Innova Solutions > Information Extraction

Automate information capture to improve data quality for better processes and deeper insights

A large amount of information is in unstructured documents such as pdf, text files, images, social media, log files, and product manuals. Critical information such as tables, images, infographics is embedded in these documents. Extracting relevant data is not a trivial task when the structure of these documents varies from document to document.

Innova’s information extraction solution module allows people to filter data with natural query language to retrieve necessary information from unstructured documents. While doing so, the solution allows:

A human to validate the results from the extract engine
Convert unstructured information into a structured one

Our solution allows you to extract information from the following document types:

Annual statements and balance sheets
Healthcare records and insurance claims
User manuals and product information for retail service tickets, text files, email, and social media
Remittance advice and invoices in finance

Innova’s information extraction module allows people to filter data with natural query language to retrieve necessary information from unstructured documents.

We can help with

Improving capture accuracy based on fast learning algorithms

Automatic capture of additional document types, irrespective of the volume

What makes us different?


Web-based interface for defining domain-specific taxonomy and data elements to be extracted

Intelligent capture – Leverage machine learning algorithms for continuous, self-adapting information extraction

Efficient data completion – Accelerate data entry with single-click entry and automatic table and other entities’ recognition

Plug and Play – Connect to a data source of your choice and gain insights using pre-built analytics

You have a dream?

We have a way to get you there.
Let’s connect and see how we help companies just like yours.