Best Software for 2025 is now live!

Top 10 OpenCV Alternatives & Competitors

(39)4.5 out of 5

OpenCV is not the only option for Image Recognition Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to OpenCV include projects and tasks. The best overall OpenCV alternative is Google Cloud Vision API. Other similar apps like OpenCV are Microsoft Computer Vision API, Amazon Rekognition, scikit-image, and Azure Face API. OpenCV alternatives can be found in Image Recognition Software but may also be in Emotion AI Software.

Best Paid & Free Alternatives to OpenCV

  • Google Cloud Vision API
  • Microsoft Computer Vision API
  • Amazon Rekognition

Top 10 Alternatives to OpenCV Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how OpenCV stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Information Technology and Services, and Higher Education, and find the best product for your business.
    #1
  1. Google Cloud Vision API

    (88)4.4 out of 5
  2. Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Leveraging our API, developers can quickly build applications able to classify images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detect individual objects and faces within images, build metadata on image catalog, moderate offensive content, enable new marketing scenarios through image sentiment analysis, and more.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Google Cloud Vision API is:

    Slower to reach roi
    More expensive
    More usable
    #2
  3. Microsoft Computer Vision API

    (46)4.1 out of 5
  4. Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying an image URL, it analyze visual content in different ways based on inputs and user choices.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Microsoft Computer Vision API is:

    Slower to reach roi
    More expensive
    More usable
    #3
  5. Amazon Rekognition

    (28)4.3 out of 5
  6. Amazon Rekognition makes it easy to add image and video analysis to your applications. It can identify the objects, people, text, scenes, and activities, or any inappropriate content from an image or video.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Amazon Rekognition is:

    Slower to reach roi
    More expensive
    Better at support
    #4
  7. scikit-image

    (13)4.4 out of 5
  8. scikit-image is a collection of algorithms for image processing.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, scikit-image is:

    Slower to reach roi
    More usable
    Easier to set up
    #5
  9. Azure Face API

    (12)3.8 out of 5
  10. Azure Face API uses state-of-the-art cloud-based face algorithms to detect and recognize human faces in images.Its capabilities include features like face detection, face verification, and face grouping to organize faces into groups based on their visual similarity.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Azure Face API is:

    Slower to reach roi
    More expensive
    Easier to set up
    #6
  11. SimpleCV

    (10)4.5 out of 5
  12. SimpleCV is an open source framework for building computer vision applications, user can get access to several high-powered computer vision libraries such as OpenCV without having to learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, SimpleCV is:

    More usable
    Better at meeting requirements
    Better at support
    #7
  13. Deepdream

    (13)3.8 out of 5
  14. And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains, bicycles, ... ) and give it a random image and ask it what objects it can find in this image.

    Categories in common with OpenCV:
    #8
  15. Clarifai

    (59)4.3 out of 5
  16. The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Clarifai is:

    More expensive
    More usable
    Easier to admin
    #9
  17. Azure Custom Vision Service

    (12)4.3 out of 5
  18. Azure Custom Vision Service is a tool for building custom image classifiers, and for making them better over time. This service enables you to identify your own objects and things in images.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, Azure Custom Vision Service is:

    Slower to reach roi
    More expensive
    More usable
    #10
  19. DeepPy

    (12)4.1 out of 5
  20. DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible codebase, runs on CPU or Nvidia GPUs and implements the following network architectures feedforward networks, convnets, siamese networks and autoencoders.

    Categories in common with OpenCV:

    Reviewers say compared to OpenCV, DeepPy is:

    More expensive
    Easier to set up
    More usable