Compare the Top OCR Software that integrates with Datasaur as of December 2025

This a list of OCR software that integrates with Datasaur. Use the filters on the left to add additional filters for products that have integrations with Datasaur. View the products that work with Datasaur in the table below.

What is OCR Software for Datasaur?

OCR (Optical Character Recognition) software is software that converts different types of documents—such as scanned paper documents, PDFs, or images—into editable and searchable text. OCR software analyzes the shapes of characters in the document and translates them into machine-readable data. This technology is particularly useful for digitizing printed documents, allowing businesses and individuals to archive, edit, and search through physical content more efficiently. By using OCR software, organizations can save time, reduce errors, and improve document accessibility while making information easier to manipulate and manage. Compare and read user reviews of the best OCR software for Datasaur currently available using the table below. This list is updated regularly.

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    Amazon Textract
    Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.
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