# Top 10 OpenCV Alternatives & Competitors **Average Rating:** 4.5/5 **Total Number of Reviews:** 40 Explore the best alternatives to OpenCV for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to OpenCV include features and projects. 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](https://www.g2.com/categories/image-recognition) but may also be in [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms). ## Best Paid & Free Alternatives to OpenCV - [Google Cloud Vision API](https://www.g2.com/products/google-cloud-vision-api/reviews) - [Microsoft Computer Vision API](https://www.g2.com/products/microsoft-computer-vision-api/reviews) - [Amazon Rekognition](https://www.g2.com/products/amazon-rekognition/reviews) - [scikit-image](https://www.g2.com/products/scikit-image/reviews) - [Azure Face API](https://www.g2.com/products/azure-face-api/reviews) - [SimpleCV](https://www.g2.com/products/simplecv/reviews) - [Deepdream](https://www.g2.com/products/deepdream/reviews) - [Clarifai](https://www.g2.com/products/clarifai/reviews) - [Azure Custom Vision Service](https://www.g2.com/products/azure-custom-vision-service/reviews) - [DeepPy](https://www.g2.com/products/deeppy/reviews) ## 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, Financial Services, and Medical Devices, and find the best product for your business. ### 1. [Google Cloud Vision API](https://www.g2.com/products/google-cloud-vision-api/reviews) By Google **Average Rating:** 4.4/5 **Total Reviews:** 84 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. Reviewers say compared to OpenCV, Google Cloud Vision API is: - Slower to reach roi - More expensive - More usable Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Google Cloud Vision API](https://www.g2.com/compare/google-cloud-vision-api-vs-opencv) **Compare Google Cloud Vision API with other alternatives:** - [Google Cloud Vision API vs Microsoft Computer Vision API](https://www.g2.com/compare/google-cloud-vision-api-vs-microsoft-computer-vision-api) - [Google Cloud Vision API vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-google-cloud-vision-api) - [Google Cloud Vision API vs scikit-image](https://www.g2.com/compare/google-cloud-vision-api-vs-scikit-image) - [Google Cloud Vision API vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-google-cloud-vision-api) - [Google Cloud Vision API vs SimpleCV](https://www.g2.com/compare/google-cloud-vision-api-vs-simplecv) - [Google Cloud Vision API vs Deepdream](https://www.g2.com/compare/deepdream-vs-google-cloud-vision-api) - [Google Cloud Vision API vs Clarifai](https://www.g2.com/compare/clarifai-vs-google-cloud-vision-api) - [Google Cloud Vision API vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-google-cloud-vision-api) - [Google Cloud Vision API vs DeepPy](https://www.g2.com/compare/deeppy-vs-google-cloud-vision-api) ### 2. [Microsoft Computer Vision API](https://www.g2.com/products/microsoft-computer-vision-api/reviews) By Microsoft **Average Rating:** 4.1/5 **Total Reviews:** 48 The Microsoft Computer Vision API is a cloud-based service that provides advanced algorithms to process and analyze visual data from images and videos. It enables developers to extract rich information, facilitating the development of applications that can interpret and understand visual content. Key Features and Functionality: - Image Analysis: Detects and classifies objects, scenes, and activities within images, offering detailed content understanding. - Optical Character Recognition (OCR): Accurately extracts printed and handwritten text from images and documents in multiple languages. - Intelligent Tagging and Captioning: Generates descriptive tags and captions to enhance content searchability and accessibility. - Facial Detection: Identifies faces, estimates age, gender, and emotions, enabling secure authentication workflows. - Spatial Analysis: Understands how people move through a physical space in near-real time. Primary Value and Solutions Provided: The Microsoft Computer Vision API automates the extraction of meaningful information from visual content, reducing the need for manual image review and data entry. It enhances customer experiences by enabling applications to adapt to visual inputs in real time. Additionally, it improves compliance and security through