Are you relying on manual data entry for collecting
data from documents? This traditional method of collecting information entails the use of a large team who read
information and key it into the system. In this slow, laborious input process, there can be spelling mistakes,
incorrect formatting or even misreading of information on screen. If you are a small/medium sized business, the
cost of data entry will be a significant expense when you employ manual data entry resources. You also will have
to bear the risk of additional losses due to erroneous data in the system.
Data extraction using Artificial Intelligence is the process of locating and identifying relevant data from
various sources, varying formats like images, documents, PDFs, financial tables, graphs, and more with “human
level accuracy”. Due to increased speed and accuracy of data extraction, you can tap into the potential of
saving up to 50% of the costs associated with manual data entry.
We have ready to use solutions for most common document types. Create and set up your own custom model in a few clicks.
Tax Form
Legal documents
Bank Forms
Financial statements
Handwritten text
Table extraction from unstructured documents
Invoices and receipts
We are glad to train our machine learning models to extract data from customized / complex documents.
InferIQ solution successfully able to convert over 70% of the unseen AP/AR data from 24-48 hours to 5-10 seconds.
Automated data extraction technology can be implemented across a variety of industries.
Banking & Financial Services
Learn MoreInsurance
Learn MoreHealthcare
Learn MoreManufacturing
Learn MorePublic Sector
Learn MoreRead the below case study and see how InferIQ solutions reduced data extraction Cost, Time, and Improved Accuracy and Efficiency.
Our customer is a leading full-service national lender offering mortgage solutions to clients of diverse income brackets...
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