Bridge the information gap with our unstructured data extraction solution

Extract, process, and centralize data instantly with an AI-powered unstructured data extraction solution. Transform the data locked in your silos into profits.

91%

Quality

1 Mn+

Records

24 hrs

TAT

90%

Fill Rate

automated data extraction

Seamlessly bring data together from different sources

80% of the data is unstructured, and businesses need to extract information from unstructured data to embrace new business strategies, which is a significant challenge.

At Xtract.io , we bridge information gaps by automating data extraction from massive amounts of unstructured documents with our AI-powered unstructured data extraction services.

We extract information from heterogeneous sources and deliver actionable insights

email extraction Email
image extraction Image
pdf extraction PDF
invoice extraction Invoice
social media extraction Social media
web extraction Webpages

Revolutionize data strategy with robust unstructured data extraction solution

Our unstructured data extraction solution allows you to extract information from unstructured text seamlessly and derive precise business insights. We collect, standardize, and centralize your data, enabling stakeholders and decision-makers to access business-critical information quickly.

AI data extraction
AI-powered data extraction

Capture and extract relevant data from invoices, legal documents, financial PDFs stored in data warehouses. Transform your business through data extraction from billions of unstructured documents.

Effective data standardization
Effective data standardization

Update your internal database by extracting data from reliable third-party sources and standardizing your data as per industry regulations. Address business challenges and make informed business decisions.

accurate data validation
Accurate data validation

Check the accuracy of the company's database and use pre-built data validation rules to resolve any quality issues. Increase the confidence score of the extracted data by gaining access to accurate and up-to-date data.

Seamless data integration
Seamless data integration

Deploy data in the desired format into systems like Drupal, BigCommerce, Tableau, both in the cloud and on-premises with our powerful APIs. Access all the data across the globe seamlessly and meet a wide range of business requirements.

Why should you trust Xtract.io with unstructured data extraction?

multiple source data extraction
Versatile model

You may have adopted multiple approaches to extract different sources of data. We extract and analyze the data the way you need it, even from the most tangled sources with our AI-powered data extraction solution.

critical data points
On-time delivery

Get access to real-time data that meets your business needs on time. With our unstructured data extraction solution, you no longer need to wait for critical data points or be concerned about the quality.

AI data quality checks
In-built data quality checks

You might be reluctant to depend on the extracted data due to data quality issues. We enforce rules and checks to ensure the abstracted data is reliable and ready for direct business consumption.

secured centralized database
Unified view of data

You can access data at any time through a secured centralized database. We integrate updated data into the cloud and on-premises systems like Drupal, Tableau, HRMS, and predict business insights.

Case Studies

large-scale data
Spend less time on headhunting and more time growing your business

You can now hire fresh talents in less time and improve business productivity by extracting and analyzing accurate and fresh candidate data.

large-scale data
Create strategic financial solutions and boost business productivity

Our technical experts extract and integrate real-time financial data into your company's database to provide seamless access to accurate financial information.

Frequently Asked Questions

Unstructured data refers to information that does not have a pre-defined data model and is not organized in a pre-defined manner. Examples include emails, documents, images, and other text-heavy content. Extracting meaningful information from unstructured data is challenging because it doesn't have a fixed format, making it harder for traditional data processing methods to interpret and analyze.

Xtract.io utilizes advanced natural language processing (NLP) and machine learning algorithms to analyze and extract relevant information from unstructured data sources. The solution uses techniques to analyze text, images, and other unstructured content, converting it into structured data that can be efficiently utilized for various applications.

Common methods include manual data entry, web scraping, API access, database querying, log file parsing, OCR, data extraction solutions, file parsing, scanning, and imaging. Choosing the appropriate method depends on factors such as the type of data, its source, and the desired output format.

The legality of data extraction depends on several factors, including the data source, the methods employed, and adherence to relevant laws and regulations. Data extraction is generally legal when conducted within the bounds of applicable terms of service, copyright laws, and data protection regulations.

A robust data extraction solution is designed to handle a wide range of unstructured data, including but not limited to text documents, emails, PDFs, images, and more. The solution is adaptable and can be tailored to meet specific requirements for data extraction.

Certainly. Our data extraction solution exhibits scalability and can be customized to cater to the specific requirements of businesses across various sizes. Whether you represent a startup or a well-established enterprise, Xtract.io offers tailored, unstructured data extraction solutions.

Join us today to transform data silos into business insights!

© 2024 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.

© 2024 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.