Image Collection

ARAMedia carried out a large-scale image data collection project focusing on handwritten and printed text samples across multiple languages and writing styles.

Participants provided diverse content — from handwritten notes and forms to scanned printed documents — captured under controlled lighting and resolution standards. Each image was reviewed to ensure clarity, metadata accuracy, and dataset uniformity.

The collected data supports optical character recognition (OCR), AI handwriting recognition, and document digitization research, empowering next-generation models to understand and process real-world handwriting and typography variations.

This project showcases ARAMedia’s ability to manage complex, multilingual visual datasets with precision, quality control, and ethical data handling at scale.