Run This Ai
EN DE

WhisperLiveKit: Self-Hosted Real-Time Speech-to-Text Guide

A complete guide to WhisperLiveKit, the self-hosted real-time speech-to-text engine with streaming ASR, speaker diarization, live translation, and OpenAI/Deepgram-compatible APIs — 10,900+ GitHub stars and fully private.

🚀 Want to deploy WhisperLiveKit yourself?

Docker configs, system requirements, and installation guides — all on one page.

View WhisperLiveKit Tool Page →

Voice is becoming the default interface for AI — but sending every conversation to a cloud API raises latency, privacy, and cost concerns. WhisperLiveKit solves all three by bringing real-time speech-to-text to your own hardware. With over 10,900 GitHub stars, it has quickly become one of the most popular self-hosted transcription engines.

WhisperLiveKit live transcription demo

What Makes WhisperLiveKit Different?

Most Whisper-based tools transcribe in batches. WhisperLiveKit streams audio continuously, producing words as they are spoken — typically in under a second. It builds on Faster-Whisper and CTranslate2 to deliver high accuracy without sacrificing speed.

Core Features

FeatureWhat It Does
🎙️ Streaming ASRReal-time transcription with word-level timestamps
👥 Speaker DiarizationIdentifies who said what in multi-speaker conversations
🌍 Live TranslationTranscribes and translates across languages on the fly
🔌 Compatible APIsOpenAI- and Deepgram-compatible REST endpoints
🔒 Fully LocalAudio never leaves your machine — no cloud fees

Why Go Local?

💡 Privacy: Medical, legal, and enterprise conversations stay on-premises. Cost: no per-minute pricing — pay for hardware once. Latency: no network round-trip between your mic and the model.

Whether you are building a voice assistant, live captioning for meetings, or a multilingual support bot, WhisperLiveKit gives you a production-ready foundation — and the architecture diagram below shows how the streaming pipeline fits together.

WhisperLiveKit architecture

Get Started

WhisperLiveKit ships with a Docker image and a ready-to-use compose.yml, so you can be up and running in minutes. Head over to the tool page for system requirements and the exact deployment commands.

🚀 Ready to run WhisperLiveKit?

Get the Docker setup, hardware requirements, and installation guide on the tool page.

Deploy WhisperLiveKit →
#speech-to-text #whisper #guide #self-hosted #asr