https://github.com/jlevy/deep-transcribe
https://github.com/jlevy/deep-transcribe
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/jlevy/deep-transcribe
- Owner: jlevy
- License: agpl-3.0
- Created: 2025-03-31T23:31:40.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-04-24T02:39:46.000Z (about 2 months ago)
- Last Synced: 2025-04-24T03:29:16.453Z (about 2 months ago)
- Language: Python
- Size: 510 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# deep-transcribe
Take a video or audio URL (such as YouTube), download and cache it, and perform a "deep
transcription" of it, including full transcription, identifying speakers, adding
sections, timestamps, and annotations, and inserting frame captures.
By default this needs API keys for Deepgram and Anthropic (Claude).
This is built on [kash](https://www.github.com/jlevy/kash) and its
[kash-media](https://www.github.com/jlevy/kash-media) kit of tools for handling videos.
## Usage
See the `env.template` to set up DEEPGRAM_API_KEY and ANTHROPIC_API_KEY.
```shell
uv tool install --upgrade deep-transcribe
# Pick a YouTube video, and do a basic, formatted, or fully annotated transcription:
deep-transcribe transcribe https://www.youtube.com/watch?v=ihaB8AFOhZo
deep-transcribe transcribe_format https://www.youtube.com/watch?v=ihaB8AFOhZo
deep-transcribe transcribe_annotate https://www.youtube.com/watch?v=ihaB8AFOhZo
```
Results will be in the `./transcriptions` directory.
To run as an MCP server:
```shell
# In stdio mode:
deep-transcribe mcp
# In SSE mode at 127.0.0.1:4440:
deep-transcribe mcp --sse
```
Or for Claude Desktop, a config like this should work (adjusted to use your appropriate
home folder):
```json
{
"mcpServers": {
"deep_transcribe": {
"command": "/Users/levy/.local/bin/deep-transcribe",
"args": ["mcp"]
}
},
}
```
To debug MCP logs:
```shell
deep_transcribe mcp --logs
```
## Project Docs
For how to install uv and Python, see [installation.md](installation.md).
For development workflows, see [development.md](development.md).
For instructions on publishing to PyPI, see [publishing.md](publishing.md).
* * *
*This project was built from
[simple-modern-uv](https://github.com/jlevy/simple-modern-uv).*
```
```