Compare the Top Data Extraction Software that integrates with IBM Cloud as of October 2025

This a list of Data Extraction 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 Data Extraction Software for IBM Cloud?

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

  • 1
    Telegraf

    Telegraf

    InfluxData

    Telegraf is the open source server agent to help you collect metrics from your stacks, sensors and systems. Telegraf is a plugin-driven server agent for collecting and sending metrics and events from databases, systems, and IoT sensors. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint. Telegraf can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable. It is written in Go, which means that it is a compiled and standalone binary that can be executed on any system with no need for external dependencies, no npm, pip, gem, or other package management tools required. With 300+ plugins already written by subject matter experts on the data in the community, it is easy to start collecting metrics from your end-points.
    Starting Price: $0
  • 2
    Automai Robotic Process Automation
    Automai provides Robotic Process Automation (RPA) to automate and manage even the most complicated front and back office tasks on any application(s). No scripting. Record your scenario, then edit or build on it with simple commands in the clear interface provided. Automai has the only RPA product that shares a platform with testing and monitoring components allowing scenarios to be built once and utilized in a variety of functions in the same enterprise. With Automai Robotic Process Automation (RPA), you CAN automate those repetitive tasks and processes. We’ve been using and improving our robotic automation technology for a long time, since it we started emulating human behavior for our automated testing solutions in 2000. And it’s the best out there. Our robotic automation intelligently copes with changing variables that human’s process in decision-making every day, learning what’s important to your business, and adapting so you can focus on bigger issues.
  • 3
    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.
  • 4
    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.
  • 5
    extrakt.AI

    extrakt.AI

    extrakt.AI

    No-code extraction of supply chain correspondence and documents, sync data with any IT system. Business correspondence containing forecasts, orders, and delivery confirmations. Spreadsheets can easily capture all your workflow specifics. However, you need a unified structure to scale. Create and maintain the same data entry protocols across all departments. Our AI extracts data from emails with attachments and populates spreadsheets. Each customer has different ways of doing business. Enforcing your protocol can be challenging. With AI, you can easily compensate for these differences on your end. Provide one example document, form the template with the simplicity of using Excel, and validate the results. Forward emails to a unique and secure email address, and populate templates with data from incoming emails. Synchronize data with enterprise software and make use of structured data throughout your company.
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