03esh.jpg

SUPERIOR INVOICE DATA EXTRACTION AT YOUR SERVICE

Tactically built with Artificial Intelligence to extract data from specific document types such as invoices, receipts, forms, and identity cards to name a few. 

BG.gif

Extracting Tables & Forms

invoice--1-.gif

Extracting Invoices

Nanonets merges AI & deep learning methods with optical character recognition technology for companies and individuals to able to automate the process of digitizing documents and enables easier manual data entry procedures, better logging and storage, lower errors and faster response times.

claims processing.png

HERE ARE A FEW WAYS DEEP LEARNING MAKES AUTOMATION POSSIBLE 

Continuous-Learning.gif
Automating information extraction - With machine learning, you don't have to spend time going through images of several documents, reading information about customers, data about transactions, prices of products bought or sold, etc. OCR allows us to automatically extract information in images and convert it to machine readable text that can be put into the right structure.
Seamless-Integration.gif
Human-in-the-loop information review - Once the information is extracted, it can be reviewed by a user to make sure the information is captured and entered in the correct fields, etc. This is almost a 90% reduction in time when compared to processes that require us to read the data and enter it into a software manually.
Fields-Extraction.gif
Improving accuracy and performance - Businesses are often faced with poor data entry practices by employees leading to inaccurate information stored. This can be remedied with well trained iOCR models that can perform at least as well as humans but in a much shorter time. Continuous learning and integration will help the models get even better over time.

Nanonets can be deployed as a part of your enterprise's RPA solution or an as OCR workhorse to accurately digitize and document voluminous records. Contact us today to learn more.