United States
ABBYY helps enterprises gain a complete understanding of their business processes to accelerate digital transformation.
- Revenue
- $45M
- Year founded
- 1989
- Team size
- 978
As of November 2026, Latka tracks 13 OCR software companies. They have combined revenues of $125.3M and employ 1.7K people. They have raised $84.4M and serve 1.1K customers combined.
Every company below sells OCR software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
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.
Sorting: Highest -> Lowest
Showing 10 of 13 companies ranked by annual revenue.
United States
ABBYY helps enterprises gain a complete understanding of their business processes to accelerate digital transformation.
San Jose, California, United States
Infrrd is an award-winning AI firm focused on applying machine learning to improving business processes. The company’s platform employs next-generation AI capabilities to help enterprises transform their businesses. Proprietary technology removes bottlenecks caused by manual data entry and unlocks data from complex documents to power digitization. Infrrd’s unique ML-first approach can automatically extract data from documents with complex visual elements, surpassing OCR’s performance limitations to help you maximize straight-through processing. With over a decade of industry experience, Infrrd draws talent from around the globe and builds close-knit teams driven to help enterprises worldwide gain competitive advantages and better serve their customers. It’s constantly innovating via Infrrd Research Labs, which explores cutting-edge solutions and tackles the industry’s toughest challenges. Infrrd is committed to making the impossible possible, and guarantees its accuracy, increasing extraction efficiency to give customers a worry-free innovation experience. The company has been recognized for its role in providing a strong work-life balance and has also won awards for Best CEOs for Women and Best CEOs for Diversity.
London, England, United Kingdom
AntWorks is a global leader in Intelligent Document Processing. We have built proprietary AI, ML and NLP technologies to unlock, classify and digitise vital data in the full range of business documents. CMR+, our enterprise grade platform, understands and contextualises information with unrivalled accuracy and minimal intervention. Designed for flexibility, it is a low-code no-code solution that can be-self configured by business users and processes hard-to-read, unstructured content from emails, contracts, reports, tables, images and handwriting without the need for templating, even in complex use cases.
San Francisco, California, United States
LlamaIndex is a flexible data framework designed to connect custom data sources to large language models (LLMs). It simplifies the process of building, iterating, and deploying multi-agent AI systems, enabling autonomous task execution over various data types. LlamaIndex supports both read and write functions, allowing dynamic data ingestion and modification through a reasoning loop and tool abstractions.
Sacramento, California, United States
At Unstructured, we're on a mission to give organizations access to all their data. We know the world runs on documents—from research reports and memos, to quarterly filings and plans of action. And yet, 80% of this information is trapped in inaccessible formats leading to inefficient decision-making and repetitive work. Until now. Unstructured captures this unstructured data wherever it lives and transforms it into AI-friendly JSON files for companies who are eager to fold AI into their business.
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.
France
Mindee is a Paris-founded, US-flipped API company that helps software developers build document processing automation features into their products. The company charges on a per-page, usage-based model, with the base rate set at $0.10 per page and volume discounts applied as consumption scales. Jonathan Grandperrin, co-founder and CEO, told Latka in November 2021 that Mindee had crossed a million-dollar annual run rate and was growing approximately 15% month over month on an organic basis. Founded in 2018 by Grandperrin and three co-founders, Mindee bootstrapped its early operations through consulting revenue before raising a $3 million seed round in May 2019 and a $14 million Series A in 2021. The company completed Y Combinator's Winter 2021 batch and subsequently flipped its legal entity to the United States. As of the interview, Mindee served roughly 70 customers, carried zero logo churn, and reported net dollar retention of 250%, driven by a land-and-expand motion in which customers begin at low usage volumes and grow their API consumption over time. The team stood at 27 people, 20 of whom were engineers, reflecting the company's developer-first identity. Financial services, fintech, and HR software companies represent the core customer concentration, with Lucca, a French HR platform serving approximately one million users, as Mindee's first production customer.
Brooklyn, New York, United States
AI-powered productivity tools and services used by the world's top companies spanning education, pharma, finance, and technology
Auckland, New Zealand
Xtracta provides technology, powered by artificial intelligence that automatically captures data from documents. Supporting scanned, photographed or digital documents, the technology is designed to be embedded into mobile, cloud or desktop applications via an easy to use API. Utilising machine learning and Big Data, the technology doesn't require manual template setup and can scale to a limitless count of document designs; perfect for document types like invoices, receipts, contracts and more. Xtracta's technology is typically used by software companies, outsourcing providers or business process solution providers. Delivered over the cloud, the technology is simple to deploy for many applications including those in the cloud or on-premise.
San Francisco, California, United States
More deals, less paperwork. Power business growth and improve profitability with ADEx’s better document automation and searchability. Whether you’re in real estate, lending, insurance, investment or portfolio management, ADEx’s deep industry expertise, pretrained libraries, tools and calculators enable more deals in less time without increasing costs or headcount. Designed to deliver more comprehensive results, accelerating time-to-value and delivering better, faster ROI. Seamlessly plugs into your end-to-end enterprise systems via APIs that automatically consume your documents and push structured data to your enterprise software, replacing manual processes end-to-end.
Latka tracks 13 OCR software companies with reported revenue. Together they generate $125.3M in annual revenue and employ 1.7K people.
ABBYY is the largest, with $45M in annual revenue, founded in 1989.
The average OCR software company in this list makes $9.6M a year, across 13 companies with reported revenue. They serve 1.1K customers combined.
Ranked by annual revenue, the leaders are ABBYY, Infrrd, AntWorks, LlamaIndex and Unstructured.
The 13 OCR software companies tracked here have raised $84.4M in disclosed funding between them.
- 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.