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Image Eraser

wavespeed-ai /

Powerful AI Image Eraser removes objects, people, or text and reconstructs backgrounds with natural detail and consistent lighting. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

ai-remover
Input

Drag & drop करें या upload के लिए click करें

preview

Tip: आप एक file को drag and drop कर सकते हैं या click करके upload कर सकते हैं

mask
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
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.

Idle

$0.025per run·~40 / $1

ExamplesView all

Related Models

README

WaveSpeedAI — Ultimate AI Image Eraser

The AI Image Eraser is a professional-grade inpainting model that removes unwanted objects, text, or people from your photos — while perfectly reconstructing the background with natural detail and texture. Built on WaveSpeedAI’s next-generation visual restoration engine, it ensures seamless results indistinguishable from the original image.

⚙️ Key Features

  • Precision Object Removal Erase unwanted subjects, logos, or blemishes with pixel-perfect accuracy.

  • Context-Aware Reconstruction Rebuilds erased regions using AI-driven scene understanding to restore lighting, shadows, and depth.

  • Multi-Region Editing Remove several areas at once — ideal for complex photo cleanups.

  • High-Resolution Support Works with HD, 2K, and 4K images without visible loss in quality.

  • Fast & Reliable Optimized for WaveSpeedAI’s accelerated inference clusters for near-instant output.

💡 Recommended Use Cases

  • Removing people or objects from travel and portrait photos
  • Cleaning up AI-generated images or artwork
  • Erasing unwanted text, timestamps, or blemishes
  • Preparing product or marketing visuals for reuse

💰 Pricing

Each run costs $0.025 — pay only for what you erase.

📝 Notes

  • Works best when the selected area has enough surrounding context.
  • Outputs are available in JPEG, PNG, or WEBP format.
Accessibility:This website uses AI models provided by third parties.

Image Eraser API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/image-eraser 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 Eraser below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-eraser" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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-eraser", {
        "image": "https://example.com/your-input.jpg",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "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-eraser",
    {
    "image": "https://example.com/your-input.jpg",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

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

Image Eraser API — Frequently asked questions

What is the Image Eraser API?

Image Eraser is a WaveSpeedAI model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Powerful AI Image Eraser removes objects, people, or text and reconstructs backgrounds with natural detail and consistent lighting. 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 Eraser 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-eraser.

How much does Image Eraser cost per run?

Image Eraser starts at $0.025 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 Eraser accept?

Key inputs: `prompt`, `image`, `enable_base64_output`, `enable_sync_mode`, `mask_image`, `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-eraser.

How long does Image Eraser take to generate?

Average end-to-end generation time on WaveSpeedAI is around 23 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 Eraser 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.