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Whishper: a complete transcription suite. (github.com)

submitted 1 year ago by [email protected] to c/[email protected]

6 comments fedilink hide all child comments

Hi everyone!

A few days ago I released Whishper, a new version of a project I've been working for about a year now.

It's a self-hosted audio transcription suite, you can transcribe audio to text, generate subtitles, translate subtitles and edit them all from one UI and 100% locally (it even works offline).

I hope you like it, check out the website for self-hosting instructions: https://whishper.net

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[–] [email protected] 1 points 1 year ago (1 children)

Does this need to connect to openai or does it function fully independently? Its for offline use.

[–] [email protected] 1 points 1 year ago

No, it's completely independent, it does not rely on any third-party APIs or anything else. It can function entirely offline once the models have been downloaded.

[–] [email protected] 1 points 1 year ago (1 children)

How does it compare to https://github.com/guillaumekln/faster-whisper?

I've been using Faster Whisper for a while locally, and its worked out better than raw whisper and benchmarks really well. Just curious if there are any reasons to switch.

[–] [email protected] 1 points 1 year ago

Whishper uses faster-whisper in the backend.

Simply put, it is a complete UI for Faster-Whisper with extra features like transcription translation, edition, download options, etc...

[–] [email protected] 0 points 1 year ago (1 children)

how does whisper do transcribing technical documents. like for lawyers, doctors, engineers and what not? or speakers with heavy accents?

[–] [email protected] 1 points 1 year ago

Whisper models have a very good WER (word error ratio) for languages like Spanish, English, French... if you use the english-only models it also improves. Check out this page on the docs:

https://whishper.net/reference/models/#languages-and-accuracy