Browse ModelsIdeogram AIIdeogram AI Ideogram V3 Remove Text

Ideogram Ai Ideogram V3 Remove Text

Ideogram Ai Ideogram V3 Remove Text

Playground

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Ideogram V3 Layerize Text separates flat graphic images into editable layers, extracting text and background for professional design workflows. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

Ideogram V3 Layerize Text

Ideogram V3 Layerize Text separates the text layer from the background in any image, returning the text as a clean transparent PNG ready for editing, replacement, or compositing. Upload an image with text and get back an isolated text layer in seconds.


How to Use

  1. Upload your image — provide any image containing text via URL or drag-and-drop.
  2. Submit — the model extracts and isolates the text layer with a transparent background.
  3. Download your clean text layer PNG ready for compositing or editing.

Pricing

Just $0.09 per image.


Best Use Cases

  • Design editing — Extract text from existing designs to reuse, reposition, or restyle it independently.
  • Localization & translation — Remove original text from images cleanly before replacing it with translated content.
  • Template creation — Strip text from branded assets to create reusable background templates.
  • Typography workflows — Isolate text elements for use in compositing, motion graphics, or print layouts.

Notes

  • image is the only required field.
  • Output is a PNG file with a transparent background containing only the isolated text layer.
  • Ensure image URLs are publicly accessible if using a link rather than a direct upload.
  • Please ensure your content complies with Ideogram’s usage policies.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v3/remove-text" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The flat graphic image to layerize. Supports JPEG, PNG, or WebP (max 10MB).

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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