Compare the Top Text Analytics Software for Mac as of January 2026

What is Text Analytics Software for Mac?

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

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    PrepAI

    PrepAI

    PrepAI

    PrepAI helps the content leaders and exam administrators in saving time and reducing human errors while generating the question papers for offline or online exams. PrepAI provides supportive state assessment that boosts student achievement. Programs offer realistic assessment rehearsals as well as consistent practice based on artificial intelligence. The initiative aims to improve student learning in schools, edtech businesses and educational institutions. Our artificial intelligence platform and collaborative platforms were developed by Edtech professionals, and innovative engineers. PrepAI uses Natural Language Processing technique for text analysis engine so the evaluation is effective and has a higher impact on the learning. The team of product experts at PrepAI develops the best solutions for individuals and organizations based on their unique requirements. It also contributes to a rigorous study program aligned to standards that can better prepare students to succeed in
    Starting Price: Free
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    GraphDB

    GraphDB

    Ontotext

    *GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).
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    Hyland Document Filters
    Document Filters is an SDK that can be leveraged for various applications, such as content indexing, e-discovery, data migration, feeding data into AI/ML models and much more by extracting data from unstructured sources. It gives software developers the ability to perform deep inspection, data extraction, output manipulation and conversion for virtually any type of document and language.
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    Cognitive Workbench
    ExB offers an AI and ML Driven Cognitive Process Automation platform that allows insurance companies to convert any form of text into actionable information and insights for input management and process automation. Insurers can implement ready-to-use pre-trained policy management, claims management, text mining in reports, and invoice assessment modules, request us to train ad-hoc models for their unique business workflows, or directly utilize our Cognitive Workbench to independently create and train any sort of text mining and end-to-end input management models.
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