Extracts text from images with precise bounding box coordinates for each text element.
POST
/v1/ocr
Request Body
Les paramètres suivants peuvent être inclus dans le corps de la requête :
Paramètres
model
string
Required
Default Value:
alphaedge-ocr-3-2512
ID of the OCR model to use.
image
string
Required
Base64 encoded image or image URL.
return_bboxes
boolean
Default Value:
true
Whether to return bounding boxes.
Successful Response
Les champs suivants sont retournés dans une réponse réussie :
Champs de réponse
id
string
Required
A unique identifier for the OCR result.
bboxes
array<BBox>
Required
Array of bounding boxes with text and coordinates.
Examples
Exemples de code pour utiliser cet endpoint :
typescript
import { AlphaEdge } from '@alphaedge/alphaedge';
const alphaedge = new AlphaEdge({
apiKey: process.env.ALPHAEDGE_API_KEY,
});
const result = await alphaedge.ocr.create({
model: 'alphaedge-ocr-3-2512',
image: 'data:image/png;base64,...',
return_bboxes: true
});
python
from alphaedge import AlphaEdge
alphaedge = AlphaEdge(api_key="your-api-key")
result = alphaedge.ocr.create(
model="alphaedge-ocr-3-2512",
image="data:image/png;base64,...",
return_bboxes=True
)
curl
curl https://api.alphaedge-ai.com/v1/ocr \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ALPHAEDGE_API_KEY" \
-d '{
"model": "alphaedge-ocr-3-2512",
"image": "data:image/png;base64,...",
"return_bboxes": true
}' Response
Exemple de réponse de l'API :
json
{
"id": "ocr-abc123",
"object": "ocr.result",
"model": "alphaedge-ocr-3-2512",
"text": "Extracted text",
"bboxes": [
{
"text": "Hello",
"bbox": [10, 20, 100, 30],
"confidence": 0.98
}
]
}