FluxCapacitor2/whisper-asr-webapp

A web app for automatic speech recognition using OpenAI's Whisper model running locally.

28
/ 100
Experimental

This tool helps you convert spoken audio into written text, making your audio content searchable and editable. You input an audio file (like an interview, lecture, or meeting recording), and it outputs a complete, timestamped transcript in various formats such as plain text, SRT, or VTT. Anyone who needs to accurately transcribe audio, such as journalists, researchers, podcasters, or content creators, would find this useful.

No commits in the last 6 months.

Use this if you need to transcribe audio files quickly and accurately on your own computer without sending your data to a third-party cloud service.

Not ideal if you need live transcription, very high accuracy for highly technical or poor-quality audio, or don't have the technical comfort to run a Docker container.

audio-transcription content-creation research-analysis podcast-production meeting-minutes
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 15 / 25

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Stars

9

Forks

4

Language

Svelte

License

Last pushed

Oct 14, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/FluxCapacitor2/whisper-asr-webapp"

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