Nanonets, a leading provider of OCR technology, has been recognized as a Leader in OCR software by G2 Business Software Reviews for Spring 2023.
This recognition is given for software having substantial market presence and rated highly by G2 users. As of April 2023, Nanonets has received 59 reviews with an overall rating of 4.9 out of 5 stars on G2.
G2 groups all products into 4 categories on its OCR Grid rating system:
- Products in the Leader quadrant are rated highly by G2 users and have substantial Market Presence scores. Nanonets has been recognized as a Leader.
- High Performing products have high customer Satisfaction scores and low Market Presence compared to the rest of the category.
- Contender products have relatively low customer Satisfaction scores and high Market Presence compared to the rest of the category. While they may have positive reviews, they do not have enough reviews to validate those ratings.
- Niche products have relatively low Satisfaction scores and low Market Presence compared to the rest of the category. While they may have positive reviews, they do not have enough reviews to validate those ratings.
Other ratings of Nanonets from G2 include:
Ease of Use – 9.6/10 (OCR Average: 8.8)
Ease of Setup – 9.7/10 (OCR Average: 8.6)
Quality of Support – 9.4/10 (OCR Average: 9)
Recent reviews on G2
Here are some recent reviews about Nanonets on G2:
“Supplier auditing – Financial statements extraction as a purchaser”
For my use, Nanonets is saving me a few hours each week by extracting all the necessary information from financial statements into usable excel sheets. Before, there were no alternatives that worked well enough to justify the change in workflow. Now, the manual labor of extracting huge amounts of data from these PDF is reduced to a few minutes.
“Using Nanonets to digitize old data sources”
OCR techniques using deep learning – read data from image files to help machine processing of the data further down the line. Basically data is stored on a piece of paper, Nanonets helps to get the data into a machine readable format.