Video Watermark Remover | AI Background & Object Remover API

AI Video Watermark Remover

Remove Sora 2 watermarks, logos, captions, lower-thirds, and other unwanted on-screen text—while preserving the original look of your footage. Upload your video and get a clean result with minimal artifacts. If you need upscaling instead, try our AI Video Upscaler. No local setup required!

Why it looks great

Temporal-aware inpainting: avoids flicker, keeps motion stable across frames.
Clean plate reconstruction: rebuilds occluded details (textures, grain, lighting) beneath watermarks and captions.
Smart text/logo targeting: robust to semi-transparent overlays, moving corner bugs, ticker bars, and burned-in subs.
Edge & texture fidelity: preserves edges and fine detail without smearing or over-smoothing.
Adaptive masking: optional user hints accelerate and improve results on complex, fast-moving overlays.

Limits and Performance

Max clip length per job: up to 10 minutes
Processing speed: approximately 5–20 seconds of wall time to process 1 second of video (varies by overlay complexity, resolution, and queue load)

Pricing

Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.

Task	Cost per 5 seconds
Watermark Removal	$0.05

Billing Rules

Minimum charge: 5 seconds
Per-second rate = (price per 5 seconds) ÷ 5
Billed duration = video length in seconds (rounded up), with a 5-second minimum
Total cost = billed duration × per-second rate

How to Use

Upload video: Upload the video you want to deal with.
Submit the job: Click the Run button.
Preview & download: review the cleaned clip and download it.

Notes

Longer videos will require longer processing times.
Please ensure your video upload format and URL are correct.
The price displayed on the "Run" button is only an estimated reference; the final, accurate price will be based on the actual deduction.

Video Watermark Remover API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-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 Video Watermark Remover below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4"
}'

# 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/video-watermark-remover", {
        "video": "https://example.com/your-input.mp4"
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/video-watermark-remover",
    {
    "video": "https://example.com/your-input.mp4"
}
)

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

Video Watermark Remover API — Frequently asked questions

What is the Video Watermark Remover API?

Video Watermark Remover is a WaveSpeedAI model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Remove Kling and Seedance watermarks, logos, captions and text from videos while preserving quality; supports many formats and 10-minute files. 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 Video 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/video-watermark-remover.

How much does Video Watermark Remover cost per run?

Video Watermark Remover starts at $0.050 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 Video Watermark Remover accept?

Key inputs: `video`. 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/video-watermark-remover.

How long does Video Watermark Remover take to generate?

Average end-to-end generation time on WaveSpeedAI is around 231 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Video 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.

EsempiVedi tutto

Modelli correlati

README