The 9 Best Data Extraction Tools To Check Out

The 9 Best Data Extraction Tools To Check Out

Every organisation has a ton of data, but it's hidden in employees' PDF files or email attachments.

Successful businesses make data-driven judgments. This is achievable thanks to data extraction and analysis technologies. Your company has a lot of data, and it's growing every day. You need to be able to access and use that information when you need it quickly. 

Data extraction techniques are ideal for getting specific data points without manually searching through large datasets or spending hours looking for what you need. 

These tools make extracting only the information you need straightforward while keeping your organisational structure intact, making it easy to find later. This blog post will introduce you to the top data extraction tools and applications for 2024. 

You have to choose the best data extraction software based on your needs.

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.

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 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 to 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 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. 

The Top 9 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 2024!

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
• Include 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 that allows users to transform image-based data into editable Word files quickly. 

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.
• Using 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

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. 

Suppose your company requires assistance 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 2024 and beyond.