# Bria Product Dimensions

> Bria Product Dimensions turns one product photo and its measurements into a marketplace-ready dimension image with callout lines, labels, and weight or capacity readouts


## Overview

- **Endpoint**: `https://fal.run/bria/product-dimensions`
- **Model ID**: `bria/product-dimensions`
- **Category**: image-to-image
- **Kind**: inference
**Tags**: stylized, transform, typography



## Pricing

- **Price**: $0.04 per images

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`title_position`** (`TitlePositionEnum`, _optional_):
  Title placement along the top. Default value: `"top_center"`
  - Default: `"top_center"`
  - Options: `"top_left"`, `"top_center"`, `"top_right"`

- **`proportional_lines`** (`boolean`, _optional_):
  Scale dimension line lengths by measurement. Default value: `true`
  - Default: `true`

- **`sync`** (`boolean`, _optional_):
  When true, return generated images directly as base64 instead of CDN URLs.
  - Default: `false`

- **`image`** (`string`, _required_):
  Source product image as a public URL or raw base64-encoded image bytes.
  - Examples: "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png"

- **`dimensions`** (`list<DimensionEntry>`, _required_):
  Dimension callouts to render. At least one entry is required.
  - Array of DimensionEntry
  - Examples: [{"position":"left","name":"height","value":22,"unit":"cm"},{"position":"bottom","name":"width_bottom","value":7,"unit":"cm"}]

- **`style`** (`StyleEnum`, _required_):
  Rendering style.
  - Options: `"default"`, `"childlike"`, `"elegant"`
  - Examples: "default"

- **`title`** (`string`, _optional_):
  Optional headline above the product.
  - Examples: "Water Bottle"

- **`output_size`** (`integer`, _optional_):
  Square output edge length in pixels. Default value: `2200`
  - Default: `2200`
  - Range: `256` to `2200`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  Controls the rendered response: png, jpeg, or dual composite plus transparent overlay. Default value: `"png"`
  - Default: `"png"`
  - Options: `"png"`, `"jpeg"`, `"dual"`

- **`background`** (`string`, _optional_):
  Hex color or one of: white, cream, charcoal. Default value: `"white"`
  - Default: `"white"`

- **`units_display`** (`UnitsDisplayEnum`, _optional_):
  How labels display primary and secondary units when both are provided. Default value: `"single"`
  - Default: `"single"`
  - Options: `"single"`, `"dual_bullet"`, `"dual_slash"`, `"dual_parens"`

- **`weight`** (`WeightInput`, _optional_):
  Optional weight badge below the product.

- **`capacity`** (`CapacityInput`, _optional_):
  Optional capacity badge below the product.



**Required Parameters Example**:

```json
{
  "image": "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png",
  "dimensions": [
    {
      "position": "left",
      "name": "height",
      "value": 22,
      "unit": "cm"
    },
    {
      "position": "bottom",
      "name": "width_bottom",
      "value": 7,
      "unit": "cm"
    }
  ],
  "style": "default"
}
```

**Full Example**:

```json
{
  "title_position": "top_center",
  "proportional_lines": true,
  "image": "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png",
  "dimensions": [
    {
      "position": "left",
      "name": "height",
      "value": 22,
      "unit": "cm"
    },
    {
      "position": "bottom",
      "name": "width_bottom",
      "value": 7,
      "unit": "cm"
    }
  ],
  "style": "default",
  "title": "Water Bottle",
  "output_size": 2200,
  "output_format": "png",
  "background": "white",
  "units_display": "single"
}
```


### Output Schema

The API returns the following output format:

- **`image`** (`Image`, _required_):
  Rendered product dimensions image.

- **`transparent_overlay`** (`Image`, _optional_):
  Transparent overlay returned only for output_format=dual.



**Example Response**:

```json
{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/bria/product-dimensions \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image": "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png",
     "dimensions": [
       {
         "position": "left",
         "name": "height",
         "value": 22,
         "unit": "cm"
       },
       {
         "position": "bottom",
         "name": "width_bottom",
         "value": 7,
         "unit": "cm"
       }
     ],
     "style": "default"
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "bria/product-dimensions",
    arguments={
        "image": "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png",
        "dimensions": [{
            "position": "left",
            "name": "height",
            "value": 22,
            "unit": "cm"
        }, {
            "position": "bottom",
            "name": "width_bottom",
            "value": 7,
            "unit": "cm"
        }],
        "style": "default"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("bria/product-dimensions", {
  input: {
    image: "https://bria-datasets.s3.us-east-1.amazonaws.com/product_dimensions/water+bottle+fal/water_bottle_white_background.png",
    dimensions: [{
      position: "left",
      name: "height",
      value: 22,
      unit: "cm"
    }, {
      position: "bottom",
      name: "width_bottom",
      value: 7,
      unit: "cm"
    }],
    style: "default"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/bria/product-dimensions)
- [API Documentation](https://fal.ai/models/bria/product-dimensions/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=bria/product-dimensions)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)
