Software Alternatives & Reviews

Parsey VS Nanonets OCR

Compare Parsey VS Nanonets OCR and see what are their differences

Parsey logo Parsey

Connect Anything, Automate Everything

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning
  • Parsey Landing page
    Landing page //
    2022-09-01
  • 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.

Nanonets OCR

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

Category Popularity

0-100% (relative to Parsey and Nanonets OCR)
Email Automation
100 100%
0% 0
OCR
0 0%
100% 100
Email Parsing
100 100%
0% 0
OCR API
0 0%
100% 100

User comments

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What are some alternatives?

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

Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.

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.

Mailparser - Extract data from e-mails. Automate your business.

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

Parserr - Easily extract data from emails and convert it into useable, structured information. Discover the most efficient way of email data extraction that saves time and generates leads for your marketing department

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.