The 12 Best Data Extraction Tools To Check Out

The 12 Best Data Extraction Tools To Check Out

The best data extraction tools are designed to automatically pull unstructured data from sources like websites and PDFs and convert it into structured formats like CSV or JSON.

This includes powerful web scraping tools such as Octoparse and ParseHub, as well as AI-driven platforms like Nanonets that specialise in document and invoice data extraction.

By automating this process, these tools eliminate manual data entry and provide the clean, structured data necessary for business intelligence, market research, and machine learning applications.

What is data extraction?

Data extraction is taking data from a source and organising it in a structured way for subsequent study. Structure refers to the arrangement of data in columns and rows so that it can be easily imported into another program or database.

Data extraction is taking information from data sources, such as databases or webpages and converting it into a more advantageous or manageable format.

This may include extracting specific bits of data, such as contact information. It may entail pulling data from a larger dataset and organising it to make it easier to examine.

Scraping information from websites or emails is one type of data extraction technique. It contains all other text-based files, such as spreadsheets, documents, and PDFs.

Data extraction aims to obtain raw data so that you can do something with it. For example, conduct analytics on your CRM contacts list or construct mailing lists using customer emails and addresses.

The Top 12 Data Extraction Tools

Data extraction is a complex process that may be divided into several parts.

The first step is to locate the data you wish to extract. Using an automated tool or another means to collect data from a source. The source is a website or database; once you've identified your desired data, several options exist for extracting it.

Given the complexity of the process, here are our top options for data extraction tools for your specific use cases!

Now, let's look at the best data extraction applications for 2026!

1. Nanonets

Nanonets are another document extraction technology. Machine learning recognises handwritten text, text images, low-resolution photos, and other data types. Using nanonets, you can digitise essential documents, extract data fields, and integrate them with your favourite APIs. 

Their pricing is unclear, with a free plan starting at $0 for 100 pages and “limited fields.” The Pro plan costs $499 monthly and includes processing up to 5,000 pages. 

Nanonets is a fantastic data extraction software for firms that want to automate document processes and minimise manual activities with no-code workflow automation. Nanonets can extract data from PDFs, papers, photos, emails, scanned documents, and unstructured datasets with greater than 95% accuracy.

Nanonets' automated document processing platform can cut costs by 50% and processing time by 90%. 500+ businesses rely on nano nets to automate real-time data extraction procedures. 

The advantages of using Nanonets

• Easy to use.
• 97%+ Accuracy
• Excellent support staff
• Quick information recognition
• Capacity to accept massive amounts of documents
• Reasonable cost – Check Pricing
• 200+ languages are supported.
• Customer service is available 24 hours a day, seven days
• Free Plans and Cost-effective Pricing Plans
• Sessions of personal training
• It includes robust OCR software and both cloud and on-premise hosting options.
• White label alternatives

2. JPG to Text

The JPG-to-text Converter is a web-based utility that converts photos into editable Word documents in seconds. It is a convenient web application allowing users to quickly transform image-based data into editable Word files. 

There are several online image-to-text converters, but the JPG-to-Word converter stands out. This tool's extraordinary features and facilities make it stand out. You will also become a fan of this tool.

The Advantages of Using a JPG to Word Converter

• The free JPG to Word converter produces the same quality output as more expensive solutions. 
• It works with all chromium-based converters. You may quickly access and utilise this program to convert text from PNG or JPG files to Word files. This Word document was simply downloaded. You can easily save and share the downloaded Word file with transformed data.
• One of the primary advantages is the ability to convert images containing text into editable text in a Word document. 
• The data extraction accuracy is more than 99%.
• By converting a JPG to Word, you can easily share and collaborate on the content with others.
• This OCR-based converter supports multiple languages. It can transform photos into text in different languages.
• This converter allows you to save the results as files easily. This enhancement ensures that your essential information is easily kept and accessed.

3. Docsumo

Docsumo has a self-service interface that takes minimal manual effort to process documents. Because the document AI solution includes pre-trained APIs, you won't have to train the ML models yourself. 

