Video Cleaner API Documentation

Video Cleaner API Documentation

Playground

Try it on WaveSpeedAI!

Video Cleaner removes people, vehicles and other moving subjects from a video and rebuilds the background behind them, producing a clean plate of the same shot with the camera motion intact. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Get a clean plate from any shot. Video Cleaner removes people, pedestrians, vehicles and other moving subjects from a video and rebuilds the background behind them, keeping the camera movement, the static scene and the lighting exactly as they were. No masks to draw: upload the clip and the moving subjects are gone.


What It Does

  • Removes moving subjects People, crowds, cars, bikes and other dynamic elements are taken out across the whole frame.

  • Rebuilds the background Architecture, ground markings, foliage and street furniture are reconstructed where the subjects used to be, frame-consistent across the clip.

  • Keeps the shot Same framing, same camera motion, same length. Works with static and moving cameras.


Parameters

ParameterRequiredDescription
videoYesInput video (URL or upload). Up to 2 minutes is processed.
promptNoExtra objects that must also disappear, comma-separated (e.g. “bicycle, dog”)
target_resolutionNoOutput resolution: 480p, 720p, 1080p (default: 720p). Aspect ratio is preserved.
seedNoSeed for reproducible results

Pro Tips

  • Removal works best when the subject leaves enough background visible around it. A subject that fills the centre of the frame (a first-person torso, a car filling the shot) leaves too little to rebuild.
  • If a specific object survives, name it in prompt (e.g. “bicycle, handlebars”).
  • For advertising plates, run the clip once, then composite your product onto the clean result.

Limits and Performance

  • Max clip length per job: 2 minutes (longer input is truncated)
  • Processing speed: roughly 8 seconds of wall time per second of video at 720p, about 20 seconds per second at 1080p

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. Input beyond 2 minutes is not processed and not billed.

Per-second billing with a 3-second minimum. The table below lists prices per 5 seconds for easy comparison.

Output ResolutionCost per 5 seconds
480p$0.10
720p$0.20
1080p$0.50

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, capped at 120 seconds
  • Total cost = billed duration × per-second rate (by output resolution)

Notes

  • Video is the only required field.
  • Maximum processed video length per job: 2 minutes.
  • Ensure video URLs are publicly accessible.

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",
  "target_resolution": "720p"
}
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-cleaner" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 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|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
videostringYes-The video to clean. Works best when the subjects to remove leave enough background visible around them; up to 2 minutes is processed (longer input is truncated).
promptstringNo-Optional. Extra objects that must also disappear, comma-separated (for example "bicycle, dog"). People and vehicles are removed by default.
target_resolutionstringNo720p480p, 720p, 1080pOutput resolution. The input aspect ratio is preserved; output is never larger than the input.
seedintegerNo--The seed for random number generation. Omit for a random seed.

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.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
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
© 2026 WaveSpeedAI. All rights reserved.