ryanbiddy/uoink

Save the YouTube videos, podcasts and articles you study. Your AI searches them and cites the timestamp.
Free, open source and local on Windows: transcripts, frames and comments land on your disk as Markdown and JSON, ready for Claude, Cursor, Codex or any MCP client.
Free, open source (MIT), and local-first: no account, no Uoink cloud, and anonymous usage counts stay off unless you turn them on. Uoink saves supported sources as structured Markdown on your machine, then makes the corpus available to your AI through the clipboard, a local MCP server, and an OpenAPI bridge. YouTube capture includes the transcript, timestamped screenshots, comments, and metadata; other source types keep the material their publishers expose.
Website: https://uoink.app · Install: https://uoink.app/install · Developers: https://uoink.app/developers
Status: Windows 10/11, plus a Mac preview (Apple Silicon, macOS 15 or later) that Apple has notarized. The extension sideloads from the release; it is not on the Chrome Web Store yet. The Windows installer is unsigned, so SmartScreen will warn on first run.
## Why Uoink
You see a video that's clearly working and you want to know why. So you paste the YouTube link into Claude and hope it can "watch" it. It can't — it hallucinates the quotes, invents the title, and gives up past the first paragraph. You end up watching the whole thing on 2x, taking notes by hand.
Uoink fixes that. Click the Uoink button under any video (or right-click a link, or press Alt+U) and you get the full transcript, timestamped screenshots, top comments, channel context, and metadata — copied to your clipboard and saved on disk, ready for Claude, ChatGPT, or your notes app. Or tell your AI agent "uoink that video and decode the hook" and it does both, with no clipboard step.
The corpus compounds. Every source you save lands in one local library your AI can search, cite, and write from — in your voice.
## What you can capture
| Source | Captured |
| YouTube (flagship) | Timestamped transcript, screenshots, top comments, channel context, full metadata, JSON sidecar |
| X / Twitter video + text | Video transcript and post text, author credit, thread context |
| Podcasts | Automatic RSS/Atom metadata watching; optional per-feed Auto-ingest for local MP3 download, WhisperX transcription, and corpus publishing |
| Web pages / articles | Readable text extraction into the same corpus format |
| Reddit | Thread + top comments as Markdown |
Published sources are indexed in one local library. Podcast audio and transcripts stay under Uoink's local data folder; publishing an episode adds its Markdown and sidecar to that same searchable index.
## Three ways your AI reads the corpus
1. Clipboard (the creator path) — Click Uoink, paste into Claude / ChatGPT. Transcript plus a paste-safe subset of screenshots inlined as images so the model sees text and frames in one paste.
2. MCP server (the agent path): A local MCP server exposing 91 tools over stdio, five library resource templates and nine prompts. Claude Desktop (.mcpb), Claude Code and Cursor get the full capture, research, writing and Library tool set through the standard connection. Consent gates are unchanged.