Show HN: Alert for real time application including video and audio

Category: observability

Tags: voice-analytics, real-time, call-monitoring

Score: 6.7/10 (Innovation: 7, Technical: 6, Documentation: 4, Utility: 7)

SF Voice provides a real-time voice analytics platform that goes beyond transcription to detect acoustic features like tone, prosody, and tension, enabling teams to query and surface insights from voice calls. It is interesting for its focus on detecting subtextual cues (interruptions, frustration) and providing AI-native structured output for LLM-based debugging. The project targets high-volume call centers and voice AI teams.

Target audience: devops, backend devs, data engineers

Repository: https://sf-voice.sh

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