Bria Video Eraser is an AI video inpainting model that removes unwanted objects, people, logos, and text from footage using natural-language prompts. It tracks targets across frames and reconstructs clean, temporally consistent backgrounds for edit-ready results. Ready-to-use REST API, best performance, no cold starts, affordable pricing.
Idle
$0.07per run·~14 / $1
cup
Bria Video Eraser is a prompt-driven video editing model that removes unwanted objects from videos using simple text instructions. Describe what to erase (people, objects, or specific elements), and the model performs clean removal with context-aware background reconstruction—ideal for fast cleanup without frame-by-frame work.
| Parameter | Description |
|---|---|
| prompt* | Text description of what to remove (e.g., “cup”, “person on the right”, “red backpack”). Keep it short and specific. |
| video* | Input video file or public URL. |
| copy_audio | Whether to keep the original audio in the output video (true = preserve, false = remove). |
Billing rules (plain English):
Effective rate:
Reference prices (USD):
| Duration | Total Price |
|---|---|
| 5 s | $0.07 |
| 10 s | $0.14 |
| 20 s | $0.28 |
| 60 s | $0.84 |
| 600 s | $8.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/video-eraser/prompt 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 Video Eraser Prompt below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/video-eraser/prompt" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"copy_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/video-eraser/prompt", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"copy_audio": true
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/video-eraser/prompt",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"copy_audio": true
}
)
print(output["outputs"][0]) # → URL of the generated outputVideo Eraser Prompt is a Bria model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Bria Video Eraser is an AI video inpainting model that removes unwanted objects, people, logos, and text from footage using natural-language prompts. It tracks targets across frames and reconstructs clean, temporally consistent backgrounds for edit-ready results. Ready-to-use REST 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-video-eraser-prompt.
Video Eraser Prompt starts at $0.070 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: `prompt`, `video`, `copy_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-video-eraser-prompt.
Average end-to-end generation time on WaveSpeedAI is around 55 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.