The latest articles on DEV Community by John (@jucateck). https://dev.to/jucateck https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3774925%2Fd79b7b3e-95a3-468b-9cc0-ce2c82dbf752.png https://dev.to/jucateck en John Mon, 16 Feb 2026 21:21:32 +0000 https://dev.to/jucateck/build-and-run-real-time-media-pipelines-speech-to-text-voice-agents-live-audio-processing-m8p https://dev.to/jucateck/build-and-run-real-time-media-pipelines-speech-to-text-voice-agents-live-audio-processing-m8p <p>With StreamKit.dev one can build and run real-time media pipelines on your own infrastructure. Speech-to-text, voice agents, live audio processing — composable, observable, self-hosted. It is totally open source. Full references and description at <a href="https://streamkit.dev/" rel="noopener noreferrer">https://streamkit.dev/</a></p> <p>Who is this for?<br> StreamKit is built for developers who need to process real-time media — whether you’re building voice features for an app, prototyping an AI audio pipeline, or self-hosting alternatives to cloud speech APIs.</p> <p>What you can build<br> Live transcription — Ingest audio via MoQ, run Whisper or SenseVoice STT, stream transcription updates to clients<br> Voice agents — TTS-powered bots using Kokoro, Piper, or Matcha that respond to audio input<br> Real-time translation — Bilingual streams with live subtitles using NLLB or Helsinki models<br> Audio processing — Mixing, gain control, format conversion, encoding/decoding pipelines<br> Content analysis — VAD for speech detection, keyword spotting, or custom safety filters.</p> <p>one can try the powerful engine at <a href="https://demo.streamkit.dev/" rel="noopener noreferrer">https://demo.streamkit.dev/</a> </p> ai opensource startup agents