8 posts
Sakarto offers 7 distinct visual algorithms for finding duplicate images and videos. We break down when to use Color Signature, pHash, ORB, and the rest—so you never waste time on the wrong tool again.
Sakarto's Color Signature algorithm finds duplicate photos and videos by comparing actual colour content across a 24×24 YUV grid. Free, browser-based, and 100% private. Learn how it works and when to use it.
Sakarto's aHash (Average Hash) algorithm finds duplicate photos and videos in milliseconds by comparing brightness structure. Free, browser-based, and 100% private. Learn how to use it effectively.
Sakarto's BlockHash algorithm finds duplicate photos and videos by comparing block‑averaged brightness. Perfect for heavily compressed JPEGs, scanned documents, and noisy image collections. Free, browser‑based, and 100% private.
Sakarto's dHash (Difference Hash) algorithm finds duplicate photos and videos by comparing edge and gradient structure—not absolute brightness. Perfect for exposure‑adjusted, HDR, and color‑graded copies. Free, browser‑based, and 100% private.
Sakarto's pHash (Perceptual Hash) algorithm finds duplicate photos and videos using the same Discrete Cosine Transform as JPEG compression. Perfect for re‑compressed, watermarked, and lightly edited copies. Free, browser‑based, and 100% private.
Sakarto's wHash (Wavelet Hash) algorithm finds duplicate photos and videos using a Haar Wavelet Transform—faster than pHash with near-identical accuracy. Perfect for large collections where speed matters. Free, browser-based, and 100% private.
Sakarto's ORB feature matching algorithm finds duplicate images and videos using OpenCV.js keypoint detection—the only algorithm that handles rotation, cropping, and perspective distortion. Free, browser‑based, and 100% private.