Tag: media-download

Command-line audio and video downloader supporting thousands of sites: pick formats and quality, grab subtitles and metadata, and merge or transcode with FFmpeg. The actively maintained fork of youtube-dl.

Lightweight multi-protocol command-line downloader that fetches in parallel segments from multiple sources over HTTP(S), FTP, SFTP, BitTorrent and Metalink. Resumes downloads, reads URLs in bulk from text files and offers a JSON-RPC interface for scripts or agents.

Command-line tool for bulk-downloading galleries and posts from many image hosts and social platforms, with flexible file naming and config, and yt-dlp integration for video. Main development has moved to Codeberg; the GitHub repo stays in sync.

Pipes live streams from Twitch, YouTube and many other platforms to a local player, or saves them to video files with --output or --record, for keeping and re-editing replays of your own or partners' streams. Viewing needs a player like VLC. Only record content you have rights to.

Lets Claude Code watch videos: extracts frames with ffmpeg and transcribes timestamped audio from local files or YouTube links, to review footage, summarize lectures or find on-screen text. Needs Node.js 20+ and ffmpeg (yt-dlp for YouTube); transcribe with local Whisper or a Gemini/OpenAI key.

Bulk-downloads your Moodle course content: files, assignments and submissions, forum posts and quizzes. Re-runs fetch only what is new, so agents can help build study notes or archive courses. Your Moodle must allow mobile app access; sign in with your own account.

DAIR.AI learning plugin that turns YouTube lectures and talks into local study material: extracts slide frames, builds timestamped transcripts, and lets you take notes and review in a bundled web viewer. Needs Python, yt-dlp and ffmpeg.

Fetches captions and transcripts for YouTube videos and Shorts, with language selection and fallback, optional timestamps and sponsor segments filtered by default. No API key for transcripts; the optional visual analysis tool needs a TwelveLabs API key and a direct video URL.

Uses yt-dlp to pull YouTube subtitles into the agent, so asking it to summarize a video gets you the key points; handy for teachers prepping lessons, researchers and creators. No API key, but needs yt-dlp (Homebrew or WinGet) and Node.js.