WaveSpeedAI APIWavespeed AIImage Watermark Remover

Image Watermark Remover

Image Watermark Remover

Playground

Try it on WavespeedAI!

Intelligently detects and removes text and logo watermarks while preserving texture and background for natural, artifact-free images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

WaveSpeedAI — AI Image Watermark Remover

The AI Image Watermark Remover is a precision inpainting model designed to remove text, logos, or unwanted marks from your photos and artworks. Powered by WaveSpeedAI’s next-generation visual reconstruction engine, it restores the occluded background with natural detail and color continuity.


⚙️ Key Features

  • Smart Watermark Detection
    Automatically identifies watermarks, text overlays, or logos across images.

  • High-Fidelity Restoration
    Reconstructs occluded areas with realistic background textures and tones.

  • Multi-Zone Editing Support
    Remove multiple regions in a single pass — perfect for batch cleanup.

  • Preserve Artistic Integrity
    Retains lighting, color, and composition to ensure natural visual balance.

  • Flexible Output Formats
    Export results in JPEG, PNG, or WEBP format.

  • Fast Processing
    Optimized for WaveSpeedAI inference clusters, ensuring near-instant cleanup even for high-resolution images.


  • Removing watermarks or timestamps from photos
  • Cleaning logos or marks from AI-generated images
  • Restoring old artworks or scanned prints
  • Preparing marketing or e-commerce visuals for reuse

💰 Pricing

Each run costs $0.012 — pay only for what you use.


📝 Notes

  • Avoid uploading images that contain copyrighted logos unless you own the rights.
  • Works best when the watermark area is not excessively large or opaque.
  • For highly complex overlays, try the Ultimate Image Eraser for enhanced reconstruction quality.

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/wavespeed-ai/image-watermark-remover" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# 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 image to generate an image from.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

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

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