Make AI images read as real camera photos
Generators stamp their output with provenance signals — C2PA manifests, EXIF software tags, synthetic pixel statistics. DEAI strips those signals and replaces them with a coherent camera profile, so a false “Made with AI” label lets go of your image.
Drop an image to process
or click to select — JPG / PNG / WEBP · up to 16 MB
Processing image — removing AI signatures...
Camera EXIF injection
A complete, internally consistent profile — iPhone, Canon, Sony or Nikon — with matching lens, ISO, shutter and timestamp fields.
Lens flaw simulation
Chromatic aberration, vignetting and subtle blur — the optical imperfections every real lens has and every generator lacks.
Real JPEG pipeline
Re-encoded the way a camera does it: 4:2:2 chroma subsampling and block structure that match genuine camera output.
Plausible location data
Randomized GPS coordinates drawn from real cities, consistent with the injected timestamp and device profile.
From flagged to camera-original
Detectors read two layers of evidence: provenance metadata (C2PA, EXIF) and pixel-level statistical fingerprints. DEAI removes the AI signatures and replaces them with organic camera characteristics — so the same image that tested as synthetic reads as a genuine photo.
Detected as AI
A fresh generator export carries embedded provenance signals and synthetic pixel statistics. Here the detector scores it 98% AI.
Stripped & replaced
AI metadata is removed, any C2PA manifest invalidated, and a coherent camera profile injected — EXIF, sensor noise, lens flaws and JPEG artifacts that all agree with each other.
Reads as real
Re-tested on the same detector, the processed file now scores 99% camera-original. No single inconsistent signal remains for a classifier to latch onto.
Original Image
Processed Image
Injected EXIF Data
Three honest use cases
Photographers hit by false positives
You shot a real wedding photo, removed one distracting guest with a generative fill, and the platform now brands the entire image “Made with AI.” The label ignores that 99% of the frame is your work. Restoring the camera profile corrects a labeling error, not a deception.
Digital artists who disclose on their own terms
Creators publishing openly-AI artwork still get mangled by automatic labels that override their captions and bury reach. Many prefer to disclose AI use in their own words — and manage the technical signals themselves.
Researchers & educators
Studying how provenance systems behave requires seeing both sides: how detectors flag files, and how files look once signals are removed. DEAI is a working demonstration of the entire pipeline, from C2PA manifests to noise profiles.
Latest guides
Questions, answered plainly
Does the tool store my images?
No. Images are processed in memory and discarded as soon as the result is delivered to your browser. Nothing is archived, shared, or retained — see the privacy policy for the full detail.
Will removing metadata stop my image from being labeled as AI?
It removes the strongest single signal, but modern detectors also analyze pixel-level statistics. DEAI addresses both layers — metadata and pixel fingerprint — because a file that is clean in one layer but synthetic in the other is still easy to flag. For the full picture, read our guide to AI metadata.
Why was my real photograph labeled as AI?
Platforms inherit AI labels from editing tools. If a single element was filled or expanded with a generative feature, the whole image can carry an AI label on upload. This is the most common false-positive path — covered in depth in our false-positive guide.
What about SynthID and other pixel watermarks?
Watermarks woven into pixel values — like Google’s SynthID — are designed to survive re-encoding and cannot be cleanly stripped the way metadata can. Anyone claiming a clean SynthID removal is selling you something. We explain the limits honestly in the metadata guide.
Is editing image metadata legal?
Editing metadata of files you own is generally legal. What matters is how the result is used — misrepresenting AI work as human photography, or evading disclosure where it is required, can violate platform terms or local rules. DEAI is intended for false-positive correction, education, and research.