Looking to replace ElevenLabs with something free and open-source? These 15 tools are the best open alternatives in 2026 — most are self-hostable, so you keep full control of your data and pay no subscription.















| Alternative | License | Self-hostable | In one line |
|---|---|---|---|
| Coqui TTS | MPL-2.0 | ✓ Yes | Battle-tested text-to-speech toolkit with voice cloning and 1100+ languages. |
| Piper | MIT | ✓ Yes | Fast neural TTS that runs locally, even on a Raspberry Pi. |
| F5-TTS | MIT | ✓ Yes | Diffusion-based TTS with impressive zero-shot voice cloning. |
| voicebox | MIT | ✓ Yes | The open-source AI voice studio. Clone, dictate, create. |
| OpenVoice | MIT | ✓ Yes | Instant voice cloning by MIT and MyShell. Audio foundation model. |
| VoxCPM | Apache-2.0 | ✓ Yes | VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning |
| CosyVoice | Apache-2.0 | ✓ Yes | Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability. |
| index-tts | — | ✓ Yes | An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System |
| dia | Apache-2.0 | ✓ Yes | A TTS model capable of generating ultra-realistic dialogue in one pass. |
| supertonic | MIT | ✓ Yes | Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. |
| PaddleSpeech | Apache-2.0 | ✓ Yes | Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award. |
| TTS | MPL-2.0 | ✓ Yes | :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) |
| MeloTTS | MIT | ✓ Yes | High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean. |
| dograh | BSD-2-Clause | ✓ Yes | Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support. |
| MOSS-TTS | Apache-2.0 | ✓ Yes | MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, vo |
Battle-tested text-to-speech toolkit with voice cloning and 1100+ languages. Its MPL-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Fast neural TTS that runs locally, even on a Raspberry Pi. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Diffusion-based TTS with impressive zero-shot voice cloning. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
The open-source AI voice studio. Clone, dictate, create. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Instant voice cloning by MIT and MyShell. Audio foundation model. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning Its Apache-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability. Its Apache-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System Because it is self-hostable, your data can stay entirely on your own infrastructure.
A TTS model capable of generating ultra-realistic dialogue in one pass. Its Apache-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award. Its Apache-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) Its MPL-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean. Its MIT license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support. Its BSD-2-Clause license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, vo Its Apache-2.0 license is permissive — free to use commercially, embed and modify. Because it is self-hostable, your data can stay entirely on your own infrastructure.
The top open-source alternative is Coqui TTS — Battle-tested text-to-speech toolkit with voice cloning and 1100+ languages. The full ranked list is above.
Yes. Every tool listed is open-source and free to use; most can be self-hosted so you keep full control of your data.
Most of these tools are designed to run on your own server or machine, giving you privacy and no subscription fees.
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