Top Free Video Analysis tools, APIs, and Open Source models

What is Video Content Analysis API?

Video Analysis, or Video Content Analysis (VCA), is a facet of Artificial Intelligence that utilizes machine learning formulas to analyze and comprehend video data. VCA involves scrutinizing, interpreting and distilling information from video footage for numerous uses.

This procedure can be done mechanically or by hand and is extensively used in many industries, such as surveillance, sports, entertainment, medical research and transportation. You can choose between several Video Analysis functionalities to meet your needs such as object detection, object tracking, face detection, people tracking, text detection, explicit content detection and logo detection.

In Video Analysis, videos are usually evaluated to extract significant details, such as things, scenes, and happenings, which are subsequently examined for insights, decision-making, or pattern recognition.

For instance, in sports, footage of a game can be scrutinized to follow a player's movements and strategies, evaluate their performance, and highlight areas for improvement. In surveillance, video analysis has the ability to uncover and trail doubtful actions, observe crowd movements, and aid investigations.

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Top Open Source (Free) Video Analysis models on the market

For users seeking a cost-effective engine, opting for an open-source model is recommended. Here is the list of the best Video Analysis Open Source Models:

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1‍. Video Analysis

This is an open source model for video analysis.

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2. OpenPose

OpenPose is the initial real-time multi-person system to simultaneously spot 135 key points of the human body, hands, face, and feet on single images. It can be used for tasks like pose estimation, facial landmark detection, and hand tracking.

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3. DeepSort

This repository has code for Basic Online and Real-time Tracking using a Deep Association Metric (Deep SORT). We added appearance information integration using a deep appearance descriptor to the original SORT algorithm.

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4. DensePose

This is a video analysis open source model created by Facebook. DensePose is a scheme for computing detailed human posture. It can decipher the pose of people in images and videos.

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5. OpenCV

OpenCV is a popular library for computer vision. It has tools to analyze video like tracking objects, analyzing motion, and changing video. This library is vast and can handle many different tasks related to computer vision.

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Cons of Using Open Source AI models

‍While open source models offer many advantages, they also have potential drawbacks and challenges. Here are some cons of using open source models:

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• Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear hosting and server usage expenses, especially when dealing with large or resource-intensive data sets.
• Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
• Limited Documentation: Some open source models may need more complete or better-maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
• Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
• Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

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Why choose Eden AI?

Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $10 credits for you to explore our APIs.

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Access VCA providers with one API

Our standardized API enables you to integrate VCA APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):

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• AWS
• Google Cloud

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1. AWS- Available on Eden AI

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Amazon Rekognition Video provides various video analysis functions, such as recognizing faces, detecting objects and scenes, identifying text, and recognizing famous people.

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2. Google Cloud- Available on Eden AI

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Google Cloud Video Intelligence is a favorite for businesses that need rapid video analysis as it processes videos quickly and provides live video stream analysis. Shot detection, object tracking, and speaker diarization are among its sophisticated features.

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Pricing Structure for Video Content Analysis API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.

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How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

• Centralized and fully monitored billing on Eden AI for Video Content Analysis APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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You can see Eden AI documentation here.

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Next step in your project

The Eden AI team can help you with your Video Content Analysis integration project. This can be done by :

• Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

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