8 Best TTS-WebUI Alternatives in 2026 (Open Source)

TTS-WebUI — A single Gradio + React WebUI with extensions for ACE-Step, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, AudioGen, Mus. vs individual TTS tools: Single unified interface supporting 25+ TTS/audio models with extension system, eliminating the need to set up separate environments for each model

These 8 open-source tools do the same job. They are ordered by how closely they match TTS-WebUI, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
TTS-WebUI(original)3.3k+392026-09-07
AudioGPT10.2k+-72023-05-05
EmotiVoice8.5k+122026-09-03
IndexTTS-2.524.2k+7402026-09-29
ChatTTS39.9k+1422026-04-10
Pipecat16.1k+8332026-09-30
agents14.4k+1,3702026-09-30
RealChar6.2k+12024-02-03
Ultravox4.6k+312025-12-12
  1. 1. AudioGPT

    AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

    What sets it apart: vs ElevenLabs / Bark / MusicGen: unified agent orchestrating 15+ specialized audio foundation models across speech, music, sound, and video — one interface for the entire audio AI landscape

    Best for: Multi-modal audio research spanning speech, music, and sound; Prototyping audio AI pipelines with diverse foundation models; Accessibility applications combining speech and visual generation

  2. 2. EmotiVoice

    EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

    What sets it apart: vs standard TTS engines: prompt-controlled emotional synthesis across 2000+ voices — the ability to specify emotion (happy, sad, angry) alongside text sets it apart from monotone alternatives

    Best for: Multilingual content creation requiring emotional nuance; Voice cloning applications with custom datasets; Applications needing diverse voice options with emotional variation

  3. 3. IndexTTS-2.5

    An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

    What sets it apart: vs F5-TTS/CosyVoice: First autoregressive TTS model with precise duration control for video dubbing, plus emotion-timbre disentanglement allowing independent control of voice identity and emotional expression - developed by Bilibili

    Best for: High-quality zero-shot TTS with emotion control; Video dubbing with precise duration matching; Research on expressive speech synthesis

  4. 4. ChatTTS

    A generative speech model for daily dialogue.

    What sets it apart: Purpose-built for dialogue TTS with fine-grained control over prosody (laughter, pauses, interjections) that most TTS models lack — trained on 100K+ hours, with multi-speaker and streaming support, but deliberately limited for safety

    Best for: Research on conversational TTS with prosodic control; Building dialogue-oriented voice interfaces (non-commercial); Chinese language TTS applications

  5. 5. Pipecat

    Open Source framework for voice and multimodal conversational AI

    What sets it apart: Only production-grade framework for real-time voice AI with composable pipelines — supports 17+ STT and 20+ TTS providers with ultra-low latency, unlike text-focused agent frameworks

    Best for: Building real-time voice AI agents and assistants; Multimodal conversational interfaces with audio, video, and text

  6. 6. agents

    A framework for building realtime voice AI agents 🤖🎙️📹

    What sets it apart: The leading open-source framework for realtime voice AI agents with WebRTC infrastructure, semantic turn detection, multi-agent handoff, and native telephony — vs alternatives that bolt voice onto text-first frameworks

    Best for: Building production voice AI agents and assistants; Real-time conversational AI with telephony integration; Multi-agent voice workflows with handoffs

  7. 7. RealChar

    🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI G

    What sets it apart: vs Character.AI: fully open-source with voice cloning, multi-platform (web+iOS+phone), and pluggable LLM/TTS backends — own your AI characters

    Best for: Building interactive AI character experiences with voice; Developers creating multi-platform conversational AI personas

  8. 8. Ultravox

    A fast multimodal LLM for real-time voice

    What sets it apart: vs ASR+LLM pipelines (Whisper+GPT): direct audio-to-embedding projection eliminates ASR latency bottleneck, enabling true real-time voice understanding

    Best for: Real-time voice AI agents requiring sub-100ms latency; Custom domain voice applications with proprietary audio data