Bria Video Background Remover removes the background from videos with support for transparency and custom background colors. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.14per run·~71 / $10
Bria Fibo Video Background Remover is an AI-powered video processing model that removes backgrounds from videos. Upload your video and choose a replacement background color — the model cleanly separates subjects from their surroundings with frame-by-frame consistency.
Clean background removal Precisely separates subjects from backgrounds across all video frames.
Multiple background colors Replace with transparent, solid colors (black, white, gray, red, green, blue, etc.).
Temporal consistency Maintains smooth, flicker-free results throughout the video.
Audio preservation Option to keep original audio track in the output.
Flexible output formats Export as WebM VP9 or other container/codec combinations.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video for background removal (URL or upload) |
| background_color | No | Replacement color: Transparent, Black, White, Gray, Red, Green, Blue, Yellow, Cyan, Magenta |
| output_container_and_codec | No | Output format (see table below, default: webm_vp9) |
| preserve_audio | No | Keep original audio in output video (default: enabled) |
| Option | Container | Codec | Alpha Support |
|---|---|---|---|
| webm_vp9 | WebM | VP9 | Yes |
| mp4_h264 | MP4 | H.264 | No |
| mp4_h265 | MP4 | H.265/HEVC | No |
| mov_h265 | MOV | H.265/HEVC | Partial |
| mov_proresks | MOV | ProRes 4444 | Yes |
| mkv_h264 | MKV | H.264 | No |
| mkv_h265 | MKV | H.265/HEVC | No |
| mkv_vp9 | MKV | VP9 | Yes |
| gif | GIF | - | Yes |
Important: If you select "Transparent" as background_color, you must use a format that supports Alpha channel (webm_vp9, mov_proresks, mkv_vp9, or gif). Otherwise, the API will return a 422 error.
| Duration | Cost |
|---|---|
| Per second | $0.14 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Fibo Video Background Remover below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"video": "https://example.com/your-input.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": true
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("bria/fibo/video-background-remover", {
"video": "https://example.com/your-input.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": true
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/fibo/video-background-remover",
{
"video": "https://example.com/your-input.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": true
}
)
print(output["outputs"][0]) # → URL of the generated outputFibo Video Background Remover is a Bria model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Bria Video Background Remover removes the background from videos with support for transparency and custom background colors. Ready-to-use REST inference API, best performance, no cold starts, 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-video-background-remover.
Fibo Video Background Remover starts at $0.14 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.
Key inputs: `video`, `background_color`, `output_container_and_codec`, `preserve_audio`. 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/bria/bria-fibo-video-background-remover.
Average end-to-end generation time on WaveSpeedAI is around 41 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.