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July 2026: Pureframe AI 1.0

Pureframe AI is out of beta. Everything below ships as part of 1.0: Official SDKs: the Python SDK (pip install pureframe-ai) and JavaScript SDK (npm install @pureframeai/sdk) are now available. Both are generated from the public OpenAPI specification. MCP server: upload + job tools: the MCP server now includes upload_video (index a local file straight from your AI agent) and get_job_status, alongside search, collections, and video tools. Ask Claude to “upload this folder and tell me when it’s searchable.” Trial lifecycle: trial accounts now receive reminder emails three days and one day before expiry, followed by a 48-hour grace period. Storage billing: Pay as you go accounts are billed for actual bytes stored at $0.06/GB-month, accrued daily. Deleting videos frees the charge immediately. See Usage and Billing. Low-balance email alerts: Pay as you go accounts now get an email when their credit balance drops below $1, so you don’t get caught by a mid-project INSUFFICIENT_CREDITS error. Bot protection: sign-in and account creation now include automated abuse protection. Improved search recall: short and ambiguous text queries can now return more relevant matches. New onboarding walkthrough: first-time users now see a guided welcome tour highlighting collections, search, and Frame Map.

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June 2026

Image search refinements: reverse image search no longer requires a collection_id (search your whole library with an image), and now rejects reference images smaller than 64×64 pixels to avoid low-quality matches.

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May 2026

Improved visual search: visual matching now returns more relevant results across a wider range of footage. Hybrid search modes: search requests now accept a modes parameter instead of a single mode string, so you can restrict a query to specific signal types or search all of them at once. Per-segment frame thumbnails: search results now return a thumbnail for each matched segment individually, instead of one thumbnail per video. Frame Map (Beta): a new spatial canvas view that projects every indexed frame onto a 2D map organized by visual similarity, with clustering, a minimap, and a preview strip. See Frame Map.
This changelog covers customer-visible changes. It does not include internal implementation changes.