Nanonets review | TechRadar


Nanonets (opens in new tab) was founded in 2017, and has its headquarters in San Francisco, California, with the mission of providing machine learning APIs for easy developer integration into their products. This company can provide offerings that go beyond traditional OCR software (opens in new tab) (optical character recognition), to provide an AI approach to document scanning (opens in new tab) and providing structured data processing. Nanonets gets used by about 10,000 customers worldwide, including well known companies such as Toyota, Sherwin Williams, Roche and Proctor and Gamble.

Nanonets: Features

The platform offers a wide range of features and tools that can help businesses process their data with ease. One of its most notable features is its advanced document classification and extraction capabilities. With Nanonets, businesses can easily train and deploy machine learning models that accurately classify and extract information from a variety of documents, such as invoices, receipts, contracts, and more. This can reduce the drudgery and time for manual data entry, which can be both laborious and costly to enter.



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