Midjourney Metadata
March 10, 2025
What Metadata Midjourney Adds
Midjourney writes several types of metadata into PNG and JPEG exports:
- XMP Creator Tool - Identifies Midjourney as the source
- XMP generation parameters - Model version, seed, and sometimes prompt fragments
- EXIF software tags - Camera/software fields that reference the generator
- PNG text chunks - In PNG files, additional metadata blocks
When platforms scan your file, they look for these markers. Finding them, they apply the AI label automatically.
Why It Matters for Creators
If you sell AI art on Etsy, post to Pinterest, or run an Instagram account, the AI label can:
- Reduce perceived authenticity
- Affect reach or distribution on some platforms
- Trigger restrictions on Pinterest and similar sites
Removing the metadata before upload gives you control over how your work is presented.
How to Remove Midjourney Metadata
The process is straightforward:
- Download your image from Midjourney (or upscale first, then download)
- Upload to a metadata removal tool - Choose one that strips XMP, EXIF, and PNG chunks
- Download the cleaned file
- Upload to your platform - The AI label should not appear
Browser-based tools process images locally; your files never leave your device. No account required for the first few images per day.
What to Strip
For Midjourney images, ensure the tool removes:
- XMP tags - Creator tool, generation parameters, model info
- EXIF data - Software and device fields
- PNG text chunks - If using PNG format
- C2PA - If Midjourney adds it in future updates
Does This Affect Quality?
No. Metadata is stored separately from image pixels. Removing it does not change resolution, color, or detail. File size may decrease slightly.
Important Caveats
- Pixel-level watermarks (if any) cannot be removed by metadata stripping
- Platform detection may evolve; results can vary
- Use only on images you own or have rights to
For a free, browser-based tool that strips Midjourney metadata before upload, try Remove AI Label -no account needed to start.
Upload workflow notes
Many creators chain camera → editor → design app → social . Each export can re-embed C2PA or XMP . Spot-check one hero file in the metadata checker before batch cleaning.
The AI metadata remover handles up to 30 images per browser session. Name cleaned files clearly (e.g. Social_Ready ) so teams do not re-upload older exports with manifests.
Carousels and ads
For carousels and ad sets , every slide must be cleaned. One contaminated frame can trigger platform AI labels on the whole post. Verify a sample before scheduling.
Limits
Metadata cleaning targets file-level labels, not pixel watermarks. Follow each platform disclosure policy. See disclaimer .
Agency and team workflow
For agencies and creator teams: keep RAW internal; only cleaned JPGs go to social or clients. After Adobe, Canva, or Meta AI updates, spot-check one export in the metadata checker .
Carousels: verify every slide. Ad sets: one contaminated frame can label the whole post.
Legal: metadata cleaning does not replace platform AI Info duties. See disclaimer . Tool: AI metadata remover .
Upload workflow (2026)
Many creators chain camera → editor → design app → social . Each export can re-embed C2PA or XMP . Spot-check one hero file in the metadata checker before batch cleaning.
The AI metadata remover handles up to 30 images per browser session. Name cleaned files clearly (e.g. Social_Ready ) so teams do not re-upload older exports with manifests.
Carousels, ads, and client delivery
For carousels and ad sets , every slide must be cleaned. One contaminated frame can trigger platform AI labels on the whole post. Wedding, product, and real-estate photographers should deliver metadata-clean masters to clients - not RAW files with C2PA from Lightroom or Photoshop.
Platform notes
On Instagram , Pinterest , and TikTok , file-level C2PA/XMP is a common trigger for AI Info and Made with AI . Cleaning before upload addresses metadata-driven labels - not pixel watermarks or invisible scoring.
Team checklist
Keep RAW internal; only cleaned JPGs go to social or clients. After Adobe, Canva, or Meta AI updates, run one test export through the checker. Verify a sample before scheduling carousels.
Limits and compliance
Metadata stripping does not replace platform AI Info duties or legal requirements. Use only on files you own. See disclaimer .
Why metadata keeps coming back
Every save from Canva , CapCut , Lightroom , or Photoshop can rewrite provenance blocks. Re-clean before each upload wave - especially when clients re-export from design tools.
Batch naming convention
Use folders like Client_Delivery_Clean and Social_Ready so nobody uploads an older manifest-heavy export by mistake. The checker is fastest on one representative file per batch.
Final reminder
File-level cleaning helps when labels are metadata-driven. Follow each network's transparency rules - disclaimer .
Common mistakes after cleaning
Creators often clean once, then re-export from Canva or send files through WhatsApp - that can re-embed C2PA. Run the checker again on the exact file you will upload.
When labels persist
If AI Info or Made with AI remains after metadata removal, the trigger may be pixel-based (e.g. SynthID) or heuristic - not C2PA/XMP. See our disclaimer and platform policy pages.
Quick links
- Free metadata remover - up to 30 images per batch
- Instagram hub - file-level label workflow
- Blog: C2PA explained
Upload workflow (2026)
Many creators chain camera → editor → design app → social . Each export can re-embed C2PA or XMP . Spot-check one hero file in the metadata checker before batch cleaning.
The AI metadata remover handles up to 30 images per browser session. Name cleaned files clearly (e.g. Social_Ready ) so teams do not re-upload older exports with manifests.
Carousels, ads, and client delivery
For carousels and ad sets , every slide must be cleaned. One contaminated frame can trigger platform AI labels on the whole post. Wedding, product, and real-estate photographers should deliver metadata-clean masters to clients - not RAW files with C2PA from Lightroom or Photoshop.
Platform notes
On Instagram , Pinterest , and TikTok , file-level C2PA/XMP is a common trigger for AI Info and Made with AI . Cleaning before upload addresses metadata-driven labels - not pixel watermarks or invisible scoring.
Team checklist
Keep RAW internal; only cleaned JPGs go to social or clients. After Adobe, Canva, or Meta AI updates, run one test export through the checker. Verify a sample before scheduling carousels.
Limits and compliance
Metadata stripping does not replace platform AI Info duties or legal requirements. Use only on files you own. See disclaimer .
Remove metadata before upload
Inspect, strip C2PA/XMP in browser, upload cleaned file.
- Save export - Export JPG or PNG from your edit flow.
- Inspect metadata - Optional: check C2PA/XMP in the metadata checker.
- Clean and upload - Strip C2PA/XMP and publish the cleaned copy.
Frequently Asked Questions
Does metadata removal change pixels?
No - metadata is separate from image data.
Will this remove AI Info labels?
For metadata-driven labels, strip C2PA/XMP before upload.
Are files uploaded to a server?
Remove AI Label processes images locally in the browser.
How many images per batch?
Up to 30 images per browser session. Remove AI Label Team