{"id":18598231,"url":"https://github.com/cmdoret/yt2logseq","last_synced_at":"2025-09-08T20:40:37.138Z","repository":{"id":225252458,"uuid":"765455340","full_name":"cmdoret/yt2logseq","owner":"cmdoret","description":"Experiment to generate logseq notes from a youtube video using ML.","archived":false,"fork":false,"pushed_at":"2024-06-08T00:45:35.000Z","size":2087,"stargazers_count":1,"open_issues_count":3,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-16T14:11:25.968Z","etag":null,"topics":["logseq","machine-learning","note-taking","video"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cmdoret.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-03-01T00:24:20.000Z","updated_at":"2024-06-08T00:45:38.000Z","dependencies_parsed_at":"2024-05-13T09:59:33.968Z","dependency_job_id":"71fdbe35-edd3-4a0a-a819-f9d5ab309c44","html_url":"https://github.com/cmdoret/yt2logseq","commit_stats":null,"previous_names":["cmdoret/yt2logseq"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/cmdoret/yt2logseq","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Fyt2logseq","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Fyt2logseq/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Fyt2logseq/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Fyt2logseq/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cmdoret","download_url":"https://codeload.github.com/cmdoret/yt2logseq/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmdoret%2Fyt2logseq/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274231505,"owners_count":25245601,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["logseq","machine-learning","note-taking","video"],"created_at":"2024-11-07T01:31:44.635Z","updated_at":"2025-09-08T20:40:37.112Z","avatar_url":"https://github.com/cmdoret.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# yt2logseq\n\nExperiment to autogenerate [logseq](https://logseq.com/) notes from a youtube video using machine learning.\n\nThe goal of this tool is to generate logseq notes with rich metadata and AI summary from a youtube video.\n\nIt uses yt-dlp to download youtube videos, ffmpeg to extract the audio, openAI whisper to generate subtitles locally and transformers (BART models) to generate a summary of the subtitles.\nIn additionl the tools can read an existing logseq graph to gather all `topic::` already in use and perform zero-shot classification to assign the input video to up to 3 existing topics.\n\n## Installation\n\nInstall with poetry\n\n```sh\npoetry install\n```\n\n## Usage\n\n```sh\n# Without logseq\npython yt2logseq/main.py \u003cvideo-url\u003e \u003coutput.md\u003e\n\n# With logseq\nLOGSEQ_DIR=path/to/logseq/graph python yt2logseq/main.py \u003cvideo-url\u003e \u003coutput.md\u003e\n```\n\n## Example\n\n![example output](docs/example.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmdoret%2Fyt2logseq","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmdoret%2Fyt2logseq","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmdoret%2Fyt2logseq/lists"}