Microsoft Computer Vision API
Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Some of the top features or benefits of Microsoft Computer Vision API are: Comprehensive Image Analysis, Multi-language Support, Scalability, Ease of Integration, and Regular Updates and Support. You can visit the info page to learn more.
Best Microsoft Computer Vision API Alternatives & Competitors in 2025
The best Microsoft Computer Vision API alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
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OpenCV is the world's biggest computer vision library
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Build powerful web apps, and create your custom AI apps, no code needed!
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Add Amazon's advanced image analysis to your applications.
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The World's AI
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Automatically extract metadata from video and audio files using Video Indexer. Improve the performance of your media content with Azure.
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AI Vision for helping businesses create smart spaces
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SimpleCV is an open source framework for building computer vision applications.
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Google's DeepDream algorithm implementation. Creates hallucinogenic dream-like visuals.
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InData Labs provides data science consulting, custom AI-powered software development, and data science training.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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A better way to find similar images
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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.
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Visionify delivers AI-powered workplace safety monitoring solutions, helping manufacturing and industrial companies detect hazards, enforce PPE compliance, and reduce workplace incidents through smart camera-based systems.