Layerize takes any flat graphic image and breaks out its embedded text into organized, editable layers you can actually work with. If you have lost the source file to a finished design, or inherited a flat asset that needs new copy, this model removes the manual guesswork. It returns the text, structured and ready, while leaving the graphic behind as a clean base. The model recognizes text at four hierarchy levels: main headings, secondary headings, body copy, and small print. You can specify font names for each level before running, so the output fits directly into your existing type system. A prompt input lets you steer how the layers are interpreted and recomposed, which means you get structured output, not just a raw character dump. Designers rebuilding old campaign materials, agencies translating content into new markets, and anyone handed a flat file with no editables will find this model cuts hours of manual work. Drop in the graphic, get back the layers, and take them wherever you need to go.
Layerize takes a flat graphic and pulls its text content out as individual, editable layers you can update, translate, or recompose. Designers and content teams often receive finished artwork as a single flattened file, with no way to change the copy without rebuilding the design from scratch. On Picasso IA, Layerize solves that problem by reading the graphic, identifying each block of text, and returning it as structured layers with the original position and hierarchy preserved. Whether you are localizing an ad banner into five languages or refreshing a product label, you get the raw material to do it without touching the original source file.
Do I need programming skills or technical knowledge to use this? No, just open Layerize on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, you can run Layerize without a paid subscription to test it on your own graphics. Check the plan details page for current generation limits.
What image formats can I upload? Layerize accepts JPEG, PNG, and WebP files up to 10 MB. PNG files with transparent backgrounds are supported, which helps if your graphic will be placed on different colored surfaces later.
Can I control which fonts appear in the output? Yes. You can specify a font name for each text level: heading 1, heading 2, body, and small text. Leave any field blank and the model will choose based on what it detects in the original image.
How accurate is the text extraction? Accuracy depends on the clarity of the source image and the contrast between text and background. Clean, high-contrast graphics with standard typography tend to produce the most reliable layer separation. Very stylized or heavily textured text may require a second pass with a more descriptive prompt.
What can I do with the structured layers? You can update copy, translate text into another language, swap fonts, or rebuild the layout entirely. This makes Layerize practical for any workflow where you need to edit a finished graphic without the original source file.
Everything this model can do for you
Pulls all embedded text out of a flat graphic image without altering the background behind it.
Automatically categorizes detected text into heading, subheading, body, and small-text layers.
Lets you specify font names for each text level before the run so output fits your type system.
Accepts a text prompt to direct how layers are structured and recomposed during processing.
Processes JPEG, PNG, and WebP files up to 10MB with no conversion step needed.
Set a seed value to get identical layer structure every time you run the same graphic.
Returns the original graphic with all text stripped out, ready to use as a standalone base.