features like sensitive content detection and facial recognition for authentication. By integrating this API, businesses can streamline operations, develop intelligent applications, and gain deeper insights from their visual data. Reviewers say compared to OpenCV, Microsoft Computer Vision API is: - Slower to reach roi - More expensive - More usable Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Microsoft Computer Vision API](https://www.g2.com/compare/microsoft-computer-vision-api-vs-opencv) **Compare Microsoft Computer Vision API with other alternatives:** - [Microsoft Computer Vision API vs Google Cloud Vision API](https://www.g2.com/compare/google-cloud-vision-api-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs scikit-image](https://www.g2.com/compare/microsoft-computer-vision-api-vs-scikit-image) - [Microsoft Computer Vision API vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs SimpleCV](https://www.g2.com/compare/microsoft-computer-vision-api-vs-simplecv) - [Microsoft Computer Vision API vs Deepdream](https://www.g2.com/compare/deepdream-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs Clarifai](https://www.g2.com/compare/clarifai-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-microsoft-computer-vision-api) - [Microsoft Computer Vision API vs DeepPy](https://www.g2.com/compare/deeppy-vs-microsoft-computer-vision-api) ### 3. [Amazon Rekognition](https://www.g2.com/products/amazon-rekognition/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.3/5 **Total Reviews:** 28 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. Reviewers say compared to OpenCV, Amazon Rekognition is: - Slower to reach roi - More expensive - Easier to set up Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-opencv) **Compare Amazon Rekognition with other alternatives:** - [Amazon Rekognition vs Google Cloud Vision API](https://www.g2.com/compare/amazon-rekognition-vs-google-cloud-vision-api) - [Amazon Rekognition vs Microsoft Computer Vision API](https://www.g2.com/compare/amazon-rekognition-vs-microsoft-computer-vision-api) - [Amazon Rekognition vs scikit-image](https://www.g2.com/compare/amazon-rekognition-vs-scikit-image) - [Amazon Rekognition vs Azure Face API](https://www.g2.com/compare/amazon-rekognition-vs-azure-face-api) - [Amazon Rekognition vs SimpleCV](https://www.g2.com/compare/amazon-rekognition-vs-simplecv) - [Amazon Rekognition vs Deepdream](https://www.g2.com/compare/amazon-rekognition-vs-deepdream) - [Amazon Rekognition vs Clarifai](https://www.g2.com/compare/amazon-rekognition-vs-clarifai) - [Amazon Rekognition vs Azure Custom Vision Service](https://www.g2.com/compare/amazon-rekognition-vs-azure-custom-vision-service) - [Amazon Rekognition vs DeepPy](https://www.g2.com/compare/amazon-rekognition-vs-deeppy) ### 4. [scikit-image](https://www.g2.com/products/scikit-image/reviews) By The Libra Toolkit **Average Rating:** 4.4/5 **Total Reviews:** 13 scikit-image is a collection of algorithms for image processing. Reviewers say compared to OpenCV, scikit-image is: - Slower to reach roi - More usable - Easier to set up Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs scikit-image](https://www.g2.com/compare/opencv-vs-scikit-image) **Compare scikit-image with other alternatives:** - [scikit-image vs Google Cloud Vision API](https://www.g2.com/compare/google-cloud-vision-api-vs-scikit-image) - [scikit-image vs Microsoft Computer Vision API](https://www.g2.com/compare/microsoft-computer-vision-api-vs-scikit-image) - [scikit-image vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-scikit-image) - [scikit-image vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-scikit-image) - [scikit-image vs SimpleCV](https://www.g2.com/compare/simplecv-vs-scikit-image) - [scikit-image vs Deepdream](https://www.g2.com/compare/deepdream-vs-scikit-image) - [scikit-image vs Clarifai](https://www.g2.com/compare/clarifai-vs-scikit-image) - [scikit-image vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-scikit-image) - [scikit-image vs DeepPy](https://www.g2.com/compare/deeppy-vs-scikit-image) ### 5. [Azure Face API](https://www.g2.com/products/azure-face-api/reviews) By Microsoft **Average Rating:** 3.8/5 **Total Reviews:** 12 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. Reviewers say compared to OpenCV, Azure