Software Alternatives, Accelerators & Startups

Smart OCR VS Nanonets OCR

Compare Smart OCR VS Nanonets OCR and see what are their differences

Smart OCR logo Smart OCR

Shrewd OCR is the brand new way to deal with a lot of paper work.

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning
  • Smart OCR Landing page
    Landing page //
    2020-01-19
  • Nanonets OCR Landing page
    Landing page //
    2022-03-22

Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.

Smart OCR

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Nanonets OCR

$ Details
freemium $99.0 / Monthly
Platforms
Browser iOS Android Windows REST API
Release Date
2019 August

Category Popularity

0-100% (relative to Smart OCR and Nanonets OCR)
OCR
16 16%
84% 84
Image Recognition
100 100%
0% 0
OCR API
0 0%
100% 100
PDF Tools
100 100%
0% 0

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What are some alternatives?

When comparing Smart OCR and Nanonets OCR, you can also consider the following products

Onlineocr.net - Free Online OCR service allows you to convert PDF document to MS Word file, scanned images to editable text formats and extract text from JPEG/TIFF/BMP files

Pen to Print - Pen to Print: Convert handwriting to text created and published by Serendi LTD.

OCR.space - The OCR.

Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.

Tesseract - Tesseract is an optical character recognition engine for various operating systems

Pen2txt - Transform handwritten notes into digital text with Pen2txt: the ultimate AI companion for flawless Handwritten Text Recognition (HTR). Combining OCR and AI for accurate, searchable, and editable results. Ideal for anyone digitizing documents.