DeepTalk

AI-powered conversation analysis and insight discovery platform with local processing and privacy-first design.

Features

• Audio/Video Support: MP3, WAV, MP4, AVI, MOV, M4A, WebM, OGG, and more
• Privacy-First: Transcription and speaker diarisation run entirely on your machine. AI analysis uses your choice of local Ollama or any of OpenAI / Anthropic / Groq / Gemini / OpenRouter / custom — your call.
• Local Whisper: Built-in English transcription via @huggingface/transformers. No external server required.
• Local Speaker Diarisation: pyannote-segmentation-3.0 + wespeaker for real audio-level "who said what". No LLM guessing from text.
• In-app Documentation: Rendered with the app's theme, ships with the binary, no internet required.
• Cross-Platform: macOS, Windows, Linux. FFmpeg bundled.

Installation

Download the latest release for your platform from the Releases page.

Development

Prerequisites

• Node.js 20+
• npm or yarn
• (Optional) Speaches service running on http://localhost:8000
• (Optional) Ollama service running on http://localhost:11434

Setup

# Clone the repository
git clone https://github.com/michael-borck/deep-talk.git
cd deep-talk

# Install dependencies
npm install

# Start development server
npm start

# Build for production
npm run dist

Release Process

GitHub Secrets Required

To enable automatic builds when you create a release tag, set up these GitHub secrets:

1. For macOS Code Signing (Optional):

   • MAC_CERTS: Base64 encoded .p12 certificate
   • MAC_CERTS_PASSWORD: Certificate password
   • APPLE_ID: Your Apple ID
   • APPLE_ID_PASS: App-specific password
   • APPLE_TEAM_ID: Your Apple Developer Team ID

2. Automatic (Already exists):

   • GITHUB_TOKEN: Automatically provided by GitHub Actions

Creating a Release

1. Update version in package.json
2. Commit changes: git commit -am "Bump version to v1.0.0"
3. Create tag: git tag v1.0.0
4. Push tag: git push origin v1.0.0
5. GitHub Actions will automatically build for all platforms
6. Edit the draft release on GitHub and publish

Build Outputs

• Windows: .exe installer
• macOS: .dmg installer and .pkg for Mac App Store
• Linux: .AppImage and .deb packages

Architecture

DeepTalk/
├── src/               # React TypeScript source
├── public/            # Electron main process
├── database/          # SQLite schema
└── ffmpeg-binaries/   # Platform-specific FFmpeg

Technologies

• Frontend: React + TypeScript
• Desktop: Electron
• Database: SQLite (better-sqlite3)
• Styling: Tailwind CSS
• Transcription: Speaches API
• AI Analysis: Ollama API
• Media Processing: FFmpeg (bundled)

License

MIT