Docsumo's intelligent document processing enables business executives to extract data with greater than 99% accuracy from unstructured, semi-structured, and structured documents.  

Docsumo employs intelligent document processing technology to translate unstructured data from CSV, JSON, and XML into software such as QuickBooks, Xero, and Tally. Docsumo enables businesses of all sizes to extract data from documents.

The Advantages of Using a Docsumo

• Automatically classify and ingest documents from email inboxes, scanners, and APIs.
• Train bespoke ML models with data as small as 50 documents and track the performance of the trained models.
• Excel-style formulas validate co-dependently extracted data from a document. 
• Categorise tabular data to provide sophisticated ratios for decision-making. 
• Integrates with industry-specific sources such as CRM, accounting, and payroll software.  
• The data extraction accuracy is more than 99%.
• A high % STP rate of 95% ensures no human intervention is required.
• An NLP-based classification framework automatically categorises the data.

4. Rossum

Rossum is an OCR document processing platform. It assists organisations in extracting structured and semi-structured data from many documents. Users can download PDFs or other scanned documents, extract data, and export it in various formats. 

It removes manual operations through end-to-end document processing workflows. The extracted data is transformed into machine-readable code. It enables various business process automation tools to access information and utilise Rossum's storage as a single source of truth.

Rossum hides its pricing structure from clients. Two factors determine their pricing: 

1) The volume of documents that a business needs to handle

2) The functionality that the firm requires. 

The Advantages of Using a Rossum 

• AI-enhanced data extraction modules handle large-format documents while screening out spam and duplicates. 
• The AI OCR software ensures that all documents are managed following specified policies. 
• The low-code interface enables customers to tailor automation to different business requirements. 
• The accuracy of data extraction is approximately 96%.
• Document processing automation cuts time by 82%.
• Rossum's ML models can adapt to newer document styles without using templates.

5. Docparser

Docparser, an intelligent document processing software, leverages Zonal OCR. It uses robust pattern recognition and anchor keywords to recognise and extract information from image-based documents, PDFs, and Word files.

You can use Docparser rule templates or create custom document rules to extract data from business documents. 

Docparser is a leading no-code data extraction application. It uses OCR technology to extract data from documents and transmit it wherever needed.

Docparser allows users to obtain parsed data in Microsoft Excel, CSV, JSON, and XML formats. It also connects it to third-party programs such as Zapier.

Docparser does more than just extract data; it also exports it to your database, whether it's a spreadsheet or cloud software. 

Sign up for a free 21-day trial of Docparser to get started. We don't demand a credit card during sign-up, so there's no need to worry about automatic payment. 

With our trained 24/7 support team, you can be confident that your data is safe. 

The Advantages of Using a Docparser

• Smart layout-specific rules extract formatted information such as dates, emails, addresses, and invoices.
• Create sophisticated parsing rules that are suited to the company's needs.
• Advanced image pre-processing cleans up documents and gets them ready for data extraction.
• Docparser translates documents into structured formats, including CSV, JSON, and XML. 
• Integration with cloud apps enables users to send extracted data for archiving instantly. 
• Users in low-code settings can design custom parsing rules and data extraction templates. 

6. Adobe Acrobat Pro

Adobe Acrobat Pro is a data extraction program that uses OCR technology to convert scanned files and images to editable PDFs.

Its inherent interface with Microsoft Office programs makes it more appealing to clients who want to review and edit documents. Adobe Acrobat's user-friendly mobile software makes it easy for individuals to scan documents.

The Advantages of Using Adobe Acrobat Pro

• The software generates signable web forms for consumers to improve the onboarding process.
• Adobe Acrobat's font recognition capabilities preserve the formatting of scanned documents. 
• PDFs prepared by Adobe are highly editable. Users can split, merge, edit, and convert PDFs to various formats. 
• Regular updates increase the platform's functionality and user experience. 
• The scanned documents are saved to Adobe Document Cloud, Dropbox, Box, and Microsoft OneDrive. 
• The data extraction program works on various platforms, including smartphones and tablets. 

