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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.

video-to-video
Input
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Idle

$0.2per run·~50 / $10

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Video Cleaner

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.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Video Cleaner API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-cleaner with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Video Cleaner below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_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 "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-cleaner";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "target_resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "target_resolution": "720p"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/video-cleaner", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Video Cleaner API — Frequently asked questions

What is the Video Cleaner API?

Video Cleaner is a WaveSpeedAI model for video editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Video Cleaner 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/video-cleaner.

How much does Video Cleaner cost per run?

Video Cleaner starts at $0.20 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 Cleaner accept?

Key inputs: `prompt`, `video`, `seed`, `target_resolution`. 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-cleaner.

How do I get started with the Video Cleaner API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Video Cleaner 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.

Video Cleaner | AI Clean Plate Video API on WaveSpeedAI