What is FrameTrace?

FrameTrace — reverse video search and video source finder that locates original uploads and reposts by matching visual frames and metadata across TikTok, Instagram, YouTube, Reddit and other platforms.

Users can upload clips or paste direct video URLs (MP4, MOV, WEBM) for quicksearch (first-frame lookup) or deepsearch (frame-by-frame analysis) to detect re-encodings, edits, crops and partial matches.

The engine extracts visual fingerprints, motion patterns and metadata to surface exact matches, related clips, platform links, thumbnails and upload dates.Use cases include journalists verifying news clips, creators tracking unauthorized reposts, researchers locating original sources and rights holders compiling duplication evidence.

frametrace runs in the browser on desktop and mobile, supports direct media links and file uploads, and returns match results and provenance data for verification and content-management workflows.Results include source URLs, match context and confidence metrics to support authenticity checks, copyright claims and investigative workflows.

FrameTrace pricing Freemium

Quicksearch limited $0

Deepsearch starter $4/mo

Deepsearch basic $7/mo

Deepsearch pro $29/mo

Verify on the official pricing page.

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FrameTrace's key features

Cross-platform reverse video search matching visual frames and metadata across TikTok, Instagram, YouTube, Reddit and other platforms
Supports file uploads and direct video URLs (MP4, MOV, WEBM) as input
Two search modes: quicksearch (first-frame lookup) and deepsearch (frame-by-frame analysis) to detect re-encodings, edits, crops and partial matches
Extracts visual fingerprints, motion patterns and metadata to surface exact matches, related clips, thumbnails and upload dates
Runs in-browser on desktop and mobile and returns match results with source URLs, match context, provenance data and confidence metrics

FrameTrace use cases

Verify viral videos and claims by uploading a clip or pasting a URL into FrameTrace to locate original uploads, repost chains, and edited versions across TikTok, Instagram, YouTube, and Reddit using frame-by-frame visual matching and provenance confidence metrics
Protect creators and brands from unauthorized reposts and copyright infringement by running cross-platform reverse searches and video fingerprint matching on source files or URLs to find reposts, edits, and distribution networks, producing match locations and confidence scores to support takedown or licensing actions
Investigate incidents, build evidence timelines, or research media provenance by performing detailed frame-by-frame searches to detect edits, splices, and earliest appearances across platforms, exporting matched frames and metadata to document origins and attribution with confidence metrics