Video Summarizer

What Video Summarizer is

Video Summarizer is an open-source tool that turns video URLs and files into reusable notes. It accepts sources including YouTube, Instagram, TikTok, Twitter/X, Reddit, Facebook, Google Drive, Dropbox, and local files. In its default workflow, it uses captions when available or transcribes audio with Whisper, then summarizes the transcript with an LLM. A separate visual mode sends video, including visible content and audio, directly to a video-capable model without transcription. Summary styles include Q&A, distillation, fact-checking, tutorials, Mermaid diagrams, and essays; users can add custom styles through prompts.json. Interfaces include a Streamlit GUI, CLI, optional HTTP API, Docker deployment, Raycast extension, and agent skill. The project is described as local-first, and users configure at least one LLM API key in a local .env file. Documented requirements include Python 3.7 or later and ffmpeg on PATH. Transcript caching supports reruns with different styles or providers. The webapp can publish summaries as public rendered pages through Tinypaste, with no account or token. Visual requests default to limits of 120 seconds and 100 MB. Webapp history keeps its last 10 summaries in memory by default and is lost on refresh unless disk persistence is configured.