Best Video Surveillance Software
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Compare the Top Video Surveillance Software as of December 2025
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What is Video Surveillance Software?
Video surveillance software allows businesses, organizations, and individuals to monitor and manage video footage from security cameras in real-time or through recorded playback. These platforms typically offer features like motion detection, facial recognition, remote access, and alert notifications for suspicious activity. Video surveillance software can integrate with a variety of cameras and security systems, enabling centralized monitoring and efficient video storage management. By using this software, users can enhance security, improve incident response times, and ensure compliance with regulations, while maintaining a high level of surveillance control. Compare and read user reviews of the best Video Surveillance software currently available using the table below. This list is updated regularly.
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AI Verse
AI Verse
When real-life data capture is challenging, we generate diverse, fully labeled image datasets. Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy. AI Verse empowers users with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development. -
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OpenText Unstructured Data Analytics
OpenText
OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights.
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