VerbalEx is a tool designed to simplify and automate user data extraction from government-issued ID cards. By capturing an image of an ID card, VerbalEx extracts essential information and organizes it in a structured format. This data can be accessed via an API, enabling various applications such as automated form filling, language translation of regional documents, and integration with e-signature services.
The project focuses on using Optical Character Recognition (OCR) to collect and store user data by extracting text from ID card images. This solution is aimed at creating a streamlined process for applications that require extensive data entry, multilingual support, and digital signature functionalities.
- Frontend: React.js (Client)
- Backend: Node.js with Express.js (Server)
- Database: MongoDB
- Machine Learning/OCR: Python with Tesseract OCR library
- Form Filling Automation: The extracted data can be used for pre-filling forms in different applications, saving time and minimizing errors in manual data entry.
- Language Translation: Enabling translation of extracted data into regional languages, facilitating applications across multilingual audiences.
- E-signature Integration: Integrating extracted data with e-signature functionalities for secure and authenticated document signing.
Create a .env file in the root directory and add the following environment variables:
MONGO_URI=""
PORT=
JWT_SECRET=""
NODE_ENV=""
accessToken=""