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Upload your AI generated image and clean it in a few clicks. Remove supported EXIF, GPS, XMP, IPTC, C2PA, and AI generation data, along with supported visible watermarks. Process your image online and download the cleaned version.
EXIF, GPS, C2PA & AI prompt cleaner. Photos never leave your device.
Or browse files on your device. Strips EXIF, GPS, C2PA manifests, and AI generation parameters instantly.
Strip EXIF, Camera & GPS Location
Removes camera make, model, lens, exposure, timestamp, and geolocation.
Strip C2PA Credentials & AI Prompt Tags
Removes Adobe Content Credentials, Midjourney, DALL-E, & Stable Diffusion seeds/prompts.
Reset Perceptual Image Fingerprint (pHash)
Scrambles hash without visible change to protect against platform repost penalties.
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Upload photos or click "Try with Sample Image" above to see the metadata cleaning in action.
Zero-Retention Privacy Guarantee
Images are processed exclusively inside your browser’s canvas memory buffer. No files or thumbnails are transmitted or stored on any server.
From hardware camera identifiers to AI content credentials, every piece of hidden trace data is sanitized.
Strips camera brand, model, lens, shutter speed, ISO, aperture, and capture timestamps.
Removes precise latitude, longitude, and altitude tags embedded by smartphones and cameras.
Deletes copyright notices, author attribution, editing history, captions, and keywords.
Removes Adobe CAI provenance manifests injected into AI images and edited photos.
Erases positive/negative prompts, seeds, steps, CFG scale, and model hashes in PNG chunks.
Cleans metadata headers generated by Midjourney, DALL-E, Adobe Firefly, and ChatGPT.
Applies microscopic RGB jitter to reset pHash/dHash and bypass platform repost penalties.
Purges non-critical tEXt, zTXt, iTXt, and pHYs chunks while preserving 100% visual fidelity.
An AI image metadata and watermark remover is a tool that cleans hidden information from an image and can remove supported visible watermarks. It deals with two different parts of an image file: metadata and visual content.
Metadata is information stored alongside the image data. It can include camera details, location, creation time, editing software, author information, and AI related provenance data. C2PA Content Credentials can also record information about how content was created or edited.
A visible watermark is different. It is part of the image content that you can see, such as text, a logo, or another visual mark. C2PA itself also distinguishes visible watermarks from invisible watermarks and metadata.
The tool handles these elements through separate processes. The metadata cleaner reads the file structure, identifies supported metadata fields, and removes them without needing to alter the visible image. The watermark removal process analyzes the selected image area and reconstructs the affected pixels.
The cleaner can target several types of information commonly stored inside image files. The exact data available depends on the image format, the application that created it, and how the file was exported.
EXIF metadata can contain technical information about an image and the device used to create it. Depending on the file, this can include camera manufacturer, camera model, lens information, capture settings, timestamps, and GPS information. EXIF is also supported within C2PA provenance workflows.
Images captured by smartphones and cameras may contain GPS coordinates or other location related information. This data can reveal where an image was captured. Removing supported GPS fields helps create a cleaner copy before you share an image publicly or send it to someone else.
XMP is a metadata framework used by many creative applications to store information about digital files. It can contain details about editing, authorship, descriptions, rights, and other properties. A metadata cleaner can remove supported XMP information from the image while preserving the visual content.
IPTC metadata can store information such as creator details, copyright information, descriptions, keywords, and location data. Professional photographers, publishers, and media workflows commonly use these fields to describe and manage images. C2PA can also represent IPTC photo metadata within its provenance structure.
C2PA Content Credentials provide machine readable information about an asset's origin and editing history. Depending on the implementation, they can identify the AI system used, whether generative AI was involved, and when an AI based creation or edit occurred.
If your tool supports C2PA removal, it can remove the supported C2PA information embedded in the file. However, removing C2PA data does not prove that an image was created without AI. C2PA is one provenance signal, not a universal AI detection system.
Some image generators and editing tools store information about the software or model used to create or modify an image. The available information depends on the generator and file format. The cleaner can remove supported AI related metadata when that information exists in recognizable metadata fields.
Stable Diffusion workflows can store generation information inside image files. Depending on the application, this can include prompts, negative prompts, seeds, sampling settings, steps, CFG values, and model information.
Removing these fields can create a cleaner copy of the image without exposing the original generation settings.
PNG files can contain text based chunks that store additional information. These may include fields used by image generation and editing software. A cleaner can identify and remove supported text based metadata while retaining the actual image data.
AI tools can attach information that describes how an image was generated or modified. Adobe, for example, states that its C2PA metadata can include the AI system, model, use of generative AI, creation or modification time, and a unique identifier.
Removing supported provenance metadata gives you a cleaner file, but it does not erase every possible record of an image's origin. Other copies, platform records, databases, fingerprints, or visual analysis may still provide information about the image.
Removing metadata is useful when you want greater control over the information that travels with an image. Here are some common use cases.
Image metadata can contain information that you may not want to share. Depending on the device and application, this can include GPS coordinates, camera details, timestamps, and other technical information. Cleaning the file before sharing can reduce the amount of personal information attached to it.
AI generated images may contain information about the tool, model, or generation process. Some workflows can also preserve prompts, settings, timestamps, and other generation details. Removing supported metadata lets creators share a cleaner copy without these embedded fields.
Website owners, designers, marketers, and content creators often move images between different applications before publishing them. Cleaning metadata before uploading can remove unnecessary information that does not contribute to the visible image.
A photo can reveal where it was captured when GPS data is embedded in the file. This can be useful to remove before publishing personal photos, property images, travel photos, or other images where location privacy matters.
Creative applications can add information about software and editing activity to image files. Cleaning supported metadata can help remove these extra details before you distribute the final image.
Designers and agencies may want to deliver a clean final asset without internal software details, generation parameters, temporary information, or other metadata. A metadata cleaner provides a quick step before sending the final file to a client.
AI creators may want to share an image without exposing prompts, generation settings, model details, or other supported metadata. Cleaning the file can remove these fields while keeping the visible image intact.
Metadata can be useful, but not every field needs to remain in every copy of an image. Cleaning unnecessary metadata can help create standardized copies for specific publishing, sharing, or storage workflows.
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