Case Study: Zonal OCR automates data extraction from scanned documents with Docparser

Zonal OCR automates data extraction with Docparser in under 1 month

Zonal OCR, a company receiving hundreds of purchase and sales orders weekly, needed to automate the manual data entry of extracting specific text fields from these scanned documents. They turned to the vendor Docparser and its Zonal OCR service to efficiently capture only the essential data from defined zones in each document, eliminating the need to process entire texts.

Docparser provided a solution where Zonal OCR could easily train the system by drawing zones around required data fields to create a master template. Once set up, this allowed for the automated processing of large batches of documents with consistent layouts. The implementation significantly reduced manual labor, streamlined data-entry workflows, and enabled the company to shift its document processing to a fully paperless system.

Zonal OCR