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Top 4 OCR Software SaaS Companies in May 2026

As of May 2026, there are 4 SaaS companies in OCR Software. They have combined revenues of $32.6M and employ 311 people. They have raised $65M and serve - customers combined.

OCR software, or Optical Character Recognition software, is designed to convert different types of documents, such as scanned paper documents, PDF files, or images taken by a digital camera, into editable and searchable digital data. This technology enhances productivity by allowing users to extract text from images and automate data entry tasks, reducing the need for manual transcription. Common use cases for OCR software include invoice processing, document management in healthcare, legal documentation, and extracting text from printed materials in various industries. Typical features of OCR software include image preprocessing, text recognition, support for multiple languages, and integration with other systems for automated workflows. The primary user personas include professionals in finance, legal, logistics, and healthcare, who seek to improve accuracy and efficiency in their operations.

Companies
4
Revenue
$32.6M
Funding
$65M
Employees
311

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top OCR Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Scan123

Portland, Oregon, United States

Scan123 is a SaaS-based company located in Portland, Oregon. We provide a document management platform allowing businesses to quickly, easily, and securely store, find, and share their files while maintaining regulatory compliance. Our document management solution combines advanced OCR functionality, secure file-sharing capabilities, and time-saving automations that allow businesses to focus on their core objectives instead of dealing with the burdensome chore of paperwork.

Revenue
$4.3M
Customers
-
Year founded
-
Funding
-
Team size
39
Growth
-

Inclusion Criteria

- The product must accurately convert scanned images or documents into machine-readable text. - It should enable users to edit and search the converted text easily. - The software must support various file formats, including PDFs and images. - Capable of batch processing documents to handle large volumes efficiently. - Must provide features for text recognition in multiple languages. - Not just focused on document scanning; must also include integration capabilities with other software applications.

OCR Software SaaS Companies | GetLatka