SmartLittleApps/local-stt-mcp

A high-performance Model Context Protocol (MCP) server providing local speech-to-text transcription using whisper.cpp, optimized for Apple Silicon.

38
/ 100
Emerging

This tool transcribes audio recordings into text, identifying different speakers and converting various audio formats automatically. It takes audio files (like MP3, M4A, FLAC) and produces text outputs in formats like TXT, JSON, or SRT, all processed directly on your Apple Silicon device. It's ideal for anyone who needs to convert spoken words from meetings, interviews, or podcasts into written records, ensuring privacy and fast processing.

No commits in the last 6 months.

Use this if you need fast, private, and accurate transcription of audio files, especially if you use an Apple Silicon device and require speaker identification.

Not ideal if you prefer cloud-based transcription services, don't have an Apple Silicon device, or don't need speaker diarization features.

audio-transcription meeting-minutes interview-analysis podcast-to-text speech-to-text
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 16 / 25

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Stars

11

Forks

6

Language

TypeScript

License

MIT

Last pushed

Jun 03, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/SmartLittleApps/local-stt-mcp"

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