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UCFP

UCFP

Deterministic fingerprints for text, media, and docs.

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Detect duplicate, near-duplicate, and stolen content across text, code, images, audio, and video. Reliably. At scale. UCFP is a production-grade content fingerprinting framework that lets you identify exact matches and perceptual similarity—even when content is cropped, paraphrased, compressed, trimmed, or lightly edited
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Free
Launch tags:Open Source•Developer Tools•GitHub
Launch Team
Framer
Framer
Launch websites with enterprise needs at startup speeds.
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What do you think? …

Ashutosh Kumar
Maker
📌
Hey Product Hunt 👋 I built UCFP because most “content similarity” tools stop at either string matching or embeddings — and real systems need both. UCFP is structured as a clear pipeline (ingest → canonical → perceptual → semantic → index → match) so exact matches, paraphrases, and semantic similarity are handled explicitly, not conflated. It’s text-only for now by design. Other modalities come only if the abstractions hold up. Happy to answer questions about the architecture, tradeoffs, or where this fits in real-world systems.