Fibo Video Background Remover | AI Background & Object Remover API

Bria Fibo Video Background Remover

Bria Fibo Video Background Remover is an AI-powered video processing model that removes backgrounds from videos with strong temporal consistency and clean subject separation. Upload your video, choose a replacement background color, and generate a processed result suitable for compositing, social content, product videos, and professional editing workflows.

What's New in V-RMBG 3.0

Bria’s V-RMBG 3.0 is now live as a major upgrade to Bria’s production-ready video background removal stack.

State-of-the-art upgrade — Built as an end-to-end video background removal workflow for production use.
Stronger benchmark performance — Reported 63%+ success rate against major competitors.
Faster processing — Up to 9× faster than earlier approaches.
Autoregressive temporal modeling — Each frame conditions on the previous frame’s mask for improved consistency.
Cleaner edges across the full clip — Better stability, reduced flicker, and more reliable subject boundaries over time.

Why Choose This?

Clean background removal
Precisely separates subjects from backgrounds across all video frames.
Multiple background colors
Replace the background with transparent output or solid colors such as black, white, gray, red, green, blue, yellow, cyan, or magenta.
Temporal consistency
Maintains smoother, more stable output throughout the full video.
Audio preservation
Optionally keep the original audio track in the output.
Flexible output formats
Export as WebM VP9 or other supported container/codec combinations depending on your workflow.
Production-ready workflow
Useful for compositing, creator content, product isolation, and professional post-production.

Parameters

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 option. Default: `webm_vp9`.
preserve_audio	No	Keep the original audio in the output video. Default: enabled.

Output Format Options

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 an output format that supports alpha, such as webm_vp9, mov_proresks, mkv_vp9, or gif. Otherwise, the request may return a 422 error.

How to Use

Upload your video — provide the source clip you want to process.
Choose a background color — select transparent output or a solid replacement color.
Choose the output format — select the container/codec option that best fits your workflow.
Set audio preference — keep preserve_audio enabled if you want the original audio retained.
Submit — run the model and download the processed video.

Example Use Case

Remove the background from a presenter clip, keep the original audio, and export with transparency for use in a video editor or motion graphics workflow.

Pricing

Billing Unit	Cost
Per second	$0.0045

Billing Rules

Pricing is $0.0045 per second
Pricing scales linearly with video duration
Output format and background color do not change pricing directly

Best Use Cases

Green screen replacement — Remove backgrounds for compositing in video editors.
Social media content — Create clean, distraction-free videos.
Product videos — Isolate products on simple or transparent backgrounds.
Presentations — Extract people or objects for overlays and visual presentations.
Content creation — Prepare footage for downstream editing, effects, and post-production.

Pro Tips

For transparent-background compositing, use webm_vp9, mov_proresks, mkv_vp9, or gif.
Use gif only for short clips where lightweight transparent output matters more than fidelity.
mp4_h264 offers strong compatibility, but it does not support transparency.
mov_proresks is a strong choice for higher-quality professional editing workflows.
Keep preserve_audio enabled when voice, music, or sound effects need to remain intact.
Higher subject-background contrast usually improves removal quality.

Notes

video is the only required input.
Transparent output requires an alpha-supported format.
Using Transparent with a non-alpha format may result in an API error.
V-RMBG 3.0 improves speed and temporal stability, especially on longer clips and harder edge cases.

Related Models

Bria Fibo Colorize — Apply color styles to images.
Bria Fibo Relight — Adjust lighting conditions on images.
Bria Fibo Restore — Restore old or damaged photos.
Bria Fibo Reseason — Change seasons in outdoor scenes.

Fibo Video Background Remover API — Quick start

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.

HTTP example

# 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].

Node.js example

// 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

Python example

# 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 output

Fibo Video Background Remover API — Frequently asked questions

What is the Fibo Video Background Remover API?

Fibo 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.

How do I call the Fibo Video Background Remover 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 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.

How much does Fibo Video Background Remover cost per run?

Fibo Video Background Remover starts at $0.004 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 Fibo Video Background Remover accept?

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.

How long does Fibo Video Background Remover take to generate?

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.

Can I use Fibo Video Background Remover outputs commercially?

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.

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