Face API is: - Slower to reach roi - More expensive - Easier to set up Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-opencv) **Compare Azure Face API with other alternatives:** - [Azure Face API vs Google Cloud Vision API](https://www.g2.com/compare/azure-face-api-vs-google-cloud-vision-api) - [Azure Face API vs Microsoft Computer Vision API](https://www.g2.com/compare/azure-face-api-vs-microsoft-computer-vision-api) - [Azure Face API vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-azure-face-api) - [Azure Face API vs scikit-image](https://www.g2.com/compare/azure-face-api-vs-scikit-image) - [Azure Face API vs SimpleCV](https://www.g2.com/compare/azure-face-api-vs-simplecv) - [Azure Face API vs Deepdream](https://www.g2.com/compare/azure-face-api-vs-deepdream) - [Azure Face API vs Clarifai](https://www.g2.com/compare/azure-face-api-vs-clarifai) - [Azure Face API vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-azure-face-api) - [Azure Face API vs DeepPy](https://www.g2.com/compare/azure-face-api-vs-deeppy) ### 6. [SimpleCV](https://www.g2.com/products/simplecv/reviews) By Sight Machine **Average Rating:** 4.5/5 **Total Reviews:** 10 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. Reviewers say compared to OpenCV, SimpleCV is: - More usable - Better at meeting requirements - Better at support Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs SimpleCV](https://www.g2.com/compare/opencv-vs-simplecv) **Compare SimpleCV with other alternatives:** - [SimpleCV vs Google Cloud Vision API](https://www.g2.com/compare/google-cloud-vision-api-vs-simplecv) - [SimpleCV vs Microsoft Computer Vision API](https://www.g2.com/compare/microsoft-computer-vision-api-vs-simplecv) - [SimpleCV vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-simplecv) - [SimpleCV vs scikit-image](https://www.g2.com/compare/simplecv-vs-scikit-image) - [SimpleCV vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-simplecv) - [SimpleCV vs Deepdream](https://www.g2.com/compare/deepdream-vs-simplecv) - [SimpleCV vs Clarifai](https://www.g2.com/compare/clarifai-vs-simplecv) - [SimpleCV vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-simplecv) - [SimpleCV vs DeepPy](https://www.g2.com/compare/deeppy-vs-simplecv) ### 7. [Deepdream](https://www.g2.com/products/deepdream/reviews) By Google **Average Rating:** 3.8/5 **Total Reviews:** 13 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: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Deepdream](https://www.g2.com/compare/deepdream-vs-opencv) **Compare Deepdream with other alternatives:** - [Deepdream vs Google Cloud Vision API](https://www.g2.com/compare/deepdream-vs-google-cloud-vision-api) - [Deepdream vs Microsoft Computer Vision API](https://www.g2.com/compare/deepdream-vs-microsoft-computer-vision-api) - [Deepdream vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-deepdream) - [Deepdream vs scikit-image](https://www.g2.com/compare/deepdream-vs-scikit-image) - [Deepdream vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-deepdream) - [Deepdream vs SimpleCV](https://www.g2.com/compare/deepdream-vs-simplecv) - [Deepdream vs Clarifai](https://www.g2.com/compare/clarifai-vs-deepdream) - [Deepdream vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-deepdream) - [Deepdream vs DeepPy](https://www.g2.com/compare/deeppy-vs-deepdream) ### 8. [Clarifai](https://www.g2.com/products/clarifai/reviews) By Clarifai **Average Rating:** 4.3/5 **Total Reviews:** 66 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. Reviewers say compared to OpenCV, Clarifai is: - More expensive - More usable - Easier to admin Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Clarifai](https://www.g2.com/compare/clarifai-vs-opencv) **Compare Clarifai with other alternatives:** - [Clarifai vs Google Cloud Vision API](https://www.g2.com/compare/clarifai-vs-google-cloud-vision-api) - [Clarifai vs Microsoft Computer Vision API](https://www.g2.com/compare/clarifai-vs-microsoft-computer-vision-api) - [Clarifai vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-clarifai) - [Clarifai vs scikit-image](https://www.g2.com/compare/clarifai-vs-scikit-image) - [Clarifai vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-clarifai) - [Clarifai vs SimpleCV](https://www.g2.com/compare/clarifai-vs-simplecv) - [Clarifai