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ruzin/stenoai

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Privacy focused AI powered meeting intelligence using locally hosted Small Language Models. StenoAI Scribe for structured clinical notes in development.

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HTML·MIT License·Last commit Mar 25, 2026·by @ruzin·Published April 1, 2026
A

Safety Rating A

No hardcoded secrets, malicious code patterns, suspicious dependencies, or prompt injection attempts were detected. The repository is a straightforward Electron + Python desktop application that bundles Ollama and ffmpeg for local AI inference. All processing is described as on-device. The README contains no embedded instructions attempting to manipulate AI analysis. The project appears to be a legitimate open-source productivity tool.

AI-assisted review, not a professional security audit.

AI Analysis

StenoAI is a privacy-focused, AI-powered meeting intelligence desktop application for macOS that runs entirely on-device. It records, transcribes, summarizes, and enables natural language querying of meetings using local AI models (whisper.cpp for transcription, Ollama-served LLMs for summarization). It supports 99 languages, speaker diarisation, system audio capture, and macOS Shortcuts integration. A clinical note-taking variant (StenoAI Scribe/Med) targeting healthcare workflows is in development.

Use Cases

  • Automated meeting transcription and summarization for privacy-sensitive professionals (healthcare, legal, finance)
  • Generating structured clinical notes from medical consultations
  • Natural language querying of past meeting transcripts
  • Offline/local AI inference on Apple Silicon Macs with no data leaving the device
  • Calendar-triggered automatic recording of scheduled meetings

Tags

#voice#desktop-app#local-first#llm
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