Software Alternatives, Accelerators & Startups

dpScreenOCR VS NormCap

Compare dpScreenOCR VS NormCap and see what are their differences

dpScreenOCR logo dpScreenOCR

Program to recognize text on screen

NormCap logo NormCap

NormCap is one of the smart programs that allows optical character recognition, enabling you to mark anything on the desktop to retrieve the text part of it and get it copied to the Windows clipboard.
  • dpScreenOCR Landing page
    Landing page //
    2023-09-11
  • NormCap Landing page
    Landing page //
    2023-04-30

dpScreenOCR features and specs

  • User-Friendly Interface
    dpScreenOCR offers a simple and intuitive user interface that makes it easy for users to capture and recognize text from their screen.
  • High Accuracy
    The tool provides high accuracy in optical character recognition, ensuring that the captured text closely matches the original content.
  • Support for Multiple Languages
    dpScreenOCR supports multiple languages, allowing users to recognize text in various languages seamlessly.
  • Fast Processing
    It processes screenshots quickly, enabling users to obtain text recognition results almost instantaneously.
  • Free to Use
    dpScreenOCR is available for free, making it accessible to a wide range of users without any cost barrier.

Possible disadvantages of dpScreenOCR

  • Limited to Windows
    The software is only available for Windows operating systems, which may limit its accessibility for users on other platforms.
  • Requires Internet Connection
    While processing is fast, it may need an internet connection for certain features, which can be a limitation for users in offline environments.
  • Basic Feature Set
    The tool offers a basic set of features and might not cater to advanced OCR needs or provide additional functionalities such as batch processing.
  • Potential Privacy Concerns
    As with any screen capture tool, there may be privacy concerns depending on how the software handles data, though the specifics would need to be reviewed.

NormCap features and specs

  • Cross-platform Compatibility
    NormCap is designed to work across multiple platforms, providing flexibility and ease of use regardless of the operating system.
  • Open Source
    Being open-source allows for community contributions, transparency, and the ability to modify the software according to specific needs.
  • OCR Accuracy
    Utilizes OCR technology to accurately capture and recognize text from images, making it a useful tool for digitizing printed documents.
  • Ease of Installation
    Available on PyPI, making it easy to install and integrate into existing Python environments using simple pip commands.
  • Active Development
    Regular updates and an active development community ensure that the tool keeps improving and adapting to user needs and technological advancements.

Possible disadvantages of NormCap

  • Dependency on Tesseract
    Relies on Tesseract OCR engine, which might require additional setup and configuration, potentially complicating the initial installation for users unfamiliar with it.
  • Image Quality Sensitivity
    OCR performance can be affected by the quality of the input images, requiring high-quality images for the best results.
  • Limited Language Support
    While Tesseract supports multiple languages, configuration and language packs are needed, potentially limiting the ease of use for non-English texts.
  • Resource Intensive
    OCR processes can be resource-intensive, which might slow down the tool on devices with limited computational power.
  • Learning Curve
    Users unfamiliar with OCR technologies or Python environments might face a learning curve in effectively utilizing NormCap.

Category Popularity

0-100% (relative to dpScreenOCR and NormCap)
OCR
66 66%
34% 34
Tool
58 58%
42% 42
Image Recognition
73 73%
27% 27
Word
62 62%
38% 38

User comments

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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.

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: almost 2 years ago
  • Fast OCR to clipboard
    I use dpScreenOCR but I replace the included Tesseract trained data by the tessdata_best repo. Source: over 2 years 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: almost 3 years 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 4 years ago

NormCap mentions (0)

We have not tracked any mentions of NormCap yet. Tracking of NormCap recommendations started around Jul 2021.

What are some alternatives?

When comparing dpScreenOCR and NormCap, you can also consider the following products

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

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

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

Textify - A small tool which allows to copy text from dialogs and controls which don’t allow it otherwise.

ABBYY Screenshot Reader - ABBYY Screenshot Reader turns text within any image captured from your screen into an editable format without retyping

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