RealtimeTTS and py3-tts

RealtimeTTS is a streaming-focused synthesis engine that could use py3-tts as an alternative offline TTS backend, making them **complements** — one optimizes for latency/interactivity while the other prioritizes simplicity and offline independence.

RealtimeTTS
84
Verified
py3-tts
55
Established
Maintenance 20/25
Adoption 19/25
Maturity 25/25
Community 20/25
Maintenance 10/25
Adoption 14/25
Maturity 25/25
Community 6/25
Stars: 3,800
Forks: 375
Downloads: 9,228
Commits (30d): 40
Language: Python
License: MIT
Stars: 30
Forks: 2
Downloads: 533
Commits (30d): 0
Language: Python
License: MPL-2.0
No risk flags
No risk flags

About RealtimeTTS

KoljaB/RealtimeTTS

Converts text to speech in realtime

Supports 15+ TTS engines (OpenAI, Elevenlabs, Azure, Coqui, Piper, and local models) with automatic fallback mechanisms for reliability, enabling flexible deployment from cloud APIs to on-device processing. Features sentence-boundary detection via NLTK or Stanza for streaming text inputs compatible with LLM outputs, minimizing latency while maintaining natural speech segmentation across multilingual content.

About py3-tts

thevickypedia/py3-tts

Offline Text To Speech library for python

Wraps platform-specific TTS engines (SAPI5 on Windows, eSpeak cross-platform, AVSpeech/NSSpeechSynthesizer on macOS) to provide a unified API for voice synthesis with configurable rate, volume, and voice selection. Supports saving audio output to files and enables voice customization across different system-installed voices without requiring external API calls or internet connectivity.

Scores updated daily from GitHub, PyPI, and npm data. How scores work