Ideogram Layerize Text
Extract editable text layers and a text-erased base image from design visuals
Ideogram Layerize Text
Extract editable text layers and a text-erased base image from design visuals
Ideogram Layerize Text Overview
Ideogram Layerize Text analyzes an image, detects readable text regions, and turns each line into structured editable text blocks with position, styling, and font information. It also returns a text-erased base image, making it useful for posters, social graphics, packaging, book covers, and other design workflows where copy needs to change without regenerating the whole composition.
How to Use Ideogram Layerize Text
Overview
Ideogram Layerize Text is a design-focused utility model that extracts editable text layers from an image.
Instead of leaving typography baked into a flat raster output, it detects text regions and returns structured text blocks along with a text-erased base image. This makes it useful for design iteration workflows where the layout should stay intact while the wording, font choices, or text sizing change.
Strengths
Editable Text Extraction
The model turns detected text into structured text blocks that can be selected, rewritten, resized, and restyled outside the original flat image.
Text-Erased Base Image
Layerize Text also returns a base image with the detected text removed. This makes it easier to rebuild the design with editable typography while preserving the surrounding visual composition.
Design Workflow Utility
The model is especially useful for posters, book covers, social graphics, packaging, flyers, merch graphics, and other typography-driven visuals where the design should survive copy changes.
No Regeneration Required
A typo fix, copy rewrite, font swap, or localized headline can be handled without rerunning a full image generation workflow.
Structured Styling Data
The returned text blocks include details such as text content, positioning, alignment, font information, color, formatting, and role labels, which makes the output useful in programmatic design systems and editing pipelines.
Capabilities
Image-to-Text
The model extracts text content and structured text-layer metadata from an image.
Image-to-Image
The model returns a text-erased base image that can be used to rebuild or edit the design with separate typography layers.
Input and Output
- AIR ID:
ideogram:layerize-text@0 - Input: an image in JPEG, PNG, or WebP format
- Output: structured text blocks plus a text-erased base image
- Best with: clear, straight, conventional typography
Best Fit
- Poster and flyer workflows
- Social media design iteration
- Packaging and label updates
- Book cover copy changes
- Programmatic design pipelines
- Localization and copy testing
More models from Ideogram
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Ideogram 3.0 Remix lets you rework existing images into new styles while it preserves layout and composition. Use it to test creative variants, adjust palettes, or adapt designs for new campaigns. Ideal for A/B testing, rapid iteration, and brand safe visual updates.
Ideogram 3.0 Reframe performs style consistent outpainting that extends images beyond their borders. It adapts visuals to new aspect ratios without breaking composition or look. Ideal for repurposing creative, social posts, and design assets for varied formats.
Ideogram 3.0 is a text to image model for high fidelity design work. It improves text rendering, complex layout handling, and photorealism. It also adds stronger style controls and supports editing tasks like inpainting and background replacement for production workflows.
Ideogram 2a is a fast text to image model built for layouts that need clear structure and legible text. It improves prompt following, spatial control, and subject placement. Use it for graphic design workflows, product shots, logos, posters, and quick visual iterations through the API.
Ideogram 2.0 Remix lets you rework existing images while preserving structure and layout. Change styles or mood, adjust composition, and iterate quickly from a reference image. Ideal for designers who need fast visual variants and style exploration from prior outputs.
Ideogram 2.0 Edit enables localized inpainting on generated or uploaded images. Select a region, adjust the prompt, and refine logos or text without altering the rest of the frame. Ideal for brand assets, layout tweaks, and fast correction workflows in production apps.
Ideogram 2.0 Reframe expands existing images with clean outpainting that respects layout and typography. Grow posters or complex compositions to new aspect ratios while preserving style. Ideal for marketing assets, print ready layouts, and large format graphics.
Ideogram 2.0 is a frontier text to image model with strong typography control, improved rendering quality, and better layout consistency. It suits branding workflows, posters, and production design where legible stylized text and precise graphic composition matter to developers.
Ideogram 1.0 is a text to image model that focuses on crisp typography and structured layouts. It generates clean illustrations, bold lettering, and stylized compositions with strong visual clarity. Ideal for logos, posters, and graphic design workflows.
Ideogram 2a Remix lets you reinterpret existing images with controlled style shifts. Feed a base reference image. Generate themed variations, visual transformations, and stylized edits while preserving core layout and content. Ideal for brand updates or creative iterations.
Ideogram 3.0 Replace Background removes and swaps image backgrounds while preserving key foreground subjects. Ideal for product mockups, marketing assets, and design overlays where consistent scenes and fast iteration matter for teams and creators.
Ideogram 1.0 Remix lets you transform existing images with new styles and moods. Provide a reference image with a prompt to iterate on layout or typography. Ideal for brand teams that need fast visual variations from a single base concept.