Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Signatures is a feature within Amazon Textract that offers the ability to automatically detect signatures on any document. This can reduce the need for human review, custom code, or ML experience. In this post, we discuss the benefits of the AnalyzeDocument Signatures feature and how the AnalyzeDocument Signatures API helps detect signatures in documents. We also walk through how to use the feature through the Amazon Textract console and provide code examples to use the API and process the response with the Amazon Textract response parser library.

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. Critical business data remains unlocked in unstructured documents such as scanned images and PDFs, and trying to get humans to read this data or even legacy OCR is tedious, expensive, and error prone. This is why we launched Amazon Textract in 2019 to help you automate your tedious document processing workflows powered by AI. Amazon Textract automatically extracts printed text, handwriting, and data from any document.