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stenoAI icon

stenoAI

Enables private, on-device meeting recording, transcription in 99 languages, AI-driven summarization, and natural language queries, with secure virtual audio capture, speaker diarisation, in-app note-taking, editable Markdown output, and open-source transparency for confidential use.

stenoAI screenshot 1

Cost / License

  • Free
  • Open Source (MIT)

Application type

Platforms

  • Mac
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Features

Properties

  1.  Privacy focused
  2.  AI-Powered

Features

  1.  Ad-free
  2.  Support for MarkDown
  3.  No Tracking
  4.  Works Offline
  5.  No registration required
  6.  Dark Mode
  7.  Meeting notes
  8.  AI Summarization
  9.  Audio Recording
  10.  Local AI
  11.  Built-in Note Taker
  12.  Agentic AI

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AlternativeTo Categories

AI Tools & Services, Audio & Music, Office & Productivity

GitHub repository

  •  1,328 Stars
  •  181 Forks
  •  61 Open Issues
  •   Updated  
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What is stenoAI?

Steno is the AI powered intelligence layer for all your confidential conversations, your private data never leaves anywhere. Record, transcribe, summarize, and query your meetings using local AI models. Perfect for government, defence, legal and C-suite professionals with confidential data needs.

Features:

  • Privacy-first — 100% on-device; your recordings, transcripts, and summaries never leave your Mac
  • In-app note-taking — Jot notes while you record; they're folded straight into the AI summary
  • Ask your meetings — Natural-language Q&A across a single note or your entire library via the Chat tab (summary, key topics, full transcript)
  • System audio capture — Record both sides of virtual meetings, headphones on, no extra setup. Native Core Audio Tap on macOS 14.4+ with automatic fallback on older versions
  • Speaker diarisation — [You] vs [Others] labels on system-audio recordings
  • Multi-language — Auto-detect and transcribe in 99 languages
  • Markdown notes — Summaries and transcripts saved as clean Markdown you can edit, search, or sync
  • Remote Ollama server — Offload summarisation to a beefier Mac or workstation on your network
  • Bring your own cloud model — Optional OpenAI, Anthropic, or custom API endpoint for users who prefer a hosted LLM
  • Under the hood — Local transcription via whisper.cpp, summarisation via bundled Ollama (5 models to choose from)