Since Amazon Textract uses machine learning, document processing is done efficiently and quickly. Manual configuration needs to be updated in traditional OCR software every time the document type changes. This extraneous time wastage is eliminated with Lumiq’s Document Digitization solutions.
Text, forms, tables — the Document Digitization’s eyes miss nothing. No custom code, configuration, or training required from your side. It accurately separate key sections on the page, detect the key elements contained in them, and procure them with the context intact.
Amazon Textract can be safely used for documents that are subject to GDPR, PCI, HIPAA, ISO compliance, and SOC compliance. The engine identifies form labels and data types which enables it to extract information in a way that is aligned with security guidelines.
The manual document perusal process can be full of errors, slow, and expensive. Automating it solves all these problems and ensure a higher quality deliverable no matter the document type. You can also add a human review at the end to wrap up the process nicely.
Government regulations mandate that the Aadhaar number (provided by a customer as an identity proof at the time of buying an insurance policy) needs to be masked by the insurance company before being stored in their internal systems. This Aadhaar number is provided in multiple ways. It can be submitted in a copy of the Aadhaar card; captured in the policy document or any other supporting document; and sometimes the number could also be handwritten in these documents.
One of the key steps in automating the underwriting process is to automate quality checks & autofill the underwriter worksheet. This is done by extracting key fields from the supporting documents submitted by the customer at the time of applying for an insurance policy. The supporting documents (financial documents & medical reports) could sometimes include handwritten documents like physical proposal forms, handwritten medical examination reports, cheques, etc.
Introduction of paperless workflow
97% reduction in human labour for PII redaction
Projected 70% reduction in human labour for data entry
Enhancement of CX by reducing the to-and-fro for accurate details and documents
Reduction in cost, scaled productivity, and freed up resources