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wavespeed-ai/video-cleaner

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.

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$0.2per run·~50 / $10

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README

Video Cleaner

Video Cleaner removes people, pedestrians, vehicles, and other moving subjects from a video, then rebuilds the background behind them. It preserves the source video's camera movement, static scene structure, lighting, framing, and duration while creating a cleaner plate for editing, compositing, or restoration workflows.

Why Choose This?

  • Moving-subject removal
    Remove people, crowds, cars, bikes, and other dynamic elements from video footage.

  • Background reconstruction
    Rebuild the background where moving subjects were removed, including architecture, ground details, foliage, and static scene elements.

  • Clean plate generation
    Create cleaner footage for compositing, advertising, restoration, or post-production workflows.

  • Prompt-guided cleanup
    Use prompt to name extra objects that should also be removed.

  • Multiple output resolutions
    Choose 480p, 720p, or 1080p while preserving the original aspect ratio.

  • Seed support
    Set a seed when reproducible cleanup results are needed.

Parameters

ParameterRequiredDescription
videoYesInput video URL or uploaded video. Up to 120 seconds is processed.
promptNoOptional comma-separated list of extra objects to remove, such as bicycle, dog, handlebars.
target_resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p. Aspect ratio is preserved.
seedNoRandom seed for reproducible results.

How to Use

  1. Upload a video — Provide the footage you want to clean.
  2. Add a prompt optional — Name extra objects that should also disappear.
  3. Choose target resolution — Select 480p, 720p, or 1080p.
  4. Set seed optional — Use a fixed seed when reproducibility is needed.
  5. Submit — Generate the cleaned video output.

Pricing

Pricing is based on input video duration and selected target_resolution.

Billed duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 120 seconds.

Output ResolutionPer 5sPer second
480p$0.10$0.02
720p$0.20$0.04
1080p$0.50$0.10

Example Costs

Input DurationBilled Duration480p720p1080p
1s3s$0.06$0.12$0.30
3s3s$0.06$0.12$0.30
5s5s$0.10$0.20$0.50
10s10s$0.20$0.40$1.00
60s60s$1.20$2.40$6.00
120s120s$2.40$4.80$12.00

prompt and seed do not add separate charges.

Best Use Cases

  • Clean plate creation — Remove moving subjects and generate a cleaner background plate.
  • People and crowd removal — Remove pedestrians, crowds, or foreground people from footage.
  • Vehicle removal — Remove cars, bikes, scooters, or other moving vehicles.
  • Advertising workflows — Create clean plates for product compositing or campaign production.
  • Post-production cleanup — Remove unwanted moving elements from short clips.
  • Scene preparation — Prepare cleaner footage before relighting, colorization, restoration, or compositing.

Pro Tips

  • Use footage where the background is visible around the moving subject.
  • Large foreground subjects that cover most of the frame may leave too little background to reconstruct.
  • Use prompt when a specific object remains after the first cleanup pass.
  • Name objects clearly, such as bicycle, dog, car, or person in the background.
  • Use clean source footage with stable motion when possible.
  • Keep the same seed when you want to reproduce a result.
  • For advertising plates, clean the clip first, then composite the product onto the result.

Limits and Performance

  • Maximum processed video length per job: 120 seconds.
  • Input beyond 120 seconds is not processed or billed.
  • Processing time can vary by resolution and video content.
  • Higher output resolutions generally take longer to process.

Notes

  • video is required.
  • target_resolution defaults to 720p.
  • Aspect ratio is preserved.
  • Billed duration is rounded up and clamped to 3–120 seconds.
  • Very short videos are billed as 3 seconds.
  • This endpoint is designed to remove moving subjects and rebuild visible background regions. It is not intended for changing the scene content or extending the video.

Related Models

  • Video Restorer — Restore damaged footage by reducing compression artifacts or improving soft-focus video.
  • Video Colorizer — Add or restore color in video footage for restoration and creative enhancement workflows.
  • Video Cleaner — Clean up video noise, artifacts, and visual imperfections for clearer output.
  • Video Relighter — Adjust or improve video lighting while preserving the original scene and motion.
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 processing, 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 Python, JavaScript, and cURL examples for submitting requests and polling results. 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 $0.2 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). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — wavespeed-ai/video-cleaner for AI agents and LLMs