7. Octoparse

Octoparse is a cloud-based web data extraction solution.

Users may scrape data from any website and convert it to a structured spreadsheet using a point-and-click interface that requires no scripting. Octoparse takes data from websites rather than documents, as Docparser does. 

Octoparse is a robust online scraping tool that collects information from static and dynamic websites. This makes it perfect for conducting market research, analysing competitors, and aggregating content. 

The cloud-based solution is simple and includes API features for automatic data export and scheduling. IP rotation is also used to prevent websites from blocking the service.

Octoparse has four pricing categories. The free plan ends with the Standard subscription, which costs $89 monthly. The Professional package is $249 monthly, with extra Enterprise solutions for customers requiring more activities.

The Advantages of Using Octoparse

• The interface is intuitive.
• It handles dynamic websites easily.
• Cloud-based
• Scheduling and Automation Tools

8. Hevo Data 

Hevo Data is an ETL (Extract, Transform, and Load) solution for enterprise data integration. The cloud-based platform supports numerous extraction sources and provides real-time data streaming.

Hevo is a data extraction application that allows you to extract vast amounts of information from websites. It captures and processes all data on any website, supports over 50 file formats, and can extract data from web pages or audio recordings.

The application features an easy-to-use interface. So, even if you're unfamiliar with coding, you should be able to utilise it successfully.

Hevo's pre-built connectors allow for easy integration into data warehouses for sophisticated analytics. Despite being a no-code platform, it is complicated and takes considerable training.

The Advantages of Using Hevo Data 

• It can handle a vast number of pipes.
• Automatic detection of data sources.
• Simple Integrations
• Cloud-based
• Real-time data.
• Pre-built connectors.

9. Import.io

Import.io is a data extraction tool that helps organisations get high-quality market research and analytics data. You can set it up to extract real-time data from competing websites and process it using integrations.

Import.io is a data extraction tool that works with websites, social media, emails, documents, and other sources. The software includes features like email parsing. It allows users to access the needed data without writing code or utilising sophisticated tools.

It's a vital tool, but getting the most out of it requires some training. This makes it better suited to enterprise-level developers than amateurs.

The Advantages of Using Import.io

• Precise and effective.
• Simple to use: No code is necessary 
• Scrapes a specific section of a website
• Automated data extraction
• Real-time data integration with other tools.
• Visual interface

10. Fivetran

Alright, Fivetran is a bit of a different beast. It’s less about scraping a single document and more about connecting all your different data sources together automatically.

It's an ELT platform, meaning it extracts data from hundreds of apps like Salesforce, Google Analytics, or your database, loads it into a central data warehouse, and then you can transform it there. It handles all the boring, repetitive pipeline work so you don't have to.

The Advantages of Using Fivetran

• Fully managed data pipelines that you don't have to maintain.
• A massive library of over 300 pre-built connectors.
• Handles schema changes automatically so your data flow doesn't break.
• Built for high-volume data and real-time replication.
• Guarantees data integrity during the loading process.

11. ParseHub

Now, if you're trying to pull data from a really tricky website, ParseHub is your mate. We're talking about sites that are loaded with JavaScript, have infinite scrolling, or pop-ups that get in the way.

It’s a visual web scraper, which means you don't need to code. You just open the site in their app, click on the data you want to grab, and it learns what to do. It’s powerful but still accessible for people who aren't developers.

The Advantages of Using ParseHub

• Handles modern, complex, and interactive websites with ease.
• A graphical interface means you can build scrapers without writing any code.
• Includes IP rotation to stop your scraper from getting blocked.
• Can be scheduled to run automatically on the cloud.
• Exports data to JSON or CSV, or you can access it via an API.
• Offers a decent free plan for smaller jobs.

12. Scrapy

Okay, this one's for the techies in the room. If you know your way around Python and need some serious firepower for web scraping, Scrapy is the business.

