Every image from your phone contains hidden data — your GPS location, home address, device serial number and timestamps. We strip it all and make your images undetectable to AI scanners.
Most people have no idea how much personal data is embedded in every photo they take.
GPS coordinates embedded in your listing photos can reveal your exact home address. Device serial numbers can be used to track accounts across platforms. Timestamps expose your daily patterns. All of this is readable by anyone who downloads your image — buyers, platforms, strangers.
Send any image to the bot on Telegram. Get it back scrubbed across 12 layers of protection.
JPEG, PNG, WEBP or HEIC. Up to 10 at once as an album.
Metadata stripped and AI evasion transforms applied simultaneously.
Press and hold → Save to downloads. Never screenshot — that defeats the scrub.
Every scrub is fully randomised — 5 of 12 transforms selected at random each time. Two scrubs of the same photo will never match each other.
GPS location, device model, serial number and timestamps completely removed from the file.
Subtly shifts image geometry so AI similarity models can't match it to the original. Rotation preserves geometry — perspective warp doesn't.
Each colour channel nudged independently. Breaks the colour histogram matching platforms use as a first-pass filter before deep AI scanning.
Invisible random noise added across the image. Disrupts the spatial frequency patterns CNN first layers extract for matching.
Tiny random edge removal resized back to original dimensions. Moves the spatial fingerprint away from the original frame.
Subtle random adjustments throw off the AI intensity normalisation step platforms run before deep matching.
Six additional transforms round out the 12-layer stack. DCT block jitter corrupts perceptual hash coefficients that survive downscaling — the same technique pHash and dHash rely on. Hue rotation shifts all pixel hues ±3–9° to break colour-based fingerprinting. Chroma noise targets the R and B channels independently — invisible to the eye, fatal to colour histogram matching. Micro blur softens SIFT and ORB keypoint edges. Subtle scale forces pixel re-interpolation across the entire frame. Random horizontal and vertical flips structurally defeat reverse image search.