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Image generators · Leonardo

Prepare a Leonardo image export

Review a Leonardo export before creating a cleaned image copy.

Supported stored metadata through image re-encoding.

A finished file. A reviewed copy.

Prepare the exact asset you intend to use.

  1. Choose the Leonardo file

    Save the final rendered image after finishing the variations you want to keep.

  2. Review what changes

    Read the supported findings before cleaning. A full clean removes supported camera, location, editing and provenance records. Use GPS-only cleaning when you need to retain other camera settings.

  3. Inspect the downloaded copy

    Check texture, composition and any visible product labels in the sharing copy.

Know the output before you start.

This workspace accepts JPG, PNG, and WebP still images. Up to 30 files, 15 MB each, and no more than 50 megapixels. Animated PNG and WebP are rejected.

JPG, PNG, and WebP stay in the same format. The copy is re-encoded, so compression and color can change. A HEIC still uses the separate HEIC cleaner. A video uses the video cleaner. This workspace does not extract frames from a video.

JPG, PNG, WebP
New copy in the same image format

An illustrative workflow

leonardo-packaging-concept.jpg

Save the final rendered image after finishing the variations you want to keep.

Example only. No file has been scanned until you choose one.

Source
Your finished Leonardo still image
Action
Inspect, then create a full metadata-cleaned copy
Review
Check texture, composition and any visible product labels in the sharing copy.
Keep
The original and any project or attribution record you need

Before your next export or upload.

Answers for this export workflow.

Which Leonardo file should I choose?

Save the final rendered image after finishing the variations you want to keep.

What should I check after preparing my Leonardo image?

Check texture, composition and any visible product labels in the sharing copy.

Does this edit my original Leonardo project?

No. Keep the project, original download and attribution records separately. This workspace creates a new raster image; it does not edit layered, vector or video projects.

Does a clean metadata report prove an image is not AI-generated?

No. Metadata can be absent, edited or forged. Cleaning stored fields does not remove invisible watermarks, erase visible text or logos, establish authenticity, or guarantee how a platform labels an upload.

Another file to prepare?

Explore the directory