Here is a summary of the provided text in one paragraph: Amazon Textract is an AWS machine learning service that automatically extracts text, handwriting, and data from scanned documents. It excels at processing structured financial documents and forms within the AWS ecosystem but has limitations with costs that scale poorly for large volumes, complex document layouts, table extraction, setup requiring AWS expertise, and human-in-the-loop features. The article compares Amazon Textract to nine alternative solutions: Nanonets, Rossum, Docparser, Azure AI Document Intelligence, Google Cloud Document AI, ABBYY FlexiCapture, Tungsten Capture, Laserfiche, and Hyperscience. Each solution is evaluated based on five key parameters that matter most to organizations switching from Textract: ease of use, ease of setup, quality of support, meets requirements, and product direction. The scoring methodology considers real-world implementations, pricing models, integration needs, automation requirements, and feature sets. The article highlights the strengths and limitations of each solution and provides recommendations for choosing the best alternative based on specific business needs.