This blog post explores the significance of reproducibility in Automatic Text Recognition (ATR) research, emphasizing its role in validating findings and promoting transparency within the ATR community. It also highlights key steps, such as open data access and standardized metrics, to ensure reproducibility and drive progress in the dynamic field of ATR.

This article explores our unique approach of using deep learning to not only transcribe historical documents, but also extract valuable information and recognize complex handwritten tables. Learn how TEKLIA is revolutionising the processing of historical and patrimonial documents, dramatically simplifying research and improving the accessibility of historical data.