Video Background Remover Pro API

wavespeed-ai/video-background-remover-pro

Video Background Remover Pro cuts the subject out of any video without a green screen, keeping soft edges such as hair, fur, smoke and sheer fabric, and returns the subject on a new background image or video, a transparent video, or an alpha matte. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Video Background Removal
Input

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Idle

$0.04per run·~25 / $1

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README

Video Background Remover Pro

Video Background Remover Pro cuts the main subject out of a video without a green screen, masks, or prompts. It keeps soft and semi-transparent edges that simple cutouts lose, such as flyaway hair, fur, smoke, sheer fabric, and glass, and returns the subject on a new background image or video, a transparent video, or an alpha matte.

Why Choose This?

  • No green screen needed Works on ordinary footage. The foreground subject is found automatically.

  • Soft-edge quality Hair strands, fur, smoke, veils, and other semi-transparent details keep their partial transparency instead of a hard outline.

  • Three kinds of output A transparent WebM for the web and for editors, a black-and-white alpha matte for professional compositing, or a finished MP4 on your own background image.

  • Frame-accurate The result has the same length, frame rate, and framing as the source, so it lines up with the original footage.

  • Audio preserved The source audio track is carried over to the output.

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

Parameters

ParameterRequiredDescription
videoYesInput video URL or uploaded video. Up to 120 seconds is processed.
background_imageNoA new background image. When given, the subject is placed over it and the result is an MP4. The image is scaled to fill the frame.
output_formatNoUsed when no background_image is given. transparent (default): WebM video with an alpha channel. matte: black-and-white MP4 of the alpha matte (white = subject).
target_resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p. Aspect ratio is preserved.

How to Use

  1. Upload a video — Provide the footage with the subject you want to keep.
  2. Pick the result you need — Leave output_format on transparent for a transparent video, choose matte for the alpha matte, or add a background_image to get the subject on a new background.
  3. Choose target resolution — Select 480p, 720p, or 1080p.
  4. Submit — Download the result.

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
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

background_image and output_format do not add separate charges.

Best Use Cases

  • Compositing and VFX — Pull a matte from live-action or generated footage and place the subject in a new scene.
  • Hair, fur, and soft edges — Portraits with loose hair, pets, feathers, and fabric that are hard to key or rotoscope.
  • Smoke, fire, and translucent elements — Keep the partial transparency of effects and sheer materials.
  • Product and talking-head videos — Swap a distracting background for a clean one.
  • Web overlays — Use the transparent WebM directly on a page or in a stream.
  • Social content — Put a person or object over any image background in one step.

Pro Tips

  • The subject is chosen automatically and cannot be selected. Use footage where the subject you want is clearly the foreground.
  • Transparent WebM plays with transparency in Chrome, Edge, and Firefox and imports into most web and motion tools. If your editor does not read WebM alpha, use matte and apply it to your original clip as a luma matte.
  • A matte output lines up frame for frame with the source: combine source × matte + background × (1 − matte).
  • Edge colors come from the source footage. A subject shot against a strongly colored background can keep a slight tint in fine hair.
  • Choose the target_resolution closest to your source for the sharpest edges.

Limits and Performance

  • Maximum processed video length per job: 120 seconds.
  • Input beyond 120 seconds is not processed or billed.
  • Maximum output resolution is 1080p.
  • Processing time varies with resolution and length; higher resolutions take longer.

Notes

  • video is required.
  • output_format defaults to transparent; it is ignored when background_image is given.
  • target_resolution defaults to 720p.
  • Billed duration is rounded up and clamped to 3–120 seconds.

Related Models

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 Background Remover Pro API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-background-remover-pro 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 Background Remover Pro 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",
    "output_format": "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-background-remover-pro" \
  -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-background-remover-pro";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "output_format": "mp4",
        "target_resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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",
    "output_format": "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-background-remover-pro", 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 Background Remover Pro API — Frequently asked questions

What is the Video Background Remover Pro API?

Video Background Remover Pro is a WaveSpeedAI model for video background removal, exposed as a REST API on WaveSpeedAI. Video Background Remover Pro cuts the subject out of any video without a green screen, keeping soft edges such as hair, fur, smoke and sheer fabric, and returns the subject on a new background image or video, a transparent video, or an alpha matte. 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 Background Remover Pro 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-background-remover-pro.

How much does Video Background Remover Pro cost per run or per second?

Video Background Remover Pro starts at $0.04 per run or per second. 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 Background Remover Pro accept?

Key inputs: `video`, `background_image`, `background_video`, `output_format`, `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-background-remover-pro.

How do I get started with the Video Background Remover Pro 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 Background Remover Pro 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-background-remover-pro for AI agents and LLMs