Compare the Top Data Extraction Software in India as of March 2026

What is Data Extraction Software in India?

Data extraction software automates the process of collecting and retrieving information from various sources such as websites, databases, documents, and APIs. It transforms unstructured or semi-structured data into structured formats for easier analysis and processing. Businesses use this software to streamline workflows, gather competitive intelligence, and populate databases with large volumes of information. It supports multiple formats, including PDFs, spreadsheets, and web pages, reducing the need for manual data entry. By accelerating data collection and improving accuracy, data extraction software enhances decision-making and operational efficiency. Compare and read user reviews of the best Data Extraction software in India currently available using the table below. This list is updated regularly.

  • 1
    Iguana

    Iguana

    iNTERFACEWARE

    Iguana, iNTERFACEWARE's development-based integration platform, is the only tool you need to build fully custom interfaces, quickly and reliably. Connect all message formats: HL7, FHIR, X12, JSON and more. With over two decades in the business and thousands of installs globally, Iguana is the world's most trusted integration engine.
  • 2
    Google Cloud Natural Language API
    Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
  • 3
    Parascript

    Parascript

    Parascript

    Ensure faster, more accurate mortgage and loan document processing automation with Parascript software; automate insurance document-based tasks for the intake and review of healthcare insurance data. Optimize health plan process efficiencies, increase data accuracy and reduce costs through document processing automation. Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation, and data entry for payments, lending, and AP/AR processes. Every year, over 100 billion documents involved in banking, government, and insurance are processed by Parascript software.
  • 4
    Extract Systems

    Extract Systems

    Extract Systems

    Our intelligent document handling platform brings automated extraction, redaction, classification, and indexing to companies of all industries. Extract’s document handling platform reads your incoming unstructured documents. Our customizable platform intelligently extracts or redacts the information you need and routes your data and the original document to their final destination. Our platform runs your source documents through an Optical Character Recognition (OCR) software and rules that have been written by us, specifically for your company's needs. The Extract Systems Platform begins to extract or redact the information you need. With our intelligent software, we are then able to send the data and original document to any final destination you choose. This process not only reduces the time spent on manual entry, but also reduces human error typically caused by manual data entry and speeds up access to valuable discrete data so you can share, compare, report, and analyze the data.
  • 5
    Amazon Comprehend Medical
    Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.
  • 6
    Speech2Structure
    When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.
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