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Rekognition Video is a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video analyzes existing video stored in Amazon S3 and returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. | Create viral gaming clips in minutes, not hours. AI auto-detects highlights from Twitch. TikTok, Reels & YouTube Shorts ready. |
Real-time analysis of streaming video; Person identification and tracking; Face recognition; Facial analysis; Objects, scenes, and activities detection; Inappropriate video detection; Celebrity recognition; Administration via API, console, or command line; Administrative security; API summary | - 🎮 AI Valorant highlight detection (kills, aces, clutches) - ⚡ 15-20 minute processing time - 📱 Vertical 9:16 format (1080x1920) - TikTok/Reels/Shorts - 🎯 Viral potential scoring - 🕹️ Valorant-optimized (more games coming soon) - 🔊 Multimodal AI (Gemini 2.5 Flash - visual + audio) - 💾 Max 5GB video upload - 📥 HD MP4 download |
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Zencoder downloads the video and converts it to as many formats as you need. Every output is encoded concurrently, with virtually no waiting—whether you do one or one hundred. Zencoder then uploads the resulting videos to a server, CDN, an S3 bucket, or wherever you dictate in your API call.

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It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

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