Image Watermark Remover | AI Background & Object Remover API

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.

💡 Recommended Use Cases

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.

Image Watermark Remover API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/image-watermark-remover with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Image Watermark Remover below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-watermark-remover" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/image-watermark-remover", {
        "image": "https://example.com/your-input.jpg",
        "output_format": "jpeg",
        "enable_base64_output": false,
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/image-watermark-remover",
    {
    "image": "https://example.com/your-input.jpg",
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Image Watermark Remover API — Frequently asked questions

What is the Image Watermark Remover API?

Image Watermark Remover is a WaveSpeedAI model for object / watermark removal, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Image Watermark Remover API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/image-watermark-remover.

How much does Image Watermark Remover cost per run?

Image Watermark Remover starts at $0.015 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Image Watermark Remover accept?

Key inputs: `image`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/image-watermark-remover.

How long does Image Watermark Remover take to generate?

Average end-to-end generation time on WaveSpeedAI is around 9 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Image Watermark Remover outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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