Amazon Textract vs. Rossum

Amazon Textract is a machine learning service that automates the extraction of text, handwriting, and structured data from scanned documents. Unlike traditional optical character recognition (OCR) systems, Textract understands the context of documents, enabling it to accurately identify and extract data from forms, tables, and various layouts without manual intervention. This capability allows businesses to process documents such as invoices, receipts, and identity documents efficiently, reducing the need for time-consuming manual data entry and enhancing overall operational efficiency.

Rossum is a market-leading Intelligent Document Processing solution combining the industry’s most advanced data extraction capabilities with a complete low-code platform that automates significant amounts of manual work. Our goal for every use case is, at minimum, a 90% document processing speed increase. Over 450 organizations across industries, including Bosch, Siemens, Panasonic, Flexport, Morton Salt, and The Master Trust Bank of Japan, use Rossum to reduce manual effort, improve turnaround times, and eliminate errors.