Reel Recipes
Paste a cooking video — get back a clean recipe you can actually cook from.
↗ Open the live demoYou paste a link to a cooking video and it pulls the captions (or transcribes the audio), reads the recipe out of it, and saves a clean card — ingredients, step-by-step method, timings, and tags — that you can search, filter, and favorite.
Here's what using it actually looks like:
The transcript is the hard part, so it degrades in tiers: it first tries the video's own captions, falls back to local Whisper transcription of the audio when there are none, and finally to the description alone — so it almost always has *something* to work with. Then a JSON-schema-constrained model turns messy, unpunctuated cooking narration into a strict recipe shape (quantities, units, ordered steps, a confidence rating), and the structuring engine is swappable between the Claude subscription CLI, a local Ollama model, or the Anthropic API. The hard part: getting reliable structured output from someone rambling over a stovetop.
- yt-dlp pulls video metadata, captions, audio, and a thumbnail; Instagram/Facebook get an automatic cookie-based retry
- Three-tier transcript fallback: video captions → local Whisper → description-only
- A JSON-schema-constrained model structures the transcript into a validated recipe (ingredients, steps, timings, tags)
- Swappable structuring backend: Claude Code CLI, local Ollama, or the Anthropic API
- Saved locally to SQLite with full-text search, tag filters, and favorites
Meal planning and auto-built grocery lists from your saved recipes.