                        localStorage.setItem('customLogo', dataUrl);
+                                                        setStatusIdx('Logo uploaded! Save settings to apply.');
+                                                        // Force re-render
+                                                        window.dispatchEvent(new Event('storage'));
+                                                    }
+                                                } catch (e) {
+                                                    setStatusIdx(`Logo upload failed: ${e}`);
+                                                }
+                                            }}
+                                            className="bg-secondary hover:bg-secondary/80 text-xs px-3 py-2 rounded border border-border transition-all flex items-center gap-2"
+                                        >
+                                            <Upload size={14} /> Upload Logo
+                                        </button>
+                                        <button
+                                            onClick={() => {
+                                                localStorage.removeItem('customLogo');
+                                                setStatusIdx('Logo reset to default. Save to apply.');
+                                                window.dispatchEvent(new Event('storage'));
+                                            }}
+                                            className="mt-2 bg-secondary hover:bg-secondary/80 text-xs px-3 py-2 rounded border border-border transition-all text-muted-foreground"
+                                        >
+                                            Reset to Default
+                                        </button>
+                                    </div>
+                                </div>
+                                <p className="text-[10px] text-muted-foreground">Supported: PNG, JPG, SVG. Recommended: Square format, transparent background.</p>
+                            </div>
+                        </div>
+
                         <div className="space-y-4">
                             <h3 className="text-foreground font-semibold border-b border-border pb-2">System Intergration</h3>
                             <div className="flex items-center justify-between p-4 bg-secondary/20 rounded border border-border/50">

src/components/Tabs.tsx

@@ -1,9 +1,9 @@
 import React from 'react';
-import { Mic, FileText, Calendar } from 'lucide-react';
+import { Mic, FileText, Calendar, Upload } from 'lucide-react';
 
 interface TabsProps {
-    currentTab: 'recorder' | 'transcription' | 'settings' | 'meetings' | 'history';
-    onTabChange: (tab: 'recorder' | 'transcription' | 'settings' | 'meetings' | 'history') => void;
+    currentTab: 'recorder' | 'transcription' | 'settings' | 'meetings' | 'history' | 'import';
+    onTabChange: (tab: 'recorder' | 'transcription' | 'settings' | 'meetings' | 'history' | 'import') => void;
 }
 
 const Tabs: React.FC<TabsProps> = ({ currentTab, onTabChange }) => {
@@ -16,6 +16,13 @@ const Tabs: React.FC<TabsProps> = ({ currentTab, onTabChange }) => {
                 <Mic size={16} />
                 Recording
             </button>
+            <button
+                onClick={() => onTabChange('import')}
+                className={`flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors ${currentTab === 'import' ? 'bg-secondary text-foreground' : 'text-muted-foreground hover:text-foreground hover:bg-secondary/50'}`}
+            >
+                <Upload size={16} />
+                Import
+            </button>
             <button
                 onClick={() => onTabChange('transcription')}
                 className={`flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors ${currentTab === 'transcription' ? 'bg-secondary text-foreground' : 'text-muted-foreground hover:text-foreground hover:bg-secondary/50'}`}