Documents recognition as easy as reading two bytes.
If you have any problems with or questions about this client, please contact us through aGitHub issue. You are invited to contributenew features, fixes, or updates,large or small; We are always thrilled to receive pull requests, and do our best to process them as fast as we can. Seedev guide
regula.documentreader.webclient
is on the Python Package Index (PyPI):
pip install regula.documentreader.webclient
Or usingpipenv
pipenv install regula.documentreader.webclient
Performing request:
fromregula.documentreader.webclientimport*
withopen("australia_passport.jpg","rb")asf:
input_image=f.read()
withDocumentReaderApi(host='http://localhost:8080')asapi:
params=ProcessParams(
scenario=Scenario.FULL_PROCESS,
result_type_output=[Result.DOCUMENT_IMAGE,Result.STATUS,Result.TEXT,Result.IMAGES]
)
request=RecognitionRequest(process_params=params,images=[input_image])
response=api.process(request)
Parsing results:
# status examples
response_status=response.status
doc_overall_status="valid"ifresponse_status.overall_status==CheckResult.OKelse"not valid"
# text fields example
doc_number_field=response.text.get_field(TextFieldType.DOCUMENT_NUMBER)
doc_number_mrz=doc_number_field.get_value()
doc_number_visual=doc_number_field.get_value(Source.VISUAL)
doc_number_visual_validity=doc_number_field.source_validity(Source.VISUAL)
doc_number_mrz_validity=doc_number_field.source_validity(Source.MRZ)
doc_number_mrz_visual_matching=doc_number_field.cross_source_comparison(Source.MRZ,Source.VISUAL)
# images fields example
normalized_input_image=response.images.document_image()
portrait_field=response.images.get_field(GraphicFieldType.PORTRAIT)
portrait_from_visual=portrait_field.get_value(Source.VISUAL)
portrait_from_rfid=portrait_field.get_value(Source.RFID,original=True)
You can find more detailed guide and run this sample inexamplefolder.