Compare the Top Text Analytics Software that integrates with IBM Cloud as of August 2025

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

What is Text Analytics Software for IBM Cloud?

Text analytics software is a type of software used to extract and analyze data from text-based sources. It can be used to uncover meaningful patterns, trends, and insights from large amounts of unstructured data. Text analytics software typically combines natural language processing (NLP) and machine learning techniques to identify desired entities such as people, organizations, locations, topics, or sentiment. This technology can be used in a variety of industries such as healthcare, retail, finance and marketing for purposes like customer feedback analysis or opinion mining. Compare and read user reviews of the best Text Analytics software for IBM Cloud currently available using the table below. This list is updated regularly.

  • 1
    IBM Datacap
    Streamline the capture, recognition and classification of business documents. IBM® Datacap software is a key capability of the IBM Cloud Pak® for Business Automation. It streamlines the capture, recognition and classification of business documents. Its natural language processing, text analytics and machine learning technologies identify, classify and extract content from unstructured or variable paper documents. Supports multichannel input from scanners, faxes, emails, digital files such as PDF, and images from applications and mobile devices. Uses machine learning to automate the processing of complex or unknown formats and highly variable documents difficult to capture with traditional systems. Enables you to export documents and information to a range of applications and content repositories from IBM and other vendors. Offers configuration of capture workflows and applications using a simple point-and-click interface to speed deployment.
  • 2
    NetOwl Extractor
    NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.
  • 3
    NetOwl TextMiner
    NetOwl TextMiner combines our award winning NetOwl Extractor with Elasticsearch to provide unique text analytics software. TextMiner leverages all aspects of NetOwl capabilities and is ideal for supporting “what if” analysis, discovery, quick response investigation, and detailed research. NetOwl TextMiner integrates all text analytics capabilities of NetOwl Extractor, including entity extraction, relationship, and event extraction, sentiment analysis, text categorization, and geotagging into all-encompassing text mining software. Extractor output is stored in Elasticsearch for a variety of intelligent search and analytic capabilities. The combination of Elasticsearch and NetOwl provides fast and scalable real-time text analysis for Big Data. TextMiner’s Web-based UI is an easy to use and configurable text analytics tool for different analysis scenarios and enables users to gain quick access to all and only high-value information derived from a vast amount of texts.
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