{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "charlesmpc-by2kb--transcribe-local-meetings-and-lectures",
 "repo": "Charlesmpc/by2kb",
 "repo_url": "https://github.com/Charlesmpc/by2kb",
 "repo_slug": "charlesmpc-by2kb",
 "title": "Turn local meeting audio and lecture video into notes",
 "page_title": "How to turn local meeting audio and lecture video into notes with By2 KB",
 "summary": "Ingest an mp3 or mp4 file from disk and produce the same three Markdown artifacts.",
 "who": "A team member or student with recorded meetings or lectures that are not hosted on Bilibili or YouTube.",
 "problem": "Recordings sit unsearched on disk, and writing study notes by hand takes hours.",
 "outcome": "Transcript, short abstract, and long study notes for the local file, stored in the knowledge base.",
 "steps": [
  "Run `pipx install \"by2kb[asr-whisper]\"` for local Whisper support, or add the youtube extra if needed. (inferred, check the README)",
  "Run `by2kb init --preset agent-local` and `by2kb models install`.",
  "Confirm ffmpeg and ffprobe are on PATH, then run `by2kb doctor`.",
  "Run `by2kb ingest ./meeting.mp3` for an audio file.",
  "Run `by2kb ingest ./lecture.mp4` for a video file."
 ],
 "agent_prompt": "Use the by2kb repository (github.com/Charlesmpc/by2kb) to ingest the local file <file path> into my knowledge base. Expected output: a content folder with raw, short, and long Markdown files. Verify by running by2kb doctor --json and checking that the media step succeeded.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "Local files depend on ffmpeg and ffprobe being installed, and the README does not list every supported format beyond the examples given.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.12 or newer",
  "pipx installed",
  "ffmpeg and ffprobe available on PATH",
  "Optional: Deno 2.3+ or Node.js 22+ for YouTube player challenges",
  "Optional: a Hermes agent for chat-based use, or an OpenAI-compatible API key for standalone summaries"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/charlesmpc-by2kb/transcribe-local-meetings-and-lectures/",
 "md": "https://dedupedai.com/use-cases/charlesmpc-by2kb/transcribe-local-meetings-and-lectures/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/charlesmpc-by2kb--transcribe-local-meetings-and-lectures.json",
 "api_version": "v1"
}