Bria Extract Object isolates a described object from an input image and returns a clean object cutout on a transparent background, ideal for product assets, design workflows, and image compositing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
就绪

$0.02每次运行·~50 / $1

The wine

The computer
Bria Extract Object isolates a described object from an input image and returns the cutout on a transparent background. Use a short prompt to identify the target object, then optionally refine the mask or crop the output canvas.
Prompt-guided object extraction
Describe the object you want to isolate, such as the red car, main product, or the blue handbag.
Transparent cutout output
Return the selected object as a transparent-background image for compositing, design, and product workflows.
Optional background refinement
Use force_background_removal to refine the cutout alpha and improve background removal.
Optional autocrop
Tighten the output canvas around the extracted object for compact, ready-to-use assets.
Standard image output
Results are returned as image URLs in the standard WaveSpeed prediction response.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Input image containing the object to extract. |
| prompt | No | Natural-language description of the object to extract. Default: main object. |
| force_background_removal | No | Refine the cutout alpha with background removal. Default: false. |
| autocrop | No | Tighten the output canvas around the extracted object. Default: false. |
prompt to identify the target object.force_background_removal for cleaner alpha edges or autocrop for a tighter canvas.| Output | Price |
|---|---|
| Per image | $0.02 |
main object or main product for simple product-style images.force_background_removal when you need cleaner alpha edges.autocrop when you want the output canvas cropped around the extracted object.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/extract-object 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 Extract Object below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/extract-object" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"prompt": "main object",
"force_background_removal": false,
"autocrop": false
}'
# 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/extract-object", {
"image": "https://example.com/your-input.jpg",
"prompt": "main object",
"force_background_removal": false,
"autocrop": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/extract-object",
{
"image": "https://example.com/your-input.jpg",
"prompt": "main object",
"force_background_removal": false,
"autocrop": false
}
)
print(output["outputs"][0]) # → URL of the generated outputExtract Object is a Bria model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Bria Extract Object isolates a described object from an input image and returns a clean object cutout on a transparent background, ideal for product assets, design workflows, and image compositing. 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 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-extract-object.
Extract Object starts at $0.020 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`, `image`, `autocrop`, `force_background_removal`. 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-extract-object.
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 (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.