Calabi Labs · Guide · 2026-05-25
AI metadata is hidden information embedded in files by AI image generators — tracking data that tells the world exactly which AI model created your work, when, and under what conditions. Removing it means stripping that metadata so your images leave no digital fingerprint.
Here's everything you need to know.
When you generate an image with tools like Midjourney, DALL·E, Stable Diffusion, or Adobe Firefly, the output file doesn't just contain pixels. It carries a hidden payload of technical information baked into the image's metadata fields.
This data typically includes:
You can't see this information by looking at the image. But anyone — editors, platforms, clients, competitors — can view it in seconds using free metadata readers or image properties panels.
This metadata lives in standardized fields like EXIF, IPTC, or XMP. It's attached automatically, silently, every time you export an AI-generated image.
You may not want clients, employers, or the public knowing an image was AI-generated. Embedded metadata tells them immediately.
Many stock agencies, design platforms, and publishing workflows require clean metadata. Uploading an image with AI model data can trigger rejection or flagging.
Some AI platforms use metadata to track where their outputs circulate. Removing it is a basic step toward controlling how your work is identified.
As AI copyright law evolves, embedded metadata can be used to support claims about who owns a work. Clean files reduce complications.
There are several approaches, from quick manual methods to batch processing tools.
The fastest and most thorough option. Tools like Calabi let you drop in images and strip all AI-related metadata in one click — including fields that manual tools often miss.
Steps:
For batch processing multiple files, this is far more efficient than manual methods.
ExifTool is a powerful open-source utility for reading and writing image metadata.
```bash
exiftool -all= image.png
exiftool -all= *.png ```
This strips everything — EXIF, XMP, IPTC, and any AI-specific fields. It's thorough but requires comfort with a terminal.
For a single image on Mac:
For Windows:
This is slower for batches and may not catch all AI-specific fields that tools like ExifTool expose.
The nuclear option: open the image, take a screenshot of it, and export the screenshot as a new file. Metadata does not survive re-rendering. This is destructive to image quality but guaranteed clean.
Here's a quick reference for common tools:
| Platform | Metadata Embedded |
|---|---|
| Midjourney | Model version, generation parameters, prompt |
| DALL·E | OpenAI attribution data |
| Stable Diffusion | Model name, seed, sampler, prompt |
| Adobe Firefly | Adobe metadata and generation flags |
| Leonardo.ai | User ID, model version, prompt |
Metadata practices vary by platform and can change with updates. When in doubt, check the file's raw metadata before publishing.
If you're using AI-generated images in client work, portfolio pieces, stock submissions, or any professional context, clean the metadata before distribution. It's a 30-second step that prevents confusion, protects your intent, and gives you full control over how your work is identified.
Ready to clean your images now?
Try Calabi free at calabilabs.com — 3 cleans, no card.