Once you have trained a Nanonets OCR model or are using one of our Pretrained models (instructions to train your own OCR model can be found here https://nanonets.com/help/how-to-build-an-ocr-model-with-nanonets) you can query the API using the following instructions:
1. Find your model from My Models page:
Go to https://app.nanonets.com/#/models and select the model of your choice and click Go To Model
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2. Go to the integrate page for your model
Got to the Integrate tab (found in the left hand sidebar). There you can go and select the language of your choice (Java, C#, Python, Nodejs, Javascript, Ruby etc). You can find the link to your model page by visiting https://app.nanonets.com/#/models
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Here are the details for web request being sent (as a cURL command)
curl \ --request POST \ --url 'https://app.nanonets.com/api/v2/OCR/Model/replace-with-your-model-id-goes-here/LabelUrls/' \ --header 'accept: application/x-www-form-urlencoded' \ -d 'urls=https://replace.with.your/image/url.jpg' \ -u 'replace-with-your-api-key:'
2. Copy the code and run. The api response will look like:
{
"message": "Success",
"result": [
{
"message": "Success",
"input": "https://url.to.file/223179695.jpeg",
"prediction": [
{
"label": "buyer_name",
"xmin": 298,
"ymin": 712,
"xmax": 561,
"ymax": 755,
"score": 1,
"ocr_text": "Unit4 N.V."
},
{
"label": "invoice_amount",
"xmin": 1820,
"ymin": 2241,
"xmax": 2074,
"ymax": 2291,
"score": 1,
"ocr_text": "$19.360.00"
}
],
"page": 0,
"request_file_id": "629bb44b-39be-4b59-b504-18bfa7621bba",
"filepath": "1382024497.jpeg"
}
]
}