Software Alternatives & Reviews

Nanonets OCR VS Easy Screen OCR

Compare Nanonets OCR VS Easy Screen OCR and see what are their differences

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning

Easy Screen OCR logo Easy Screen OCR

Easy Screen OCR helps users capture screenshot and grab text from images.
  • 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.

  • Easy Screen OCR Landing page
    Landing page //
    2023-04-02

Nanonets OCR

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

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Easy Screen OCR videos

طريقة تحويل الصور الى كتابة (برنامج رهيب يدعم اللغة العربية) مفعل Easy Screen OCR

Category Popularity

0-100% (relative to Nanonets OCR and Easy Screen OCR)
OCR
52 52%
48% 48
OCR API
100 100%
0% 0
Tool
0 0%
100% 100
Handwritten Notes
100 100%
0% 0

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What are some alternatives?

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

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.

Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.

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

TextSniper - Instantly extract any text from your Mac's screen

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.

dpScreenOCR - Program to recognize text on screen