Enable efficient data extraction from digitized documents with AI-based Document Digitization Solution powered by Azure Cognitive Services.
The manual extraction of data from documents is a time-consuming process and prone to errors. Many industries, such as healthcare, insurance, and finance, face challenges in handling a large volume of unstructured data in paper-based formats. Inefficient data extraction leads to delayed decision-making and loss of productivity.
Affine’s AI-based Document Digitization Solution addresses the challenges of inconsistent report designs and enables efficient data extraction from digitized documents. The solution is designed to extract structured information from standard as well as custom document templates. The extracted data can be stored in Azure Cosmos DB for further analysis purposes.
The proposed solution utilizes various Azure services, including Azure Form Recognizer, Azure Blob, Azure Cosmos DB, etc. The Azure Form Recognizer service automatically identifies and extracts relevant information from structured documents such as invoices, receipts, and forms. The extracted data is then stored in Azure Cosmos DB, a globally distributed multi-model database service, for further analysis.
This Proof-of-Concept implementation can be expanded to your production environment.