Visit Website

<a href="https://www.producthunt.com/products/note67-private-meeting-notes-assistant?utm_source=badge-follow&utm_medium=badge&utm_souce=badge-note67" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=763215&theme=light" alt="Note67 - Private meeting notes assistant | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>

🚀 We're on Product Hunt! If you find Note67 useful, please consider upvoting us on Product Hunt — it helps others discover the project!

A private, local meeting notes assistant. Capture audio, transcribe locally with Whisper, and generate AI-powered summaries — all on your device.

What's New (v0.1.18)

• AI writing assistant sidebar — improve, summarize, expand, or rewrite notes with AI
• Quick actions: Summarize, Action Items, Improve, Expand, Fix Grammar, Bullets
• Chat interface for custom AI requests
• Insert or replace note content with AI-generated text
• Keyboard shortcut Cmd+J to toggle AI sidebar

v0.1.17

• Rich markdown editor with live preview (Notion-style)
• Local image storage — paste images directly into notes
• Images auto-cleanup when note is deleted
• Slash commands (/) for quick formatting
• LaTeX/math support in notes

Features

• [x] Meeting management (create, end, delete)
• [x] SQLite database for local storage
• [x] Audio recording (microphone)
• [x] Local transcription with Whisper
• [x] Speaker distinction (You vs Others) on macOS
• [x] Echo deduplication for speaker usage
• [x] Live transcription during recording
• [x] Auto-retranscribe after recording for improved accuracy
• [x] Pause/Resume recording
• [x] Continue recording on existing notes (Listen)
• [x] Upload external audio files for transcription
• [x] Download and delete audio files
• [x] Reorder audio files with up/down controls
• [x] Retranscribe audio with different Whisper model
• [x] Voice Activity Detection (VAD) for mic input
• [x] Automatic filtering of blank/noise segments
• [x] Transcript viewer with search and speaker filter
• [x] AI-powered summaries via Ollama
• [x] AI writing assistant sidebar (improve, summarize, expand notes)
• [x] Export to Markdown
• [x] Settings with Profile, Whisper, Ollama, System tabs
• [x] Dark mode support
• [x] Custom context menus
• [x] System tray support
• [x] Cross-platform system audio (Windows via WASAPI)
• [x] Rich markdown editor with live preview (Notion-style)
• [x] Local image storage with paste support
• [x] Slash commands for quick formatting
• [x] LaTeX/math support in notes
• [ ] Linux system audio support

Screenshots

| Light Mode | Dark Mode | Settings | |------------|-----------|----------| | | | |

AI Summary

Speaker Distinction

Note67 can distinguish between your voice and other meeting participants:

| Source | Speaker Label | How it works | |--------|---------------|--------------| | Microphone | "You" | Your voice via mic input | | System Audio | "Others" | Meeting participants via system audio capture |

macOS Requirements

• macOS 13.0 (Ventura) or later
• Screen Recording permission (System Settings → Privacy & Security → Screen Recording)
• Microphone permission

Windows Requirements

• Windows 10 or later
• Microphone permission
• No additional permissions needed for system audio (WASAPI loopback)

Echo Handling

When using speakers instead of headphones, your microphone picks up audio from your speakers, causing duplicate transcriptions. Note67 handles this with a multi-layer approach:

How it works:

1. Voice Activity Detection (VAD) - Mic audio is only transcribed if RMS energy exceeds threshold, filtering silence and ambient noise
2. Echo Deduplication - Mic transcripts are compared against a 30-second rolling history of system audio segments
3. Text Similarity Matching - If mic text shares 3+ words with overlapping system audio, it's filtered as echo

For best results:

• Headphones are still recommended for optimal quality
• Works automatically when system audio capture is enabled

Tech Stack

| Layer | Technology | |-------|------------| | Frontend | React 18 + TypeScript + Tailwind CSS v4 | | Backend | Rust (Tauri v2) | | State | Zustand | | Database | SQLite (rusqlite) | | Transcription | whisper-rs (local Whisper models) | | AI Summaries | Ollama (local LLMs) | | System Audio | ScreenCaptureKit (macOS), WASAPI loopback (Windows) | | Echo Handling | VAD + post-processing deduplication |

Prerequisites

• Node.js (v18+)
• Rust
• Ollama (for AI summaries)

# Install Rust
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Install Tauri CLI
cargo install tauri-cli

# Install Ollama and pull a model
brew install ollama
ollama pull llama3.2

Development

# Install dependencies
npm install

# Run dev server (opens app window)
npm run tauri dev

# Build for production
npm run tauri build

Scripts

| Command | Description | |---------|-------------| | npm run tauri dev | Run Tauri app in dev mode | | npm run tauri build | Build production app | | npm run lint | Run ESLint | | npm run format | Format code with Prettier |

Permissions

macOS

| Permission | Purpose | When prompted | |------------|---------|---------------| | Microphone | Record your voice | First recording | | Screen Recording | Capture system audio (others' voices) | When enabling speaker distinction |

Windows

| Permission | Purpose | When prompted | |------------|---------|---------------| | Microphone | Record your voice | First recording |

Note: Windows system audio capture via WASAPI loopback does not require additional permissions.

License

AGPL-3.0