Best Video Analytics Software for Python

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Compare the Top Video Analytics Software that integrates with Python as of June 2025

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This a list of Video Analytics software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.

What is Video Analytics Software for Python?

Video analytics software uses advanced algorithms and artificial intelligence (AI) to analyze and extract meaningful insights from video footage. These platforms can process real-time video streams or recorded content to identify patterns, detect anomalies, and provide actionable information. Features often include object recognition, motion detection, facial recognition, people counting, behavior analysis, and event detection. Video analytics software is commonly used in security surveillance, retail for customer behavior analysis, traffic management, and industrial applications for monitoring processes. It helps businesses improve operational efficiency, enhance security, and make data-driven decisions based on visual content. Compare and read user reviews of the best Video Analytics software for Python currently available using the table below. This list is updated regularly.

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    Google Cloud Vision AI
    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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