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returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-05-06T15:55:03.337Z","updated_at":"2026-03-04T12:03:55.411Z","avatar_url":"https://github.com/jlevy.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# deep-transcribe\n\nTake a video or audio URL (such as YouTube), download and cache it, and perform a \"deep\ntranscription\" of it, including full transcription, identifying speakers, adding\nsections, timestamps, and annotations, and inserting frame captures.\n\nBy default this needs API keys for Deepgram and Anthropic (Claude).\n\nThis is built on [kash](https://www.github.com/jlevy/kash) and its\n[kash-media](https://www.github.com/jlevy/kash-media) kit of tools for handling videos.\n\n## Usage\n\nSee the `env.template` to set up DEEPGRAM_API_KEY and ANTHROPIC_API_KEY.\n\n```shell\nuv tool install --upgrade deep-transcribe\n\n# Pick a YouTube video, and do a basic, formatted, or fully annotated transcription:\ndeep-transcribe transcribe https://www.youtube.com/watch?v=ihaB8AFOhZo\ndeep-transcribe transcribe_format https://www.youtube.com/watch?v=ihaB8AFOhZo\ndeep-transcribe transcribe_annotate https://www.youtube.com/watch?v=ihaB8AFOhZo\n```\n\nResults will be in the `./transcriptions` directory.\n\nTo run as an MCP server:\n\n```shell\n# In stdio mode:\ndeep-transcribe mcp\n\n# In SSE mode at 127.0.0.1:4440:\ndeep-transcribe mcp --sse\n```\n\nOr for Claude Desktop, a config like this should work (adjusted to use your appropriate\nhome folder):\n\n```json\n{\n  \"mcpServers\": {\n    \"deep_transcribe\": {\n      \"command\": \"/Users/levy/.local/bin/deep-transcribe\",\n      \"args\": [\"mcp\"]\n    }\n  },\n}\n```\n\nTo debug MCP logs:\n\n```shell\ndeep_transcribe mcp --logs\n```\n\n## Project Docs\n\nFor how to install uv and Python, see [installation.md](installation.md).\n\nFor development workflows, see [development.md](development.md).\n\nFor instructions on publishing to PyPI, see [publishing.md](publishing.md).\n\n* * *\n\n*This project was built from\n[simple-modern-uv](https://github.com/jlevy/simple-modern-uv).*\n```\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlevy%2Fdeep-transcribe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjlevy%2Fdeep-transcribe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlevy%2Fdeep-transcribe/lists"}