RPA.DocumentAI.Base64AI
Library to support Base64.ai service for intelligent document processing (IDP).
Library requires at the minimum rpaframework version 19.0.0.
Service supports identifying fields in the documents, which can be given to the service in multiple different file formats and via URL.
Robot Framework example usage
*** Settings ***
Library RPA.DocumentAI.Base64AI
Library RPA.Robocorp.Vault
*** Tasks ***
Identify document
${secrets}= Get Secret base64ai-auth
Set Authorization ${secrets}[email-address] ${secrets}[apikey]
${results}= Scan Document File
... ${CURDIR}${/}invoice.pdf
... model_types=finance/check/usa,finance/invoice/usa
# Scan response contains list of detected models in the document
FOR ${result} IN @{results}
Log To Console Model: ${result}[model]
Log To Console Field keys: ${{','.join($result['fields'].keys())}}
Log To Console Fields: ${result}[fields]
Log To Console Text (OCR): ${result}[ocr]
END
Python example usage
from RPA.DocumentAI.Base64AI import Base64AI
from RPA.Robocorp.Vault import Vault
secrets = Vault().get_secret("base64ai-auth")
baselib = Base64AI()
baselib.set_authorization(secrets["email-address"], secrets["apikey"])
result = baselib.scan_document_file(
"invoice.pdf",
model_types="finance/invoice,finance/check/usa",
)
for r in result:
print(f"Model: {r['model']}")
for key, props in r["fields"].items():
print(f"FIELD {key}: {props['value']}")
print(f"Text (OCR): {r['ocr']}")
Portal example: https://github.com/robocorp/example-idp-base64