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The original was posted on /r/opensource by /u/LifeRooN on 2025-06-07 08:41:32+00:00.
About a month ago I ran into a weirdly frustrating problem: I had a short video fragment and wanted to find the full source video. Google Lens? Ugh... It only works with still images, and a screenshot doesn’t carry enough context. So I decided to build something myself.
Meet "Turron" — a system designed to locate the original video using just a small snippets. Inspired by Shazam, it works by extracting keyframes from the snippet, generating perceptual hashes (using the pHash algorithm), and comparing them against hashes from a known video database using Hamming distance.
Yesterday I released v1.0. Right now it works locally with Postgres as the storage backend. In the future, I plan to add:
* Parallelized Kafka workers for faster indexing and searching;
* And possibly even web-crawling support to match snippets against online content;
The code is fully open-source and self-hostable! =]
GitHub: https://github.com/Fl1s/turron
Would love to see any tips, feedback, ideas, or collaboration if anyone's interested.