https://github.com/bugbakery/transcribee
open source audio and video transcription software
https://github.com/bugbakery/transcribee
collaborative speech-to-text transcription
Last synced: 11 months ago
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open source audio and video transcription software
- Host: GitHub
- URL: https://github.com/bugbakery/transcribee
- Owner: bugbakery
- License: agpl-3.0
- Created: 2023-03-02T13:23:42.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-29T14:15:37.000Z (about 1 year ago)
- Last Synced: 2025-04-19T04:42:48.874Z (12 months ago)
- Topics: collaborative, speech-to-text, transcription
- Language: TypeScript
- Homepage: https://transcribee.net
- Size: 5.25 MB
- Stars: 392
- Watchers: 16
- Forks: 27
- Open Issues: 99
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
#
🎤 transcribee ✍️
> **
[going to be] an open source audio- and videotranscription software**
> **Note**:
>
> Currently, transcribee is heavily work-in-progress and not yet ready for production use. Please come back in a few weeks / months.
`transcribee 🐝` aims to make the workflow for media transcription easier, faster and more accessible.
- It can **automatically generate a draft transcript** of your audio
- It allows you to **quickly improve** the automatic draft and fix any errors
- It's **collaborative** – split the work with your friends or colleagues
- It's **open-source**
## Develop!
To get started with developing or to try the current state of transcribee, follow the instructions
in the [development setup document](doc/development_setup.md).
## How does it work?
> **Note**:
>
> We're heavily working on transcribee. Not all steps described here are already implemented.
Creating a transcript with transcribee 🐝 is done with the following steps:
1. Import your media file
During import, your audio file is automatically converted to text using state-of-the-art models[^models].
transcribee 🐝 also automatically detects different speakers in your file.
2. Manually improve the transcript
After the automatic transcript is created, you can edit it to correct any mistakes the automatic transcription made.[^editor]
You can also name the speakers.
Since transcribee 🐝 is a collaborative software, you can do this step (and all other manual steps) together with others.
All changes are instantly synced with everyone working on the transcript.
3. Automatic re-alignment
To make sure that the timestamps of your corrected text are still correct, transcribee 🐝 matches this text back up with the audio.
4. Manual re-alignment
Now you can check the automatically generated timestamps and correct them.
5. Export
Once you are happy with the transcript, you can export it.
[^models]: At the moment we use whisper.cpp for transcription, Wav2Vec2 for realignment and speechbrain for speaker identification.
[^editor]: The editor is based on slate with collaboration using the automerge CRDT.
## Acknowledgements
- Funded from March 2023 until September 2023 by
