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Video Eraser

wavespeed-ai /

Remove unwanted objects, people, or elements from videos while preserving quality; supports many formats and 10-minute files. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

ai-remover
Entrada

Arrastra y suelta o haz clic para subir

Sugerencia: puedes arrastrar y soltar un archivo o hacer clic para subir

mask

Inactivo

$0.1por ejecución·~10 / $1

EjemplosVer todo

flower

compass

Modelos relacionados

README

WaveSpeedAI Video Object Remover

WaveSpeedAI Video Object Remover is a video inpainting model that removes unwanted objects, people, logos, and watermarks from your clips. You provide a video, a binary mask indicating the region to edit, and an optional text prompt that describes what should be removed. The model fills the masked area with temporally consistent background content, producing a clean, natural-looking result.

Key Features

  • Object / person / watermark removal from video
  • Mask-based control over the exact region to edit
  • Optional text prompt to clarify what should be removed
  • Temporally consistent inpainting to avoid flicker
  • Ideal for static overlays, logos, subtitles, and watermarks
  • Supports typical short-form and mid-length videos

Pricing

  • Minimum charge: $0.10 for any clip up to 5 seconds.
  • Effective rate: $0.02 per second for durations above 5 seconds, capped at 600 seconds (10 minutes).
  • Clips longer than 600 seconds are billed as if they were 600 seconds.

Example costs:

DurationTotal price
5 s$0.10
10 s$0.20
20 s$0.40
60 s$1.20
600 s$12.00

How to Use

  1. Upload your video.
  2. Prepare and upload a mask_image where the area to remove is white and everything else is black.
  3. (Optional) Enter a short prompt describing what to remove and the surrounding context.
  4. Submit the job.
  5. Review the preview and download the cleaned video from the WaveSpeedAI dashboard.

Tips for Best Results

  • Use a precise mask that closely hugs the unwanted object.
  • For static watermarks or corner logos, limit the mask to just that overlay area.
  • Keep clips reasonably short when editing fast motion or complex scenes.
  • If artifacts appear, try tightening the mask, shortening the clip, or simplifying the prompt.
  • It works better for removing static objects or watermarks. If the people in the video are moving too much, the effect may be greatly reduced.

Remove Anything Tool box:

  • Image Eraser – fast, general-purpose image inpainting that cleanly removes objects while preserving local texture and lighting.
  • BRIA Eraser – premium semantic eraser that intelligently understands scene context for high-fidelity, artifact-free edits.
  • Video Watermark Remover – temporally consistent video inpainting that removes logos and overlays without flicker across frames.
  • Image Watermark Remover – targeted watermark and logo cleaner optimized for text, corner badges, and overlay graphics.
Accesibilidad:Este sitio web utiliza modelos de IA proporcionados por terceros.

Video Eraser API — Quick start

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

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-eraser" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}'

# 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-eraser", {
        "video": "https://example.com/your-input.mp4",
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/video-eraser",
    {
    "video": "https://example.com/your-input.mp4",
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)

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

Video Eraser API — Frequently asked questions

What is the Video Eraser API?

Video Eraser is a WaveSpeedAI model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Remove unwanted objects, people, or elements 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 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/video-eraser.

How much does Video Eraser cost per run?

Video Eraser starts at $0.10 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 Eraser accept?

Key inputs: `prompt`, `video`, `mask_image`. 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-eraser.

How long does Video Eraser take to generate?

Average end-to-end generation time on WaveSpeedAI is around 174 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 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.