Image Text Remover | AI Background & Object Remover API

WaveSpeedAI Image Text Remover

Remove unwanted text from any image with pixel-level reconstruction. WaveSpeedAI Image Text Remover automatically finds text regions and rebuilds the underlying background so the edit looks natural — no blurry blocks, no jagged edges.

What is it?

WaveSpeedAI Image Text Remover is an end-to-end image cleanup tool:

Input: an image containing text (captions, labels, subtitles, UI text, stickers, overlays)
Output: a clean image with the text removed and background filled in
Workflow: text detection → intelligent mask generation → background inpainting

It’s designed for cleaning social posts, product photos, posters, screenshots, UI/UX mockups, marketing materials, and any image you want to reuse without visible text.

Why it stands out

High-fidelity inpainting Reconstructs texture, lighting, depth, and structure to blend the edited area into the original scene with minimal artifacts.
Fully automatic workflow Just upload your image and run the model—no need for manual masking, brushing, or Photoshop skills.
Text-focused cleanup Works especially well on captions, subtitles, labels, annotations, and embedded UI strings; also effective on many watermarks and overlays.
Flexible output formats Choose JPEG, PNG, or WEBP so the result fits directly into your web, app, or design pipeline.
Batch and API friendly Suitable for e-commerce asset cleanup, marketing automation, dataset preparation, and production-scale image processing.

Limits and performance

Input formats: JPEG, PNG, WEBP
Output formats: JPEG / PNG / WEBP (selectable)
Typical processing time: a few seconds per image, depending on resolution and queue load
Best cases: clearly readable text that is not extremely stylized or heavily blended into complex textures

Pricing

Each processed image costs $0.15.

How to use

Upload an image or paste a publicly accessible image URL.
Choose your preferred output_format (JPEG, PNG, or WEBP).
Click run to start automatic text detection and removal.
Download your cleaned, text-free image from the result panel or dashboard.

Pro tips for best quality

Use the highest-resolution version of the image you have; more pixels mean better inpainting.
Flat or simple backgrounds are easiest to reconstruct; complex patterns may occasionally need light manual touch-up.
For semi-transparent watermarks or overlays, higher resolution and good contrast between text and background improve results.

Notes

If you provide an image URL instead of uploading, make sure it is publicly accessible; a valid image will show a preview before you run the job.
Extremely stylized, warped, or deeply textured text may not be removed perfectly in one pass.

Related tools

WaveSpeedAI Image Translator: Translate on-image text into 30+ languages while preserving layout.
WaveSpeedAI Image Eraser: General-purpose object removal and background reconstruction for non-text elements.

Image Text Remover API — Quick start

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

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-text-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-text-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-text-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 Text Remover API — Frequently asked questions

What is the Image Text Remover API?

Image Text Remover is a WaveSpeedAI model for object / watermark removal, exposed as a REST API on WaveSpeedAI. AI Image Text Remover that erases on-image text cleanly and reconstructs the background with stunning visual accuracy. Automatically removes captions, labels, subtitles, watermarks, annotations, or embedded UI text while preserving texture, lighting, and scene integrity. Ready-to-use REST inference API, fast performance, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Image Text 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-text-remover.

How much does Image Text Remover cost per run?

Image Text Remover starts at $0.15 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 Text 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-text-remover.

How long does Image Text Remover take to generate?

Average end-to-end generation time on WaveSpeedAI is around 109 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 Text 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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