OCR for Brazilian CNH (Drivers license) to JSON object.
The simplest and fast-forward way to get started with this project in 2 steps is:
docker build -t ocr-cnh .
It may take a while as the Dockerfile
compile and install several OS native libraries to run the service.
After waiting for the build, just run an instance of the container by executing:
docker run -it -d -p 8080:8080 ocr-cnh
You can check if the container is running accordingly by executing the docker ps
.
Any problems you may have you should take a look at the logs (docker logs {container_name_or_id}
)
At this point you're ready to go. Just access http://localhost:8080
and you should see a nice and friendly form to test this service :)
As said, this is a very simple service, with a even simpler use dynamic:
- You send (upload within a POST
multipart/form-data
request) the document (CNH) image; - The service will return you a JSON with the document information (or not - depends on the quality of the document and image)
The following code snippet examplifies how to use the API:
import fetch from 'fetch';
let formData = new FormData();
let fileField = document.querySelector('input[type="file"]');
let file = fileField.files[0]
if (!file) alert('ERROR: Select a file.')
formData.append('file', file);
try {
const rawResponse = await fetch('/cnh.json', { method: 'POST', body: formData });
const response = rawResponse.json();
console.log(response);
} catch (error) {
console.error(error);
}
This request shall return a JSON with the following format:
{
"nome": "XXXXXXXXXXXXXXX",
"cpf": "XXXXXXXX",
"dt_nasc": "XXXXXXXX",
"rg": "XXXXXXXX",
"rg_emissor": "XXXXXXXX",
"rg_uf": "XXXXXXXX",
"numero": "XXXXXXXX",
"cidade": "XXXXXXXX",
"uf": "XXXXXXXX",
"pai": "XXXXXXXX",
"mae": "XXXXXXXX",
"emissao": "XXXXXXXX",
"validade": "XXXXXXXX",
"avatar": "XXXXXXXX"
}