DALL-E vs Midjourney vs Stable Diffusion
March 17, 2026
DALL-E / ChatGPT (OpenAI)
What it embeds: OpenAI exports typically include C2PA . C2PA is a cryptographic provenance standard that platforms scan for explicitly. DALL-E images may also carry XMP and EXIF software tags identifying the tool.
Why it matters: C2PA is one of the strongest triggers for AI labels. Platforms are tuned to detect it. Removing C2PA (and any XMP/EXIF) from DALL-E exports is usually enough to stop the label.
Format: Exports are often PNG or JPEG. Metadata lives in standard EXIF/XMP and in C2PA manifests. A tool that strips C2PA, XMP, and EXIF handles DALL-E outputs well.
Midjourney
What it embeds: Midjourney writes XMP generation parameters - creator tool, model version, seed, and sometimes prompt-related data. PNG exports can include additional chunks. EXIF software fields often reference Midjourney.
Why it matters: Platforms look for XMP AI tags and EXIF software identifiers. Midjourney doesn't use C2PA by default, so the main triggers are XMP and EXIF. Stripping both removes the signal.
Format: PNG and JPEG. Metadata is mostly XMP + EXIF. Some PNGs have extra chunks. A remover that handles XMP, EXIF, and PNG text chunks covers Midjourney.
Stable Diffusion (including ComfyUI, Automatic1111)
What it embeds: The most metadata-heavy of the three. PNG text chunks (tEXt, iTXt) often contain full workflow data: prompt, negative prompt, seed, steps, CFG, model name. XMP and EXIF are also common. ComfyUI may embed node/graph data.
Why it matters: Platforms scan for both XMP and PNG chunks. Stable Diffusion's chunk data is a direct signal. Removal must strip PNG chunks as well as XMP/EXIF, or the label can still appear.
Format: PNG is common; JPEG is less so. For PNG, a tool that removes PNG text chunks in addition to EXIF/XMP/C2PA is important.
Side-by-side summary
Tool
Main metadata
Strongest trigger
Removal focus
DALL-E
C2PA, XMP, EXIF
C2PA
Strip C2PA + XMP + EXIF
Midjourney
XMP, EXIF, PNG chunks
XMP
Strip XMP + EXIF (and chunks)
Stable Diffusion
PNG chunks, XMP, EXIF
PNG chunks + XMP
Strip chunks + XMP + EXIF
One workflow for all three
Use a single metadata remover that supports:
- C2PA removal (for DALL-E and any C2PA-enabled export)
- XMP stripping (all three)
- EXIF stripping (all three)
- PNG text chunk removal (Midjourney PNGs, all Stable Diffusion PNGs)
Process your export once before uploading. The same workflow works for DALL-E, Midjourney, and Stable Diffusion; the tool just needs to handle all the formats each can write.
Summary
DALL-E leans on C2PA; Midjourney on XMP and EXIF; Stable Diffusion on PNG chunks plus XMP and EXIF. Platforms use all of these to apply AI labels. A remover that strips C2PA, XMP, EXIF, and PNG chunks handles all three. For a free, in-browser option that removes these markers from DALL-E, Midjourney, and Stable Diffusion exports, you can use Remove AI Label before you post - no account needed, and files are processed locally.
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