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The Microservice-based Optical Character Recognition application for offline forms

The Microservice based OCR application making the data digital which can be easily interpreted and stored.
The Microservice-based Optical Character Recognition application for offline forms

Authors: Jayeesha Ghosh, Srivathshan KS, Parvej Saleh
Issue: Vol. 1 No. 01 (2020): Probyto AI Journal

The majority of Indian offices still use the old school method of filling up paper-based forms and storing them. They need human interference even when digitalized. The use of digitalized data in the future is inevitable as it makes easier to be interpreted and stored. In this paper, we focus on the extension and user-based implementation of the previously inhouse developed OCR model mentioned in the published paper 'FormAssist'. Making the model user-friendly through a web application called OCR-WebApp using microservices architecture and converting it into an end-to-end (E2E) business solution. We explain how the input image of offline filled form data flow from the user end to the controller through API calls, passes through the model, processed in serverless architecture, results are stored in cloud storage and displayed to the user, all done in a few minutes. We also discuss the challenges encountered while deploying the model into a production level architecture and how we overcame those.

#OpticalCharacterRecognition #DeepLearning #E2EBusinessSolution #ArtificialIntelligence #Probyto #ProbytoAI

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The Microservice-based Optical Character Recognition application for offline forms | Probyto AI Journal

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