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.
Idle
$0.04per run·~25 / $1
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.
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.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Input video URL or uploaded video. Up to 120 seconds is processed. |
| background_image | No | A 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_format | No | Used 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_resolution | No | Output resolution: 480p, 720p, or 1080p. Default: 720p. Aspect ratio is preserved. |
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.480p, 720p, or 1080p.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 Resolution | Per 5s | Per second |
|---|---|---|
| 480p | $0.10 | $0.02 |
| 720p | $0.20 | $0.04 |
| 1080p | $0.50 | $0.10 |
| Input Duration | Billed Duration | 480p | 720p | 1080p |
|---|---|---|---|---|
| 1s | 3s | $0.06 | $0.12 | $0.30 |
| 5s | 5s | $0.10 | $0.20 | $0.50 |
| 10s | 10s | $0.20 | $0.40 | $1.00 |
| 60s | 60s | $1.20 | $2.40 | $6.00 |
| 120s | 120s | $2.40 | $4.80 | $12.00 |
background_image and output_format do not add separate charges.
matte and apply it to your original clip as a luma matte.matte output lines up frame for frame with the source: combine source × matte + background × (1 − matte).target_resolution closest to your source for the sharpest edges.120 seconds.120 seconds is not processed or billed.1080p.video is required.output_format defaults to transparent; it is ignored when background_image is given.target_resolution defaults to 720p.3–120 seconds.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-background-remover-pro with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Video Background Remover Pro below.
set -euo pipefail
: "${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
doneconst 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));
}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 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.
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.
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.
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.
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.
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.