Everything about AI labels, provenance metadata and what this tool does with your files.
An AI label remover is a tool that strips the provenance metadata inside an image file — C2PA content credentials, XMP generator tags, IPTC attribution, EXIF software fields and PNG text chunks. Those records are what Instagram, Facebook, TikTok and Pinterest read on upload before attaching an “AI info” or “Made with AI” badge. AI Label Remover does this entirely in your browser, with no account and no upload.
Drop the image into the tool on this page, let it re-encode the file, download the cleaned copy, and upload that copy instead of the original. Instagram reads file-level provenance metadata at upload time, so a file that no longer carries C2PA or XMP AI tags no longer gives the automatic labeller anything to match on.
Because an editing step wrote AI provenance metadata into the file, not because the whole picture was judged synthetic. Photoshop Generative Fill, Lightroom AI Denoise, AI background removal, AI sky replacement and CapCut exports all embed C2PA or XMP markers, and Meta’s automatic system labels any upload that carries them. This is the most common false positive creators run into.
No. Every step — inspection, decoding, re-encoding and download — runs in your own browser using the File and Canvas APIs. Your photos never leave your device, there is no queue, and nothing is stored or logged. You can disconnect from the internet after the page loads and the tool still works.
All of it. Re-encoding produces a brand-new file containing only pixels, which removes C2PA content credentials, XMP packets (prompts, seeds, generator names), IPTC attribution fields, the full EXIF block including GPS coordinates, device serial numbers and timestamps, JPEG comment segments, and PNG tEXt, iTXt and zTXt chunks written by Stable Diffusion or ComfyUI.
Every generator that writes metadata: Midjourney, DALL·E and ChatGPT Image, Google Gemini and Imagen, Adobe Firefly, Photoshop Generative Fill, Stable Diffusion, ComfyUI, Leonardo AI, Ideogram, Runway ML, Grok, Meta AI, Canva and CapCut. The cleaning step is format-level, so a generator does not need to be on that list for its metadata to be removed.
No, and no metadata tool can. SynthID and similar watermarks are encoded into the pixels themselves rather than into the file’s metadata, so they survive re-encoding. The same applies to visual AI classifiers, which judge the picture rather than the file. This tool addresses the metadata trigger only.
Not visibly. Images are re-encoded at 92% quality by default, which is above the point where JPEG artefacts become noticeable, and you can raise it to 100% or choose lossless PNG output. Dimensions are always preserved exactly.
It shifts a scattered subset of pixel values by ±1 RGB, which is invisible to the eye but changes the perceptual hash of the file. Platforms and reverse-image search use that hash to match a new upload against copies of the same image seen before, so resetting it stops a cleaned file being linked back to an earlier labelled version.
No. Once a platform has attached a label to a published post, that label lives in the platform’s records, not in your file. Some platforms let you appeal or remove the label from the post’s settings; otherwise the reliable route is to delete the post and re-upload the cleaned file. This tool is for upload preparation.
Removing metadata from files you own is legal in general, and is the same operation every social platform already performs on your uploads. What it does not do is remove your disclosure obligations: where a platform’s terms or a regulation such as the EU AI Act requires you to declare AI-generated content, you must still declare it. Use this to fix false positives and protect privacy, not to misrepresent synthetic media.
JPG, PNG, WebP, AVIF and HEIC, up to 15MB per file, in batches of up to 30 images. AVIF and HEIC sources are exported as PNG or JPEG because browsers decode those formats but do not encode them. Animated GIF is not supported.