A government institution faced significant challenges managing and accessing civil registry records dating back more than a century. Birth and death certificates, some originating as early as 1910, existed primarily as scanned image files without machine-readable text. As a result, retrieving, analyzing, and digitizing critical information was a complex and time-consuming process. The situation was further complicated by varying document layouts, aging records, and handwritten entries, making traditional data extraction methods ineffective and limiting both administrative accessibility and historical research capabilities.
To modernize its archival processes, the institution partnered with Infognana to implement an advanced AI-powered layout parsing solution. The system was trained specifically to recognize the unique document structures, fonts, and handwriting styles commonly found in historical birth and death certificates. By combining intelligent form field recognition with advanced handwriting OCR technology, the solution accurately interpreted multiple document formats and extracted structured data from decades of archived civil registry records. This automated approach significantly accelerated digitization efforts while improving data consistency and accessibility.
The AI-driven solution achieved an impressive 88% extraction accuracy across more than one million historical documents, transforming previously inaccessible records into a searchable digital archive. The digitization initiative dramatically improved access to vital records, enabling faster administrative services and simplifying record retrieval for government personnel. Researchers also gained the ability to analyze historical demographic trends more efficiently. Beyond preserving invaluable historical information, the project streamlined document management workflows and demonstrated the transformative impact of AI-powered document digitization in the public sector.
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