altunenes/parakeet-rs

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

58
/ 100
Established

This project offers powerful and fast tools for converting spoken audio into text, including identifying who spoke what. It takes audio recordings (like interviews, meetings, or voice notes) and outputs transcribed text, often with speaker labels and timestamps. This is ideal for professionals like researchers, journalists, or content creators who need to quickly process and analyze spoken content.

227 stars and 3,324 monthly downloads.

Use this if you need highly accurate and fast speech-to-text transcription, including separating speakers, even on standard computer hardware.

Not ideal if you prefer using a cloud-based service for transcription or if you need to transcribe very long, unsegmented audio files without breaking them into chunks.

audio-transcription meeting-minutes interview-analysis multimedia-processing podcast-production
No Package No Dependents
Maintenance 10 / 25
Adoption 18 / 25
Maturity 13 / 25
Community 17 / 25

How are scores calculated?

Stars

227

Forks

31

Language

Rust

License

MIT

Last pushed

Mar 08, 2026

Monthly downloads

3,324

Commits (30d)

0

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