NAPS2 is a document scanning application with a focus on simplicity and ease of use.
Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux




EasyOCR is described as 'Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc' and is a OCR Engine in the office & productivity category. There are more than 10 alternatives to EasyOCR for a variety of platforms, including Windows, Linux, Mac, Web-based and iPad apps. The best EasyOCR alternative is NAPS2, which is both free and Open Source. Other great apps like EasyOCR are Tesseract, ABBYY FineReader PDF, GImageReader and ClarifyDocuments.
NAPS2 is a document scanning application with a focus on simplicity and ease of use.




Tesseract.js is a javascript library that gets words in almost any language out of images.

Optical recognition software boasting unmatched text accuracy converts scanned documents to editable Word, Excel, or searchable PDFs while preserving layout. Supports 190 languages, simplifies processes with automated tasks, and includes PDF editing tools.






ClarifyDocuments is a free AI tool that converts PDFs, images, and slides into clean, editable text. It automatically cleans, organizes, and processes content in any language, helping students and educators focus on learning.


OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched - jbarlow83/OCRmyPDF
OCRFeeder is a document layout analysis and optical character recognition system.




Chandra is a highly accurate OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information.

Free Online OCR is a software that allows you to convert scanned PDF and images into editable Word, Text, Excel output formats.

OwlOCR offers simple optical character recognition of text in PDF files, images or on-screen and converts that to plain text.




OCR Reader is an image to text converter program that allows you to extract text from PNG, JPEG, TIFF, WEBP, and BMP image files using Optical Character Recognition.
