Overview / Description
RecipeBook by Shofo is an AI video training-data platform where you semantically search a catalog of more than 25M clips, refine the results, and buy the exact dataset you need in one sitting. You search in plain language and narrow with metadata filters such as fps, resolution, duration, and aspect ratio. To tailor results, you rate a few sample clips and RecipeBook trains a probe on your votes to re-rank the whole catalog to your taste, so even a small amount of feedback reshapes what surfaces. When you buy, you specify how many hours of footage you want and receive a review sheet showing the score distribution plus a playable grid of the lowest-scoring clips to judge the quality floor, with a trim slider to finalize the selection. There are no contact forms and no sales calls: a CSV manifest with download links arrives in your inbox within a couple of minutes, and pricing is $3 per hour of footage. RecipeBook is built for AI and ML teams training video models, VLMs, world models, and multimodal systems, particularly early-stage companies that want to skip long vendor negotiations. Per the founder, the corpus currently has no captions or engagement metadata, so search is purely visual for now.
Used For
Best for AI/ML teams training video models, VLMs, or multimodal systems who want to buy curated clip datasets without vendor negotiations.
Pricing
Pay per hour
$3 per hour of footage; self-serve with a CSV manifest and download links delivered in minutes.
Pros & Cons
Pros
- Semantic search across a catalog of more than 25M video clips using plain-language queries
- Rate a few clips and it trains a probe on your votes to re-rank the whole catalog to your preferences
- Metadata filters for fps, resolution, duration, and aspect ratio
- Self-serve buying at $3/hour with a CSV manifest and download links delivered in minutes, no contact forms or sales calls
- Review sheet with score distribution and a trim slider to finalize the dataset before purchase
Cons
- The corpus currently has no captions or engagement metadata, so search is purely visual
- Metadata is described by the founder as not very strong yet
- Narrowly aimed at teams training video/multimodal models; not useful for general video needs
- Licensing and provenance of purchased clips are not detailed on the page
Questions & Answers
Alternatives
Alternatives include general video dataset sources and open-web video corpora used to assemble training data manually.
Reviews & Ratings
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