It’s not a simple clicky tool; it's a full-on framework for building your own data extraction ‘spiders'. It's incredibly fast and efficient, designed for large-scale projects where you need to scrape thousands or even millions of pages. It’s free, open-source, and you can make it do pretty much whatever you want.

The Advantages of Using Scrapy

• Extremely fast because it works asynchronously.
• Highly customisable for any complex scraping logic you can think of.
• It's free and open-source, so there’s no vendor lock-in.
• Has a huge community and excellent documentation.
• Comes with built-in support for extracting data using CSS and XPath selectors.

(Bonus) Image to Text Converter

The image-to-text converter is a web-based tool that can easily convert photos into editable text within seconds. It is convenient for everyone and lets users quickly transform image-based data into editable text files.

There are several online image-to-text converters, but this image to text converter offers extraordinary features and facilities that make it exceptional. Once you try this tool, you will also become a fan of it.

The Advantages of Using an Image-to-Text Converter

The free image-to-text converter produces the same quality output as more expensive solutions.

It works with all chromium-based converters or OCR technology and is quite famous for data extraction. You may quickly access and utilise this tool to convert text from various image formats. Here are some key features:

1. HEIC to JPG: Convert HEIC images to JPG format effortlessly, making them accessible for text extraction.
2. JPG to PDF: Transform JPG images into PDF files, preserving the quality and making them easier to share and print.
3. PDF to JPG: Extract pages from PDF files and save them as JPG images, which is ideal for further text extraction.
4. PNG to PDF: Convert PNG images to PDF format, ensuring high-quality output for document storage.
5. PDF to PNG: Convert PDF pages into PNG images, allowing for flexible use and easy text extraction.

One of the primary advantages is the ability to convert images containing text into editable text that you can easily copy after extraction. The data extraction accuracy is more than 99%. By converting images to text, you can easily share and collaborate on the content with others.

This OCR-based converter supports multiple languages, transforming photos into text in different languages, such as French, German, Spanish, Italian, Indonesian, etc. This converter allows you to save the results as files, ensuring your essential information is kept and accessed effortlessly.

With these features, the image-to-text online converter ensures that essential information from images is easily accessible and editable.

The Data Extraction Process

Right, so you can’t just pull data out and expect it to be useful straight away. That's only the first part of the puzzle.

Look, the whole thing is usually called ETL, which stands for Extract, Transform, and Load. It's a simple idea, really.

First, you extract the data. This is the bit we've been talking about, pulling the raw information from wherever it's hiding.

Next, you transform it. This is where you clean it up. Think of it like washing muddy potatoes. You get rid of duplicates, fix errors, and get it all into a standard format so you can actually compare apples with apples.

Finally, you load it. You stick the clean, shiny data into its new home, like a data warehouse, where your team can analyse it and make some proper decisions. Some people do it the other way around, ELT, but the principle's the same. Extraction is just the start of the whole process.

How does data extraction software work?

Data extraction technologies transform semi-structured text documents into structured data that your company can examine. 

Here is the thing: Humans can easily read PDF documents, but few include machine-readable metadata. To update or arrange the data, you'll need a tool that converts the text into a machine-readable format.

This is where JPG to Word comes in. Instead of manually inputting data into a spreadsheet or CRM, JPG to Word can extract pertinent information from a text document. It transfers it to a spreadsheet, Salesforce, or other CRM and ERP systems. 

This application makes it simple to convert text from PNG or JPG files to Word files in seconds. Here's a step-by-step instruction for your convenience.

• Access our JPG-to-Word converter online from any device.
• Upload the image you want to convert by selecting it from your local storage.
• Using a computer, you can also drag and drop images.
• After uploading our JPG, the Word converter will begin to function.
• You'll have precisely extracted text from the picture in a Word file in no time.
• You can download and save the Word document or share it further.

