Best Text Analytics Software

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.

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    DocuPipe

    DocuPipe

    DocuPipe

    DocuPipe is an AI-powered document intelligence platform that turns virtually any document into a reliably structured data object. It handles complex formats, handwritten notes, nested tables, checkboxes, multilingual text—and converts the content into consistent JSON or database records. You define what you need with custom schemas and upload PDFs, images or scans, and DocuPipe’s pipeline handles document type classification, OCR, table extraction, form parsing, and schema-based standardization. It supports use cases such as invoices, contracts, loan applications, medical records, purchase orders and receipts. The REST API enables full automation; upload a file, wait a few seconds, then retrieve a parsed text result or standardized JSON according to your schema. DocuPipe emphasizes security and compliance, documents are encrypted in transit and at rest, and the platform is SOC-2, ISO 27001, HIPAA and GDPR-ready.
    Starting Price: $99 per month
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    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.
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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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