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RoxyApps OCR Text Recognition Tool VS dpScreenOCR

Compare RoxyApps OCR Text Recognition Tool VS dpScreenOCR and see what are their differences

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RoxyApps OCR Text Recognition Tool logo RoxyApps OCR Text Recognition Tool

App provides accurate and fast text detection from any image file downloaded from your device or taken with a snapshot. It also supports textual detection of a PDF document

dpScreenOCR logo dpScreenOCR

Program to recognize text on screen
  • RoxyApps OCR Text Recognition Tool Landing page
    Landing page //
    2022-09-06

💥 Accurate and fast text detection from any image taken with a snapshot, screenshot, or chosen from the device. 💥 Textual detection of a PDF document and handwritten text with further translation to 114 languages. 💥 A friendly, clear, and convenient design makes working with the application easy and understandable.

  • Supported formats: JPEG, PNG8, PNG24, GIF, Animated GIF (first frame only), BMP, WEBP, RAW, ICO, TIFF, PDF (currently not more than 20 pages, but we are working on expanding the functionality).

  • Text recognition feature is able to detect a wide variety of languages and can detect multiple languages within a single image.

🔥 Check it out, you have nothing to lose!

  • dpScreenOCR Landing page
    Landing page //
    2023-09-11

Category Popularity

0-100% (relative to RoxyApps OCR Text Recognition Tool and dpScreenOCR)

RoxyApps OCR Text Recognition Tool

dpScreenOCR

OCR
14 14%
OCR
86% 86
Productivity
100 100%
Productivity
0% 0
Tool
0 0%
Tool
100% 100
Small Business
100 100%
Small Business
0% 0

User comments

Share your experience with using RoxyApps OCR Text Recognition Tool and dpScreenOCR. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, dpScreenOCR seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RoxyApps OCR Text Recognition Tool mentions (0)

We have not tracked any mentions of RoxyApps OCR Text Recognition Tool yet. Tracking of RoxyApps OCR Text Recognition Tool recommendations started around Mar 2021.

dpScreenOCR mentions (4)

  • My company disabled the copy to clipboard of ChatGPT
    Use this: https://danpla.github.io/dpscreenocr/ I set it on Ctrl+Q shortcut. It takes screenshot and transcribe text from the image. The text is automatically copied to clipboard for you. Its English OCR is top-notched. Its other languages are pretty good as well. Still, you'll need to fix the formats a bit. Source: 11 months ago
  • Fast OCR to clipboard
    I use dpScreenOCR but I replace the included Tesseract trained data by the tessdata_best repo. Source: over 1 year ago
  • Feature Idea: OCR and image content detection in tracker-miner
    You may want to start more simply by helping dpscreenocr work on Wayland: https://danpla.github.io/dpscreenocr/ ,. Source: over 1 year ago
  • Rikaichamp was renamed 10ten and got some new features including new look and touch-screen support
    Theres a few programs that I use when reading mangas there capature2text dpscreenocr and sharex all copy to the clipboard. Source: almost 3 years ago

What are some alternatives?

When comparing RoxyApps OCR Text Recognition Tool and dpScreenOCR, you can also consider the following products

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

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

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

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

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!

KanjiTomo - KanjiTomo is a OCR program for identifying Japanese text from images.

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