Types of Data Structures in Data Extraction

Data extraction involves three types of data structures:

• Structured 
• Unstructured
• Semi-structured

Unstructured

Unstructured data is data in its most raw form. It is challenging to process because of its intricate layout and format. 

Unstructured data includes anything that lacks a specific format, such as a paragraph in a book, a web page, or log files. Unstructured data can also take the form of social media comments and postings. 

Structured

Structured data is data that has been prepared and turned into a well-defined data model. SQL relational databases are excellent instances of structured data collection. 

Humans and robots both generate organised data. It includes point-of-sale (POS) data such as barcodes, weblog statistics, and any data in a spreadsheet. 

Semi-structured data

Semi-structured data occurs when data sets are neither structured nor unstructured. It is a data type with consistent and distinct qualities, but it does not adhere to a structure like other data.

For example, shooting a photograph with a smartphone will contain structured data pieces such as the geotag, device ID, and time stamp. After your phone has saved the image, you may add tags such as “Mexico” and “sun” to create more structure. 

Common Data Sources for Extraction

The thing is, your data isn't all sat in one neat little box. It's usually scattered all over the place, in all sorts of formats.

You've got your proper Databases, both the old-school SQL ones and the newer NoSQL types. That's your structured stuff, usually quite easy to get at.

Then you have simple Files like CSVs, JSON, or XML. These are dead common for shifting data between different systems.

Websites are a massive one. You'll be scraping web pages for competitor prices, market trends, or contact details. That's where web scrapers come in handy.

Don't forget APIs. Most modern apps, like social media platforms or your CRM, have an API that lets you pull data out in a clean, organised way. It’s the official front door for data.

And finally, the messy stuff: Documents and Emails. Think PDFs, Word docs, and all those attachments. This is unstructured data, and you'll need tools with good OCR to make any sense of it.

How to select an automated data extraction tool for your company.

Extracting data from large volumes can be problematic and error-prone when done manually. This makes adopting automated data extraction techniques critical for firms dealing with vast data. 

Choosing the best data extraction software might be challenging. Given the multiple options to make data-driven decisions, examining the various data sources your company engages, particularly unstructured data from complicated documents is critical.

You must evaluate its structure, data sources, and document formats to guarantee that the program fulfils your business needs. 

Another important consideration is the extraction tool's ability to integrate data. It should be able to interact with your existing systems to speed up data collection and data integration initiatives for improved business information. 

You also need to think about scalability. Will the tool you pick today be able to cope when your data doubles in size next year? You don't want it to grind to a halt the minute you give it a real challenge.

Then there's the trade-off between something that's easy to use and something that's powerful. A simple point-and-click tool is great for the marketing team, but the developers might need a code-based framework to do something really specific.

And what about when it goes wrong? Good support and clear guides are worth their weight in gold when you're stuck on a problem. A tool with no backup is a risky bet.

Finally, have a proper look at the pricing. Some charge a monthly subscription, while others are pay-as-you-go, based on how much data you process. You've got to figure out which model won't burn a hole in your pocket.

Suppose your company requires assistance in identifying documents such as passports and licenses containing precise images and text.

In that case, you will need a solution that can accurately extract such data while preserving document structure and maintaining excellent data quality. To avoid costly errors, ensure that the program gives exact and accurate results. 

Wrapping Up

High-quality data is essential to making informed decisions and sustaining a competitive advantage in today's data-driven economy. Appropriate data extraction tools can help streamline procedures and increase operational efficiency.

As this industry evolves, business leaders must keep up with the latest developments. Using cutting-edge data extraction procedures, organisations can only stay competitive in an ever-changing digital environment.

Text extraction technology stands out as a game-changer, altering how we handle, analyse, and derive insights from text data. 

The nine applications presented in this article demonstrate the versatility and influence of text extraction technology across sectors. As we move forward, it is evident that this technology will continue to expand, opening up new opportunities and spurring innovation across the technological landscape.

Embracing the power of text extraction technologies is more than simply an option. It is a strategic imperative for firms that want to succeed in the data-driven future of 2026 and beyond.