One-page printable: cascade-vs-end-to-end, the 2-3 second latency window, the speed-vs-accuracy trade-off, the WebRTC SFU sidecar pattern, the consent and provenance checks, and a side-by-side of Google Meet, OpenAI gpt-realtime-translate, Meta SeamlessStreaming, and enterprise interpretation platforms on what it is, how you get it, voice handling, language reach, and best use.
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The book · Volume 7 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals
This real-time translation architecture checklist compares cascade and end-to-end designs, the 2-3 second latency window, the WebRTC SFU sidecar pattern, consent and provenance checks and the main vendors. Volume 7 covers this topic in depth: live captions and translation, where AI enters a WebRTC pipeline, serving infrastructure, cost per stream-hour and C2PA provenance. Written by Nikolay Sapunov, CEO at Fora Soft.
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