8 Best AudioGPT Alternatives in 2026 (Open Source)
AudioGPT — AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. 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
These 8 open-source tools do the same job. They are ordered by how closely they match AudioGPT, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| AudioGPT(original) | 10.2k | +-7 | 2023-05-05 |
| TTS-WebUI | 3.3k | +39 | 2026-09-07 |
| ChatTTS | 39.9k | +142 | 2026-04-10 |
| EmotiVoice | 8.5k | +12 | 2026-09-03 |
| IndexTTS-2.5 | 24.2k | +740 | 2026-09-29 |
| Seamless | 11.9k | +17 | 2026-09-08 |
| whisperX | 24.3k | +541 | 2026-09-26 |
| WhisperS2T | 580 | +4 | 2024-08-25 |
| Buzz | 21.8k | +535 | 2026-09-23 |
1. 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
What sets it apart: 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
Best for: Experimenting with and comparing multiple TTS models in one interface; Audio content creation workflows (voice, music, effects)
2. 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
3. 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
4. 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
5. Seamless
Foundational Models for State-of-the-Art Speech and Text Translation
What sets it apart: vs Google Translate / DeepL: open-source multimodal translation preserving voice style and prosody across 100 languages — the only system combining expressive and streaming translation in a unified model
Best for: Researchers working on multilingual speech/text translation; Applications needing expressive cross-language voice preservation; Real-time streaming translation systems
6. whisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
What sets it apart: Adds word-level timestamps and speaker diarization on top of Whisper — solving the two biggest gaps in OpenAI's original model
Best for: Batch transcription with accurate word-level timestamps; Meeting transcription with speaker identification
7. WhisperS2T
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
What sets it apart: vs WhisperX / HuggingFace Pipeline: 2.3-3X speed improvement through superior pipeline architecture (not just backend optimization) — with multiple inference backend choices and built-in hallucination reduction
Best for: High-volume speech transcription requiring speed optimization; Multilingual audio processing with backend flexibility; Applications needing reduced hallucination output from Whisper
8. Buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
What sets it apart: vs Whisper CLI: full GUI with live transcription, speaker ID, and watch folders; vs cloud transcription (AssemblyAI/Deepgram): completely offline with zero data leaving the device
Best for: Offline audio/video transcription with privacy; Live presentation captioning; Batch transcription of media files