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ZapWorks VS OpenCV

Compare ZapWorks VS OpenCV and see what are their differences

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ZapWorks logo ZapWorks

ZapWorks is the complete augmented reality toolkit for agencies and businesses who want to push the boundaries of creativity and storytelling.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • ZapWorks Landing page
    Landing page //
    2023-07-27
  • OpenCV Landing page
    Landing page //
    2023-07-29

ZapWorks features and specs

  • Comprehensive AR Tools
    ZapWorks offers a wide range of tools for creating augmented reality (AR) experiences, including support for 3D models, 360-degree panoramas, and animation sequences, allowing creators to produce intricate and detailed AR experiences.
  • WebAR Support
    ZapWorks provides WebAR functionality, enabling users to experience AR content directly through web browsers without needing a dedicated app, which increases accessibility and user reach.
  • Ease of Use
    With an intuitive interface and a variety of templates, ZapWorks makes it easier for newcomers to AR to start creating engaging content, reducing the learning curve typically associated with AR design.
  • Multiplatform Outputs
    ZapWorks outputs can be viewed across multiple platforms and devices, increasing the versatility and applicability of the AR content created within the platform.
  • Active Community and Support
    ZapWorks boasts a robust support system including tutorials, guides, and a community forum, which provides users with extensive resources for troubleshooting and learning advanced techniques.

Possible disadvantages of ZapWorks

  • Pricing Model
    The pricing model for ZapWorks can be considered high for individual users or small businesses, which may restrict access to all features, especially for those with limited budgets.
  • Complexity in Advanced Features
    While ZapWorks is designed to be user-friendly, implementing more complex AR features may require a steeper learning curve and technical understanding, which can be a barrier for non-technical users.
  • Performance Limitations
    High-quality AR experiences can be resource-intensive, and some users might experience performance issues on less powerful devices when using high-end features.
  • Limited Offline Functionality
    ZapWorks primarily relies on cloud-based services, meaning that offline functionality is limited, which can be inconvenient for users looking to work without a constant internet connection.
  • Customization Constraints
    While adequate for most standard AR applications, some developers may find the platform's customization options limited when trying to implement highly specialized or non-standard features.

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.

ZapWorks videos

+ Add

ZapWorks Space Competition | Creative Review

More videos:

  • Review - ZapWorks 'Ancient History' Competition | Creative Review
  • Review - ZapWorks AR Portal Competition | Creative Review

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to ZapWorks and OpenCV)

ZapWorks

OpenCV

Augmented Reality
100 100%
Augmented Reality
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development
100 100%
Development
0% 0
Data Science Tools
0 0%
Data Science Tools
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 ZapWorks and OpenCV

ZapWorks Reviews

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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.
Source: www.labellerr.com
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.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than ZapWorks. While we know about 60 links to OpenCV, we've tracked only 4 mentions of ZapWorks. 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.

ZapWorks mentions (4)

  • End to end distribution of AR files.
    Not affiliated, engineers I work with deploy here: https://zap.works/ for webAR. You scan a QR code and animation plays - say on pointing your phone camera at a poster on the wall. Source: over 2 years ago
  • Learning some AR
    I've created a few branded AR experiences for clients and I've mostly used a dedicated app like ZappWorks. Source: over 3 years ago
  • Best AR glasses?
    If you are looking for something more accessible, I haven't tested it yet, but zap.works offers this: Https://www.zappar.com/zapbox/. Source: over 3 years ago
  • AR & AI Technologies For Virtual Fitting Room Development
    Amidst the COVID-19 pandemic, ZapWorks launched the AR-based educational app aimed to instruct users on how to wear surgical masks properly. Technically, this app is also based on a 3D facial landmark detection method. Like the glasses try-on app, this method allows receiving information about facial features and further mask rendering. - Source: dev.to / about 4 years ago

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 / 7 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 21 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 / 6 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 ZapWorks and OpenCV, you can also consider the following products

Google ARCore - Google Augmented Reality SDK

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

Vuforia SDK - Vuforia is a vision-based augmented reality software platform.

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

ARToolKit - The world's most widely used tracking library for augmented reality.

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

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