RecipeBook by Shofo

About RecipeBook by Shofo

RecipeBook by Shofo is a video data platform that indexes over 25 million publicly available clips. Users search semantically, filter by technical metadata, and buy training datasets by the hour. The workflow is self-serve, with no contact forms or sales calls.

Review

RecipeBook targets machine learning teams that need video data for training models. Instead of negotiating with data brokers or scraping data manually, users query the catalog, rate a few clips to refine results, and purchase the exact hours they want. A re-ranking mechanism trains a classifier on user votes to reorder the entire catalog, aiming to surface clips that match the user's preferences.

Key Features

• Semantic search across 25M+ video clips using plain language queries.
• Metadata filtering by fps, resolution, duration, and aspect ratio.
• Relevance feedback via upvotes and downvotes, which trains a probe to re-rank the whole catalog to the user's taste.
• Purchase by the hour: specify a desired amount, review a score distribution and playable grid of the lowest-ranked clips, then checkout at $3 per hour.
• Instant delivery of a manifest CSV with download links, arriving within minutes after purchase.

Pricing and Value

The self-serve price is $3 per hour of video data. Self-serve purchases do not include indemnity coverage. For larger deals, custom contracts with different terms can be negotiated. The per-hour cost sits below the $15 to $480 range that many commercial data providers charge, though the lack of included legal protection is a trade-off.

Pros

• Self-serve purchase flow; no sales calls or contact forms required.
• The re-ranking classifier adjusts results based on user votes, often after only a few examples.
• A catalog of 25M+ clips with semantic search and metadata filters.
• A CSV manifest with download links delivered within minutes of checkout.
• $3 per hour, a price point below typical commercial data provider rates.

Cons

• Metadata is limited to visual signals; captions and engagement data are not yet available, so search is purely visual.
• Self-serve buyers assume full legal risk for downstream use; indemnity is not included unless a custom contract is negotiated.
• Not well suited for teams that require pre-cleared licensing or indemnification as a standard part of the purchase; those buyers must go through a sales process for custom terms.

RecipeBook by Shofo fits teams that can accept the legal responsibility for using publicly available data and want to iterate quickly on video datasets. It is less appropriate for organizations that need guaranteed licensing clearance or indemnification without a negotiated agreement. The platform's low price and fast turnaround make it a practical option for prototyping and small-scale training runs.