vs Deepdream](https://www.g2.com/compare/clarifai-vs-deepdream) - [Clarifai vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-clarifai) - [Clarifai vs DeepPy](https://www.g2.com/compare/clarifai-vs-deeppy) ### 9. [Azure Custom Vision Service](https://www.g2.com/products/azure-custom-vision-service/reviews) By Microsoft **Average Rating:** 4.3/5 **Total Reviews:** 12 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. Reviewers say compared to OpenCV, Azure Custom Vision Service is: - Slower to reach roi - More expensive - More usable Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-opencv) **Compare Azure Custom Vision Service with other alternatives:** - [Azure Custom Vision Service vs Google Cloud Vision API](https://www.g2.com/compare/azure-custom-vision-service-vs-google-cloud-vision-api) - [Azure Custom Vision Service vs Microsoft Computer Vision API](https://www.g2.com/compare/azure-custom-vision-service-vs-microsoft-computer-vision-api) - [Azure Custom Vision Service vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-azure-custom-vision-service) - [Azure Custom Vision Service vs scikit-image](https://www.g2.com/compare/azure-custom-vision-service-vs-scikit-image) - [Azure Custom Vision Service vs Azure Face API](https://www.g2.com/compare/azure-custom-vision-service-vs-azure-face-api) - [Azure Custom Vision Service vs SimpleCV](https://www.g2.com/compare/azure-custom-vision-service-vs-simplecv) - [Azure Custom Vision Service vs Deepdream](https://www.g2.com/compare/azure-custom-vision-service-vs-deepdream) - [Azure Custom Vision Service vs Clarifai](https://www.g2.com/compare/azure-custom-vision-service-vs-clarifai) - [Azure Custom Vision Service vs DeepPy](https://www.g2.com/compare/azure-custom-vision-service-vs-deeppy) ### 10. [DeepPy](https://www.g2.com/products/deeppy/reviews) By DeepPy **Average Rating:** 4.1/5 **Total Reviews:** 12 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. Reviewers say compared to OpenCV, DeepPy is: - More expensive - Easier to set up - More usable Categories in common with OpenCV: [Image Recognition](https://www.g2.com/categories/image-recognition) **Compare:** [OpenCV vs DeepPy](https://www.g2.com/compare/deeppy-vs-opencv) **Compare DeepPy with other alternatives:** - [DeepPy vs Google Cloud Vision API](https://www.g2.com/compare/deeppy-vs-google-cloud-vision-api) - [DeepPy vs Microsoft Computer Vision API](https://www.g2.com/compare/deeppy-vs-microsoft-computer-vision-api) - [DeepPy vs Amazon Rekognition](https://www.g2.com/compare/amazon-rekognition-vs-deeppy) - [DeepPy vs scikit-image](https://www.g2.com/compare/deeppy-vs-scikit-image) - [DeepPy vs Azure Face API](https://www.g2.com/compare/azure-face-api-vs-deeppy) - [DeepPy vs SimpleCV](https://www.g2.com/compare/deeppy-vs-simplecv) - [DeepPy vs Deepdream](https://www.g2.com/compare/deeppy-vs-deepdream) - [DeepPy vs Clarifai](https://www.g2.com/compare/clarifai-vs-deeppy) - [DeepPy vs Azure Custom Vision Service](https://www.g2.com/compare/azure-custom-vision-service-vs-deeppy) ## Explore Articles - [What's the top pricing platform for software industry](https://www.g2.com/discussions/what-s-the-top-pricing-platform-for-software-industry) - [Most popular CDP solutions for a growing tech business](https://www.g2.com/discussions/most-popular-cdp-solutions-for-a-growing-tech-business) - [Branding Agencies in Phoenix](https://www.g2.com/categories/branding-agencies/locations/phoenix-az-us) - [Most popular influencer marketing platform among startups](https://www.g2.com/discussions/most-popular-influencer-marketing-platform-among-startups) - [What are the most trusted employee perks platforms by HR directors managing large workforces at enterprise companies based on user reviews?](https://www.g2.com/discussions/what-are-the-most-trusted-employee-perks-platforms-by-hr-directors-managing-large-workforces-at-enterprise-companies-based-on-user-reviews) - [Best Remote Desktop Software](https://www.g2.com/discussions/what-is-your-favorite-remote-desktop-software) ## Spotlight Categories - [Event Registration and Ticketing Software](https://www.g2.com/categories/event-registration-ticketing) - [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) - [Virtual Data Room Software](https://www.g2.com/categories/virtual-data-room-vdr)