Josh Knapp
d67625cd5a
- Implement AIProvider base interface with chat() and is_available() - Add LocalProvider connecting to bundled llama-server via OpenAI SDK - Add OpenAIProvider for direct OpenAI API access - Add AnthropicProvider for Anthropic Claude API - Add LiteLLMProvider for multi-provider gateway - Build AIProviderService with provider routing, auto-selection, and transcript context injection - Add ai.chat IPC handler supporting chat, list_providers, set_provider, and configure actions - Add ai_chat, ai_list_providers, ai_configure Tauri commands - Build interactive AIChatPanel with message history, quick actions (Summarize, Action Items), and transcript context awareness - Tests: 30 Python, 6 Rust, 0 Svelte errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Voice to Notes
A desktop application that transcribes audio/video recordings with speaker identification, producing editable transcriptions with synchronized audio playback.
Goals
- Speech-to-Text Transcription — Accurately convert spoken audio from recordings into text
- Speaker Identification (Diarization) — Detect and distinguish between different speakers in a conversation
- Speaker Naming — Assign and persist speaker names/IDs across the transcription
- Synchronized Playback — Click any transcribed text segment to play back the corresponding audio for review and correction
- Export Formats
- Closed captioning files (SRT, VTT) for video
- Plain text documents with speaker labels
- AI Integration — Connect to AI providers to ask questions about the conversation and generate condensed notes/summaries
Platform Support
| Platform | Status |
|---|---|
| Linux | Planned (initial target) |
| Windows | Planned (initial target) |
| macOS | Future (pending hardware) |
Project Status
Early planning phase — Architecture and technology decisions in progress.
License
MIT