2 Integrations with Logitech Capture
View a list of Logitech Capture integrations and software that integrates with Logitech Capture below. Compare the best Logitech Capture integrations as well as features, ratings, user reviews, and pricing of software that integrates with Logitech Capture. Here are the current Logitech Capture integrations in 2026:
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Xyte
Xyte
Xyte delivers comprehensive benefits to the entire AV ecosystem by providing a single interface to manage all AV, UC, and intelligent building devices and spaces in the cloud. Leveraging AI-powered automation, Xyte enables in-house AV and IT departments to gain full visibility over their entire device fleet, reducing downtime, minimizing business interruption risk, and extending device lifespans. System integrators and dealers leverage Xyte to launch and expand their managed services business, creating recurring revenue streams through proactive, AI-driven support and comprehensive device monitoring. Hardware manufacturers use Xyte’s award-winning device management and commerce platform to connect their products to the cloud, remotely manage and support those devices, introduce premium feature upgrades, and build a foundation for powerful new subscription models.Starting Price: $1.99 per month -
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Project G-Assist
NVIDIA
NVIDIA's Project G-Assist is an AI assistant designed to enhance the gaming experience for GeForce RTX users by providing system optimization, real-time diagnostics, and peripheral customization through simple voice or text commands. Integrated within the NVIDIA app, G-Assist can adjust game settings for optimal performance or image quality, monitor and chart key performance metrics like frame rates and system latency, and manage lighting effects on compatible devices from brands such as Logitech, Corsair, MSI, and Nanoleaf. By leveraging a locally run Small Language Model (SLM), G-Assist ensures responsive and offline operation without the need for cloud connectivity. Users can activate G-Assist via the NVIDIA app overlay or by pressing Alt+G, and it utilizes the GeForce RTX GPU to perform AI inference tasks. Developers and enthusiasts can extend G-Assist's capabilities through a community-driven plugin architecture, with resources and sample plugins available.
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