namastexlabs/murmurai
🎙️ Drop-in replacement for paid transcription APIs. Self-hosted, GPU-powered, speaker diarization. Free forever: uvx murmurai
This project helps convert spoken audio into written text, even identifying who said what if there are multiple speakers. You input an audio file (like an interview or meeting recording) and receive a text transcript with precise timestamps for each word, ready for various uses like subtitles or analysis. It's designed for professionals who need to transcribe audio privately and efficiently without relying on external cloud services.
Available on PyPI.
Use this if you need a secure, self-hosted solution to transcribe audio recordings and identify different speakers, giving you full control over your data.
Not ideal if you don't have access to a computer with a powerful graphics card (GPU) or prefer a simple, cloud-based service without local setup.
Stars
39
Forks
16
Language
Python
License
MIT
Category
Last pushed
Dec 17, 2025
Commits (30d)
0
Dependencies
9
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