7 Best AudioGPT Alternatives in 2026 (Open Source)
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. It brings speech, singing, general audio, and talking-head capabilities together in one open-source conversational system.
Short answer
- Closest match to AudioGPT: ChatTTS.
- Most actively developed: IndexTTS-2.5 (65 commits in the last 90 days).
- Fastest growing: IndexTTS-2.5 (+733 GitHub stars in the last 30 days).
- No commit in 6+ months: WhisperS2T.
These 7 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.
By package downloads whisperX is the most used here (328.3K in the last 30 days), even though ChatTTS has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| AudioGPT(original) | 10.2k | -7 | 2023-05-05 | — |
| ChatTTS | 39.9k | +141 | 2026-04-10 | 9.3K |
| EmotiVoice | 8.5k | +12 | 2026-09-03 | — |
| IndexTTS-2.5 | 24.3k | +733 | 2026-09-29 | — |
| Seamless | 11.9k | +17 | 2026-09-08 | — |
| whisperX | 24.3k | +537 | 2026-09-26 | 328.3K |
| WhisperS2T | 580 | +3 | 2024-08-25 | — |
| Buzz | 21.8k | +534 | 2026-10-02 | — |
1. 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
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. 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. 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
5. 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
6. 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
7. 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
FAQ
- What are the best alternatives to AudioGPT?
- The closest open-source alternatives to AudioGPT are ChatTTS, EmotiVoice and IndexTTS-2.5, followed by Seamless, whisperX and WhisperS2T. They are ranked by how closely they match what AudioGPT does.
- Which AudioGPT alternative is the most popular?
- ChatTTS has the most GitHub stars among AudioGPT alternatives, with 39,890 stars.
- Which AudioGPT alternative is the most actively maintained?
- By recent activity, IndexTTS-2.5 (65 commits in the last 90 days) is the most actively developed alternative.