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Top 25 Data Extraction Software SaaS Companies in May 2026

As of May 2026, there are 25 SaaS companies in Data Extraction Software. They have combined revenues of $474.6M and employ 3.1K people. They have raised $1.1B and serve 6.8K customers combined.

Data Extraction Software is designed to enable the automated extraction of structured and unstructured data from various sources, such as documents, websites, and databases. These tools are essential for businesses seeking to convert raw data into usable formats, facilitating better decision-making and operational efficiency. Common use cases include gathering insights from customer feedback, enabling competitive intelligence, and ensuring compliance with regulatory requirements. Typically, data extraction software includes features such as data parsing, data cleansing, and integration with other analytics tools. It automates tedious data entry tasks, reducing the potential for human error and significantly increasing the speed of data processing. The primary users of this software often include data analysts, business intelligence teams, finance professionals, and IT departments tasked with data management.

Companies
25
Revenue
$474.6M
Funding
$1.1B
Employees
3.1K

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Top Data Extraction Software Companies

Showing 10 of 9 companies ranked by annual revenue.

1
Goldenore

Warszawa, Poland

We are the team of Real-Time Data Architects specialized in Real-Time Data accessibility, availability and integration on every step of the data lifecycle. We introduce a groundbreaking view on data access as well as data management and provide tools to make companies successful in a fast-paced environment. Our commitment to innovation and creativity resulted in the development of unique methodology and approach based on most reliable tools that makes Data accessible anytime, anywhere and anyhow you want IT. We operate within Oracle, IBM, MS, Postgres Database technologies.

Revenue
$3.3M
Customers
80
Year founded
2013
Funding
$25.7M
Team size
32
Growth
11.32%
2
Dataddo

Prague, Prague, Czech Republic

Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google Data Studio for insights in record time. A free version is available for this product! - Data Anywhere, which enables users to send data from any A to any B—from apps to warehouses or dashboards (ETL, end to end), between warehouses (ETL), and from warehouses back into apps (reverse ETL). - Headless Data Integration, which allows enterprises to build their own data products on top of the unified Dataddo API and get all integrations in one. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. The platform is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001. From first log in to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.

Revenue
$3.2M
Customers
-
Year founded
2015
Funding
-
Team size
29
Growth
-
3
i4i

Toronto, Ontario, Canada

Developer of structured content application designed to specialize in the delivery of XML or SGML document processing software. The company's structured content application is based on its patented S4 Technology which synchronizes applications and data to provide the delivery of enterprise data, enabling businesses with all forms of data to be available to all processes in the enterprise.

Revenue
$3.2M
Customers
-
Year founded
1993
Funding
-
Team size
39
Growth
14.16%
4
Stone Bond Technologies

Houston, Texas, United States

Provider of data virtualization platform designed to deliver every aspect of data integration and access. The company's data virtualization platform helps in providing access to accurate, real-time data from any source location, automates the data extraction and presentation from multiple sources simultaneously, enabling companies to access, manage and integrate data regardless of where it may live.

Revenue
$2.7M
Customers
-
Year founded
2001
Funding
-
Team size
18
Growth
68.22%
5
CAPSYS Technologies

Colorado Springs, CO, United States

Purpose-Built Data and Document Capture Software - CAPSYS Technologies is a leading developer of distributed and centralized data and document capture software featuring innovative IoT Smart Connected Scanning technology. CAPSYS CAPTURE streamlines the process of acquiring data and documents securely and efficiently for Content Services Platforms, ECM, CRM and proprietary Information Management Systems. In addition to our web-based data capture scanning capabilities, CAPSYS CAPTURE’s scalable and extensible server software automatically ingests emails and attachments from Microsoft Office 365, Microsoft Exchange (and other mail servers), fax servers, XML/JSON-generated content, and content originating from a variety of other sources. CAPSYS CAPTURE solutions are offered as a traditional On-Premises deployment or Software as a Service (“SaaS”) provisioned in the Microsoft Azure Commercial and Government Edition data centers using Platform as a Service (PaaS) technology. For more information, please visit https://www.capsystech.com.

Revenue
$2M
Customers
-
Year founded
2008
Funding
-
Team size
18
Growth
-
6
MIOsoft

Madison, Wisconsin, United States

Provider of data quality, enterprise data, analytical application, and based data. The company operates within the industries of database software, systems and information management, and other information technology.

Revenue
$1.7M
Customers
-
Year founded
1998
Funding
-
Team size
10
Growth
37.57%
7
Cohelion

Rotterdam, South Holland, Netherlands

We’re helping organisations achieve more with their data. Our data platform enables organizations to integrate, clean-up, improve and enrich existing data and transform them into actionable insight. The result is a complete enterprise data warehouse, but with minimal impact to your existing processes and applications.

Revenue
$1.3M
Customers
-
Year founded
2002
Funding
-
Team size
12
Growth
-
8
The Data Refinery

United Kingdom

The Data Refinery is a fully managed data platform consolidating multiple data sources to provide a single source of truth, powering all organisational activities. With unrestricted source data access, a common data model generated by an advanced matching engine, built-in analytics and reporting dashboards, The Data Refinery makes high quality data easily accessible to those who need it across all areas of a business.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Growth
-
9
IT-Dimension Inc.

Santa Monica, California, United States

IT Dimensions provides expertise in many disciplines of data management: data architecture, systems integration, data quality, data warehousing and business intelligence. We resolve data and database systems challenges such as: * Complicated data migrations and data conversions - large databases (RDBMS), complicated rule-sets for unions or LOBs or missing source code * Back office/ERP systems integration with SaaS or EDI integration * Enterprise legacy systems reengineering and migration to a new platform We provide responsiveness and care of a small company with an enterprise level expertise that we have gained over 12 years of experience managing data for the top financial, retail, telco and other organizations.

Revenue
$1.1M
Customers
-
Year founded
1997
Funding
-
Team size
10
Growth
-

Inclusion Criteria

- Must automate the extraction of data from multiple sources including documents and websites - Should provide tools for data cleansing and formatting to ensure usability - Must enable integration with other software tools for analytics and reporting - Should allow for varying levels of data structuring depending on user needs - Must support compliance and regulatory data requirements in relevant industries - Not just for basic data collection; must also provide means for data analysis or reporting