A government institution faced a major setback in managing historical civil registry documents dating back as far as 1910. These birth and death certificates were stored as scanned images that lacked machine-readable formats. This made it difficult to search, analyze, or digitize the valuable information contained in these records. The diversity of document layouts and the presence of handwritten entries further complicated any attempts at automated data extraction, limiting access for administrative use and historical research in the present day.
To overcome these challenges, the institution partnered with Rannsolve to implement an AI-powered layout parser. The AI tool was trained on the unique fonts, forms, and handwriting styles found in century-old birth and death certificates, utilizing advanced form field recognition combined with handwriting OCR capabilities. Its ability to accurately interpret multiple document formats made the process of extracting structured birth/death data from the civil registry’s archives easier.
The implementation achieved an impressive 88% extraction accuracy across 1 million+ historical documents, transforming them into a searchable digital archives. This breakthrough has dramatically improved digital access to decades-old records, paving the way for faster administrative processing and allowing researchers to analyze demographic trends in no time. The project not only preserved valuable historical data but also streamlined the government institution’s workflows—an excellent example of the powerful impact of AI-driven document digitization.
Share this case study
Comprehensive Solutions – Driven by AI Innovation – Transforming Business