KoljaB/RealtimeTTS

Health v2 · maintenance only

Adoption not part of the score

4016 stars · 404 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

RealtimeTTS is a Python library that converts text, generators, and LLM token streams into speech audio with low latency. It supports multiple engines including local system voices, cloud APIs, local neural models, and voice cloning, with playback, streaming, and WAV file output.

Use cases

• speak llm responses aloud as tokens stream in
• add realtime voice output to a python chatbot
• convert text to speech with low latency
• clone a voice for tts in python
• stream tts audio to another process
• write synthesized speech to wav files

When to choose

• you need low-latency streaming TTS in Python, especially for LLM voice assistants
• you want to switch between local, cloud, and voice-cloning TTS engines behind one API

When to avoid

• you need offline batch synthesis of large documents rather than streaming playback
• you need a non-Python environment or unsupported platform like macOS for the native Qwen engine

Facets

library · maturity active

tts audio-processing streaming speech-processing artificial-intelligence python windows text-to-speech realtime voice-cloning llm-streaming low-latency audio linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="KoljaB/RealtimeTTS")