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GImageReader VS PDF OCR

Compare GImageReader VS PDF OCR and see what are their differences

DocRaptor
As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

GImageReader logo GImageReader

gImageReader is a simple Gtk/Qt front-end to the Tesseract OCR Engine.

PDF OCR logo PDF OCR

PDF OCR for 39.95 USD: Editable - Edit Scanned PDF Documents like editing a text file!
  • GImageReader Landing page
    Landing page //
    2023-10-02
  • PDF OCR Landing page
    Landing page //
    2021-07-27

GImageReader videos

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A quick look at gImageReader

More videos:

  • Review - gImageReader - OCR app - ubuntu

PDF OCR videos

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Category Popularity

0-100% (relative to GImageReader and PDF OCR)

GImageReader

PDF OCR

OCR
86 86%
OCR
14% 14
PDF Tools
80 80%
PDF Tools
20% 20
Image Recognition
87 87%
Image Recognition
13% 13
PDF Creator
0 0%
PDF Creator
100% 100

User comments

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What are some alternatives?

When comparing GImageReader and PDF OCR, you can also consider the following products

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

NewOCR.com - NewOCR.com is a free online OCR (Optical Character Recognition) service. NewOCR.

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

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

Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.

pdfocr.org - Best online PDF converter in market, convert your scanned PDF to editabe DOCX, XLSX, TXT, JPG, PNG files using Optical Character Recognition (OCR) technology.

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