WaveSpeedAI APIWavespeed AIVideo Watermark Remover

Video Watermark Remover

Video Watermark Remover

Playground

Try it on WavespeedAI!

The AI Video Watermark Remover is our flagship model designed to remove Sora 2 watermarks, logos, captions, and unwanted text from videos without compromising quality. Supporting a wide range of formats, it’s fast, efficient, and processes with the highest quality. Whether your video is a few seconds or several minutes long, we can handle it all. Our endpoint starts with $0.05 per 5 seconds video and supports a maximum video duration of 10 minutes.

Features

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.

TaskCost 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

  1. Upload video: Upload the video you want to deal with.
  2. Submit the job: Click the Run button.
  3. 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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
videostringYes-The video for generating the output.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

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