Un-flatten any flat AI design into editable layers, reproduce it bit-perfect, from your agent.
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Auto-detect the elements (subjects and text) in a design image as relative bounding boxes. Returns: A JSON string with the detected elements (relative bboxes) and their count.
The design image as an http(s) URL or a base64 data URL.
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Auto-detect the elements (subjects and text) in a design image as relative bounding boxes. Returns: A JSON string with the detected elements (relative bboxes) and their count.
| Argument | Type | Description |
|---|---|---|
| image | string |
| The design image as an http(s) URL or a base64 data URL. |
{
"type": "object",
"properties": {
"image": {
"type": "string",
"description": "The design image as an http(s) URL or a base64 data URL."
}
}
}Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics.
| Argument | Type | Description |
|---|---|---|
| original | string | The original image as an http(s) URL or a base64 data URL. |
| reproduction | string | The reproduced image to compare, as an http(s) URL or a base64 data URL. |
{
"type": "object",
"properties": {
"original": {
"type": "string",
"description": "The original image as an http(s) URL or a base64 data URL."
},
"reproduction": {
"type": "string",
"description": "The reproduced image to compare, as an http(s) URL or a base64 data URL."
}
}
}Un-flatten a flat design image into editable layers and reproduce it bit-perfect, returning the fidelity score. Returns: A JSON string with a bit_perfect flag and fidelity metrics (mae, psnr, exact-match %, stray px).
| Argument | Type | Description |
|---|---|---|
| image | string | The source design image as an http(s) URL or a base64 data URL. |
{
"type": "object",
"properties": {
"image": {
"type": "string",
"description": "The source design image as an http(s) URL or a base64 data URL."
}
}
}