How to extract data from ACORD forms

The blog provides a comprehensive overview of extracting structured text from ACORD forms utilizing Optical Character Recognition (OCR) and machine learning techniques to automate data entry in the insurance sector. It emphasizes the importance of ACORD forms as standardized documents across the industry, facilitating universal information exchange. The blog critiques traditional OCR tools like Tesseract for their limitations in handling complex scenarios, such as orientation issues and inability to extract key-value pairs. It proposes an end-to-end machine learning approach to overcome these challenges, involving steps like data collection, model building, and deployment. The blog highlights the use of advanced models like CUTIE, BERTgrid, and DeepDeSRT for effective information extraction and concludes with guidance on exporting data to formats like CSV or Excel for further validation and use.

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