Benchmarking Document Extraction Accuracy in Enterprise Workflows
Automated document processing remains a critical capability for enterprises handling high volumes of structured and semi-structured documents. Pinsoft's Process Automation Suite was benchmarked against 12 document types commonly encountered in logistics and aviation operations, including bills of lading, airway bills, customs declarations, and maintenance work orders.
The benchmark measured field-level extraction accuracy — the percentage of individual data fields correctly identified and extracted without manual correction. Across all document types, the system achieved 99.2% field-level accuracy, with variation ranging from 98.6% on handwritten maintenance logs to 99.8% on standardized shipping documents.
Processing throughput averaged 45 seconds per document, compared to the 12-minute baseline for manual data entry. Error rates for downstream systems dropped to near zero, as extracted data passed through validation rules before being committed to operational databases.
These results were measured in production environments across three enterprise deployments, with document volumes ranging from 2,000 to 15,000 documents per day. The findings demonstrate that current extraction models are reliable enough for unsupervised processing of standard document types, with human review reserved for exception handling.
