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WhisperLiveKit

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

★ 10,983 GitHub Apache-2.0 speech-to-textasrwhisperdiarizationstreaminglocalvoicerealtime Speech & Audio

Overview

WhisperLiveKit is a self-hosted, real-time speech-to-text engine that runs fully on your own hardware. It streams audio from your microphone or any source and transcribes it live with low latency, identifies who is speaking, and can even translate across languages on the fly. It exposes OpenAI- and Deepgram-compatible REST endpoints, so it drops into existing voice applications without code changes. No cloud dependency, no per-minute fees — your audio never leaves your machine.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  whisperlivekit:
    image: vcure/whisperlivekit:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/whisperlivekit:/data

Best VPS for WhisperLiveKit →

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Guides & articles

How to Deploy WhisperLiveKit with Docker: Step-by-Step Tutorial

Deploy WhisperLiveKit in 10 minutes with Docker. Step-by-step tutorial covering hardware requirements, running the container, verifying the health endpoint, and connecting OpenAI/Deepgram-compatible apps.

Sep 1, 2026

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.

Sep 1, 2026