Video Watermark Remover API Documentation

Video Watermark Remover API Documentation

Playground

Try it 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.

Features

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

> Billing duration: Input media duration is rounded up to whole seconds. The minimum billed duration is 3 seconds; shorter inputs are billed as 3 seconds. Existing per-5-second rate tables remain unchanged.

Per-second billing with a 3-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: 3 seconds
  • Per-second rate = (price per 5 seconds) ÷ 5
  • Billed duration = video length in seconds (rounded up), with a 3-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

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
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

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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