Bakwas

Skip the bakwas ("nonsense") — extract and summarize YouTube video transcripts with the LLM of your choice.

Bakwas is a small, self-hosted Flask app that pulls captions from a YouTube video, sends them through the LLM provider you configure (Anthropic, OpenAI, Google, DeepSeek, Groq, OpenRouter, a local Ollama, or any OpenAI-compatible endpoint), and stores the summary in a local SQLite database so you can revisit it later.

Features

• Works with any LLM via a pluggable provider registry — OpenAI-compatible endpoints are fully supported
• Concise (bulleted) or comprehensive (paragraph) summary styles
• Server-side sorting, pagination, and URL-based caching so you don't pay to regenerate the same summary twice
• Settings modal for default model, default summary style, and items-per-page preferences
• Dark and light themes
• Rate limiting on the expensive endpoint only, disabled automatically in local dev
• Ships as a single Docker container with a SQLite volume

Next steps

• Get started with Docker — the recommended way to run Bakwas.
• Run it locally for development — Python 3.12, hot reload, no container needed.
• Configure providers — plug in the LLM backends you want to use.