Software Alternatives, Accelerators & Startups

Greenshot VS OpenCV

Compare Greenshot VS OpenCV and see what are their differences

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Greenshot logo Greenshot

Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Greenshot Landing page
    Landing page //
    2018-09-30
  • OpenCV Landing page
    Landing page //
    2023-07-29

Greenshot features and specs

  • Open Source
    Greenshot is an open-source tool, meaning it is free to use and has a transparent development process. Users can view, modify, and distribute the source code.
  • Lightweight
    Greenshot has a small footprint and runs efficiently, making it suitable for use on older or less powerful systems without significantly impacting performance.
  • Customizable
    The tool offers various configuration options, allowing users to tailor the screenshot capture process and output to their specific needs.
  • Annotation Tool
    Greenshot includes built-in annotation tools, enabling users to edit, highlight, and add notes to their screenshots directly within the application.
  • Multiple Export Options
    Users can save screenshots in various formats or directly upload them to cloud services or share them via email, making it versatile for different use cases.

Possible disadvantages of Greenshot

  • Windows-Centric
    Greenshot primarily supports Windows. Users on macOS and Linux might find it less optimized or need to seek alternative solutions.
  • Learning Curve
    Although versatile, the extensive features and customization options might present a learning curve for new users, particularly those unfamiliar with screenshot tools.
  • Limited Advanced Editing
    While Greenshot offers annotation tools, it lacks advanced image editing capabilities found in more comprehensive graphic design software.
  • Occasional Bugs
    As with many open-source projects, users may encounter occasional bugs or stability issues, requiring community support or patience for fixes.
  • No Video Capture
    Greenshot is designed exclusively for capturing static screenshots and does not support video or GIF recording, unlike some of its competitors.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Analysis of Greenshot

Overall verdict

  • Overall, Greenshot is a recommended screenshot tool due to its comprehensive features that cater to both basic and advanced screenshot needs while being resource-efficient.

Why this product is good

  • Greenshot is considered a good tool by many users due to its simplicity, ease of use, and powerful features that are highly beneficial for creating and editing screenshots. It offers various annotation tools, multiple output options, and integration with other services which enhance productivity and documentation processes.

Recommended for

  • Students who need to include annotated screenshots in their reports or presentations.
  • Office workers who frequently share screen captures in emails or documents.
  • Software developers and testers who require detailed screenshots for bug reporting and documentation.
  • Anyone looking for an easy-to-use, free, and reliable screenshot tool.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

Greenshot videos

My Greenshot Review 2017

More videos:

  • Tutorial - Complete Greenshot Tutorial for Beginners | Best Screen Capture Tool for Windows 10
  • Review - Greenshot Screenshot App Review

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Greenshot and OpenCV)
Screenshot Annotation
100 100%
0% 0
Data Science And Machine Learning
Screenshots
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Greenshot and OpenCV

Greenshot Reviews

Top 13 Free Snagit Alternatives For 2021
Greenshot is a free and open source screen-capture tool that can serve as a Snagit free alternative for Windows 7. It is quite unfortunate that Greenshot is only compatible with Windows, but hey, it’s free, so we can’t judge.
Source: screenrec.com
15 Best Snagit Alternatives in 2020
Greenshot is an open source screen capture tool. This tool allows you to quickly capture screenshots of a selected region, window, or entire screen. It also helps you to capture scrolling web pages from the Internet Explorer and other browsers.
Source: www.guru99.com
30 Best Free Screen Capture Tools and Plugins
Greenshot can capture any region on the screen or a web page and present the options to annotate or highlight parts of the shot. Interestingly, it provides an option to save the file or upload it to Flickr or Picasa. But it runs only on Windows PC.

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Social recommendations and mentions

Based on our record, Greenshot should be more popular than OpenCV. It has been mentiond 117 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.

Greenshot mentions (117)

  • Flameshot – Powerful, yet simple to use open-source screenshot software
    For the last 10(ish) years I've been using Greenshot [1]. I haven't found any issues with it but it is only available on Windows and Mac. [1] https://getgreenshot.org/. - Source: Hacker News / 12 months ago
  • Help removing ads on https://getgreenshot.org/
    Just looking for filters to remove ad space on https://getgreenshot.org/. There is a space at the top on one on the right side. Thanks! Source: over 1 year ago
  • How to get rid of the dialog box after print screen ?
    This is a program installed called Greenshot. It's a utility used for taking screenshots. If you want it to go away, you can uninstall greenshot. Source: over 1 year ago
  • This guy just dropped the BEST MOD of the month and yall dont talk abt it ????
    Here's a useful free software for that https://getgreenshot.org/. Source: almost 2 years ago
  • I opened Start and I searched for Snipping Tool to capture this!
    I had to install Greenshot once for a class and now I use it for all of my screenshots. Source: almost 2 years ago
View more

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 16 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 29 days ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Greenshot and OpenCV, you can also consider the following products

ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

LightShot - The fastest way to take a customizable screenshot.

NumPy - NumPy is the fundamental package for scientific computing with Python

Snagit - Screen Capture Software for Windows and Mac

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.