StripShot/Bypass AI Detection/Pinterest
Pinterest uses metadata scanning, C2PA reading, and perceptual hash matching. StripShot addresses all three layers. Strip metadata and modify image hash before uploading.
Supports JPEG, PNG, WebP. Up to 25MB. Files never leave your browser.
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Browse files· JPEG, PNG, WebP · Max 25MB
Pinterest is the most aggressive AI detection platform. You need to defeat all three layers.
Reads EXIF, XMP, IPTC, and PNG text chunks for AI tool signatures. Catches Midjourney prompts in EXIF, Stable Diffusion parameters in PNG tEXt, software strings in XMP. Defeated by: full metadata stripping.
Reads C2PA JUMBF blocks embedded by Adobe Firefly, DALL-E, and Microsoft Designer. Signed certificates declaring AI origin. Defeated by: C2PA credential removal.
Computes a visual fingerprint (pHash) of your image and compares it against a database of known AI outputs. Survives metadata removal. Defeated by: anti-fingerprint pixel modification.
Drop your AI-generated image into StripShot. Supports JPEG, PNG, WebP up to 25MB.
StripShot removes EXIF, XMP, IPTC, C2PA credentials, AI tool signatures, and PNG text chunks in one click.
This step is critical for Pinterest. Anti-fingerprint mode applies sub-perceptual pixel modifications that change the image's perceptual hash, defeating Pinterest's pHash matching database.
Save with a randomized filename. All three detection layers are addressed.
Pinterest uses perceptual hash (pHash) matching in addition to metadata scanning. If your image is in their pHash database of known AI outputs, metadata removal alone is not enough. Anti-fingerprint mode modifies the pixel data to change the hash.
It applies +/-1 RGB value changes to approximately 10% of pixels, prioritizing edges where changes are least perceptible. This changes the file's perceptual hash enough to avoid database matches while making no visible difference to the image.
No visible difference. The pixel modifications are sub-perceptual. The changes are smaller than JPEG compression artifacts. Resolution and visual quality are unaffected.
Pinterest applies AI labels and may reduce organic distribution. Account-level enforcement is possible for repeated policy violations. Their detection is more aggressive than other platforms because they have a creator-focused user base that values original content.
For images likely to be in Pinterest's database (popular AI generation styles, stock-looking outputs, prompts used by many people), yes. For highly unique custom images, metadata removal alone may be sufficient.