Best Text Analytics Software

Compare the Top Text Analytics Software as of December 2025

What is Text Analytics Software?

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 currently available using the table below. This list is updated regularly.

  • 1
    EvaluAgent

    EvaluAgent

    EvaluAgent

    Our Quality Assurance Platform helps Contact Centers like yours to optimize customer, agent and user experience to ultimately thrive. Answer a few simple questions and learn where you are on your journey to Smart Quality, and we'll provide you with personalized recommendations for how to take your QA to the next level. Mitigate risk by unifying customer feedback, performance data and text analytics to quickly identify conversations that require your attention. Integrate and fetch conversations, survey results and performance data into the most connected QA & improvement platform on the market. Auto-score 100% of calls, emails and chat sessions to highlight CX and compliance breaches. Build your own signals and filters to send conversations to your QA team for deep-dive evaluation and root-cause analysis. Generate reports your business will act on. Demonstrate ROI by plotting how your QA efforts increase efficiency, sales and both customer and employee satisfaction.
  • 2
    OpenText Unstructured Data Analytics
    OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights.
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