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trnscrb

Speech Recognition

Local meeting transcription tool that lives in your macOS menu bar, auto-detects meetings, and transcribes with Whisper on-device.

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At a Glance

Pricing

Open Source

MIT licensed open source tool

Engagement

Available On

macOS
API

Resources

WebsiteDocsGitHubllms.txt

Topics

Speech RecognitionMCP ToolsLocal Inference

About trnscrb

trnscrb is a privacy-focused meeting transcription tool for macOS that runs entirely on your local machine. It sits in your menu bar, automatically detects when you're in a meeting, and transcribes audio using OpenAI's Whisper model running on Apple Silicon Metal—no cloud processing or internet connection required. Every transcript is saved as plain text and instantly searchable from Claude Desktop via MCP integration.

  • Auto-detection automatically recognizes when you're in a meeting by detecting mic activity combined with Google Meet, Zoom, Slack Huddle, Microsoft Teams, or FaceTime running on your system.

  • Local recording captures your microphone audio, or both mic and system audio using the BlackHole virtual driver to record all meeting participants.

  • On-device transcription uses the Whisper small model with Apple Silicon Metal acceleration for fast, private transcription without sending data to the cloud.

  • Claude Desktop integration provides MCP tools for controlling recordings and searching transcripts directly from Claude, enabling natural language queries about your meeting history.

  • Speaker diarization optionally labels different speakers (SPEAKER_00, SPEAKER_01) when connected to a free HuggingFace account.

  • Plain text storage saves all transcripts as .txt files in ~/meeting-notes/, ensuring you own your data with no proprietary formats or databases.

  • Transcript enrichment optionally sends transcript text to Claude API to generate summaries and action items via the trnscrb enrich command.

To get started, install via Homebrew with brew tap ajayrmk/tap && brew install trnscrb && trnscrb install. The install command handles BlackHole setup, HuggingFace token configuration, Whisper model download, Claude Desktop MCP config, and launch-at-login. Alternatively, install via pip or uv with pip install trnscrb && trnscrb install. The tool works on Intel Macs but Apple Silicon is recommended for Metal-accelerated transcription performance.

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Pricing

OPEN SOURCE

Open Source

MIT licensed open source tool

  • Auto-detects meetings
  • Local on-device transcription
  • Apple Silicon Metal acceleration
  • Menu bar application
  • Records mic and system audio
View official pricing

Capabilities

Key Features

  • Auto-detects meetings from Google Meet, Zoom, Slack, Teams, FaceTime
  • Local on-device transcription with Whisper
  • Apple Silicon Metal acceleration
  • Menu bar application
  • Records mic and system audio via BlackHole
  • Speaker diarization with HuggingFace
  • Claude Desktop MCP integration
  • Plain text transcript storage
  • Transcript search and retrieval
  • Calendar context integration
  • Transcript enrichment with summaries and action items
  • Launch at login
  • Fully offline operation

Integrations

Claude Desktop
Google Meet
Zoom
Slack Huddle
Microsoft Teams
FaceTime
BlackHole
HuggingFace
API Available
View Docs

Reviews & Ratings

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Developer

Ajay Ramakrishnan

Ajay Ramakrishnan develops trnscrb, a local meeting transcription tool for macOS. The project is open source under the MIT license and focuses on privacy-first audio transcription using on-device Whisper models.

Read more about Ajay Ramakrishnan
GitHub
1 tool in directory

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