Top 25 Intelligent Document Recognition startups

Updated: Feb 16, 2026
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These startups develop IDR software that transform row paper documents or forms into ordered data ready for input in structured database, classification, insight extraction.
1
UiPath
Country: USA | Funding: $2B
UiPath develops the leading RPA platform for automating complex processes. It can be deployed in the cloud or on-premises and enables creation of AI agents, their orchestration, intelligent document processing and automation of user interfaces for any application. Agent-based UI automation intelligently understands screens, navigates layouts and recovers from unexpected changes. The system also enables the implementation of API-centric use cases to improve enterprise-wide data consistency and the automation of multi-step processes by combining API calls using deterministic logic.
2
Instabase
Country: USA | Funding: $292M
Instabase is providing an apps platform that can be used to understand and analyze unstructured data.
3
HyperScience
Country: USA | Funding: $288.9M
HyperScience helps its customers save enormous time spent on manual data extraction from forms and the tedious data capturing process from pay stubs and invoices. The data are naturally aligned even when they’re split in the different fields and under distinct names between documents.
4
Onfido
Country: UK | Funding: $188.8M
Onfido builds trust in an online world by helping businesses digitally verify people's identities. Our Identity Record Check cross-references your users’ details against a range of verified global databases and credit reference agencies.
5
Ocrolus
Country: USA | Funding: $127M
Ocrolus is a document automation platform in financial services that powers the digital lending ecosystem with trusted data.
6
Rossum
Country: UK | Funding: $125.7M
Rossum's artificial intelligence understands complex structured documents, enabling companies to capture data from financial documents efficiently and with human-level accuracy. Unlike existing text mining solutions, Rossum's unique deep neural networks reflect the way humans read documents. This eliminates the need for costly manual implementation, a game changer in the data capture business.
7
Hive
Country: USA | Funding: $120.7M
Hive provides cloud-based enterprise AI solutions designed for intelligent automation.
8
Flatfile
Country: USA | Funding: $94.7M
Flatfile is a provider of a data onboarding platform used to import, map, and normalize customer data exhange. Flatfile uses AI to map and resolve schema in documents and extract data.
9
Eigen Technologies
Country: UK | Funding: $59.4M
Eigen is a research-driven AI company specialising in NLP for businesses in finance, law and professional services. Eigen automates the extraction and classification of information from documents. Their simple, flexible Natural Language Processing (NLP) technology accurately extracts information from diverse types of documents at scale and can be integrated into our clients’ workflows.
10
Kira Systems
Country: Canada | Funding: CA$65M
Kira is a powerful machine learning software that identifies, extracts, and analyzes text in your contracts and other documents.
11
Parascript
Country: USA
Parascript is a leading developer of AI solutions for document capture and recognition. The company's intelligent document recognition (IDR) solutions recognize both handwritten and printed text. The system is used to detect check fraud, verify signature authenticity, extract data from structured, semi-structured and unstructured documents (e.g., loan applications, mortgage documents, ballots, petitions) in banks, financial institutions, and government agencies. Acquired by Speak Seeds
12
Savana Medica
Country: Spain | Funding: $44.4M
Savana is a machine learning-based service that turns clinical notes into structured patient information for physicians and pharmacists
13
Cinnamon
Country: Japan | Funding: $42.4M
Cinnamon is an AI startup that develops products aimed at reducing the amount of time people spend on mundane tasks. Its Flax Scanner takes lengthy documents and extracts only the most pertinent information, while Lapis Engine is an natural language processing (NLP) based search engine designed to give recommendations for applications such as e-commerce or a recruiting platform, and Scuro Bot is a chatbot which can also process natural languages.
14
Alkymi
Country: USA | Funding: $26M
Alkymi is the first ever Data Inbox for enterprises that breaks the unstructured data.
15
LexCheck
Country: USA | Funding: $25M
LexCheck uses AI, including natural language processing, to support processes around editing and negotiating contracts.
16
Hypatos
Country: Germany | Funding: $15.5M
Hypatos is applying language processing AI and computer vision tech to speed up financial document processing for business use cases such as invoices, travel and expense management, loan application validation and insurance claims handling via — touting a training data set of more than 10 million annotated data entities.
17
Parashift
Country: Switzerland | Funding: $10.5M
Large enterprises, BPOs, software vendors, and IT specialists rely on Parashift to read complex documents and speed up business processes. Parashift leverages Document Swarm Learning™ to train machine learning models on field entity level and offer unprecedented out-of-the-box capabilities.
18
Levity
Country: Germany | Funding: $10M
Levity is a software company that provides a no-code AI workflow automation platform. It uses NLP and computer vision in a single horizontal platform to parse unstructured data types — such as images, texts and documents.
19
Uhura
Country: Montenegro | Funding: $2.6M
An AI platform that reads and understands contracts and agreements just as humans do.
20
Send AI
Country: Netherlands | Funding: $2.5M
Send AI is a document processing infrastructure that allows to train and configure your own vision and language models to extract all the information right into your systems, fast. Benefit from finely tuned classification, extraction, and custom validation logic tailored to your unique needs.
21
IN-D
Country: Singapore | Funding: $1.4M
IN-D develops AI powered platform for location-agnostic, agile and low-cost digital operations. Document Processing using AI based information extraction, independent of template, for structured or unstructured data
22
Visionify
Country: USA | Funding: $120K
Visionify provides Machine Learning, Deep Learning and Computer Vision solutions for the modern enterprise.
23
Haystac
Country: USA
The Content Intelligence Company (tm)
24
Graip.ai
Country: Latvia
The Graip.ai platform is an AI assistant creating structured and usable data from various documents. It combines the power of rules-based Robotic Process Automation and self-learning Artificial Intelligence. The platform recognizes documents, processes data, and transmits it to target fields or systems like SAP, Microsoft Dynamics 365, and Sales Force.
25
Neurapses Technologies
Country: UK
Neurapses develops Machine Learning and Data Analytics solutions for automated document processing, personalized websites, educational robotics
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Siddhant Patel
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)pro