Transcription Parsing Solution

Executive Summary

The project involved parsing a PDF to extract required data and store it in the database for further use. The client is a clinical research organization and supports the medical industry with data research and regulatory submissions. The solution enabled the client to extract the required information: key-value pairs and tabular data and store it in the repository.

About our Client

Client : Confidential

Location : USA

Industry : Healthcare

Technologies

Pytesseract, opencv, invoice2data, azure-storage, celery, RabbitMQ

doctor-looking-information-database
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