TTS-Audio-Suite and ComfyUI-EdgeTTS

These are competitors offering overlapping text-to-speech functionality for ComfyUI, though the first provides broader multi-engine support (RVC, Qwen3-TTS, etc.) while the second specializes exclusively in Microsoft Edge TTS integration.

TTS-Audio-Suite
68
Established
ComfyUI-EdgeTTS
47
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 15/25
Community 18/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 13/25
Stars: 774
Forks: 71
Downloads: —
Commits (30d): 55
Language: Python
License: —
Stars: 66
Forks: 8
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-3.0
No Package No Dependents
No Package No Dependents

About TTS-Audio-Suite

diodiogod/TTS-Audio-Suite

A ComfyUI custom node integration for multi-engine multi-language Text-to-Speech and Voice Conversion. Supports: RVC, Echo-TTS, Qwen3-TTS, Cozy Voice 3, Step Audio EditX, IndexTTS-2, Chatterbox (classic and multilingual 23-lang), F5-TTS, Higgs Audio 2 and VibeVoice with unlimited text length, SRT timing, Character support, and many audio tools

Implements a modular node-based architecture within ComfyUI that abstracts 12 TTS/voice conversion engines behind unified interfaces, enabling workflows to swap engines or chain operations (transcription → subtitle timing → synthesis → voice conversion) without graph restructuring. Provides advanced subtitle authoring through SRT generation from plain text using readability algorithms, per-segment parameter switching via inline tags like `[seed:24]` or ``, and character/language switching within single text blocks—bridging traditional NLP workflows with real-time audio generation at unlimited text lengths.

About ComfyUI-EdgeTTS

1038lab/ComfyUI-EdgeTTS

ComfyUI-EdgeTTS is a powerful text-to-speech node for ComfyUI, leveraging Microsoft's Edge TTS capabilities. It enables seamless conversion of text into natural-sounding speech, supporting multiple languages and voices. Ideal for enhancing user interactions, this node is easy to integrate and customize, making it perfect for various applications.

Provides complementary speech-to-text capabilities via OpenAI's Whisper with multiple model sizes and automatic language detection, alongside audio export nodes supporting WAV/MP3/FLAC formats with quality presets. The implementation uses lazy loading and caching to optimize performance and memory usage within ComfyUI's node-based workflow system. Integrates FFmpeg for audio codec handling and supports GPU acceleration via CUDA for faster Whisper inference.

Related comparisons

TTS-Audio-Suite and VibeVoice-ComfyUI TTS-Audio-Suite and ComfyUI-VibeVoice TTS-Audio-Suite and ComfyUI-VoxCPM TTS-Audio-Suite and ComfyUI-Maya1_TTS TTS-Audio-Suite and ComfyUI-XTTS TTS-Audio-Suite and ComfyUI-SparkTTS

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