Zero-shot voice cloning
Clone voices with only a few seconds of reference audio.
Chatterbox TTS Hosting
Chatterbox TTS is an open-source text-to-speech (TTS) model developed by Resemble AI. Built for developers, creators, and enterprises who demand both quality and freedom. Discover Chatterbox TTS Hosting and API for seamless multilingual voice cloning. Compatible with OpenAI, generate lifelike speech effortlessly anywhere.
Choose a GPU Server for Chatterbox TTS Hosting
Unlock Expressive Multilingual Voices — Hosted Chatterbox TTS at Scale. Select a fully‐managed, production-ready hosting solution for Chatterbox TTS — high performance, low latency speech synthesis API without the infrastructure burden.
Hot Sale
Advanced GPU Dedicated Server - RTX 3060 Ti
$ 107.00/mo
55% OFF Recurring (Was $239.00)
1mo3mo12mo24mo
Order Now- 128GB RAM
- GPU: GeForce RTX 3060 Ti
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Hot Sale
Basic GPU Dedicated Server - RTX 5060
$ 117.182/mo
38% OFF Recurring (Was $189.00)
1mo3mo12mo24mo
Order Now- 64GB RAM
- GPU: Nvidia GeForce RTX 5060
- 24-Core Platinum 8160
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Professional GPU VPS - A4000
$ 129.00/mo
1mo3mo12mo24mo
Order Now- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10
- Dedicated GPU: Quadro RTX A4000
- CUDA Cores: 6,144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Advanced GPU Dedicated Server - A5000
$ 269.00/mo
1mo3mo12mo24mo
Order Now- 128GB RAM
- GPU: Nvidia Quadro RTX A5000
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
$ 409.00/mo
1mo3mo12mo24mo
Order Now- 256GB RAM
- GPU: GeForce RTX 4090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Advanced GPU VPS - RTX 5090
$ 339.00/mo
1mo3mo12mo24mo
Order Now- 96GB RAM
- 32 CPU Cores
- 400GB SSD
- 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: GeForce RTX 5090
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32GB GDDR7
- FP32 Performance: 109.7 TFLOPS
New Arrival
Enterprise GPU Dedicated Server - RTX 5090
$ 479.00/mo
1mo3mo12mo24mo
Order Now- 256GB RAM
- GPU: GeForce RTX 5090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
New Arrival
Enterprise GPU Dedicated Server - RTX PRO 6000
$ 729.00/mo
1mo3mo12mo24mo
Order Now- 256GB RAM
- GPU: Nvidia RTX PRO 6000
- Dual 24-Core Platinum 8160
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell
- CUDA Cores: 24,064
- Tensor Cores: 752
- GPU Memory: 96GB GDDR7
- FP32 Performance: 125.10 TFLOPS
Chatterbox TTS Server WebUI
Chatterbox TTS Server web interface enables users to:
- Enter text and synthesize speech using either predefined voices or voice cloning with a reference audio file.
- Adjust generation parameters such as temperature, speed factor, exaggeration, and CFG weight.
- Optionally split long text into chunks (recommended for audiobooks or long-form content), with a configurable chunk size (~150–400 characters).
- Select output format (WAV or MP3) and download the generated audio.
- View and update server configuration (e.g., host, port, model paths) via a UI that reads from and writes to
config.yaml.
OpenAI Compatible TTS Generation API
Configuration
POST /save_settings— Saves server configuration (e.g., host, port, paths).
File Management
POST /upload_reference— Uploads a reference audio file for voice cloning.POST /upload_predefined_voice— Uploads a new predefined voice file.
TTS Generation
POST /tts— Generates speech from text with customizable parameters (voice, temperature, speed, etc.).
OpenAI Compatible
POST /v1/audio/speech— OpenAI-compatible endpoint for generating speech via standard OpenAI API format.
Key Features of Hosted Chatterbox TTS
Chatterbox TTS is significant because it brings state-of-the-art TTS with voice-cloning, emotion/style control, and multilingual support into the open-source domain under a permissive licence.
Emotion/exaggeration control
Allows you to adjust voice expressiveness from calm to dramatic.
Multilingual support
Supports at least 23 languages (Arabic, English, Spanish, French, Japanese, Chinese, etc.).
Low latency
Claimed sub-200 ms for inference in optimized settings, making it suitable for interactive/real-time applications.
Open source & MIT licence
Adds flexibility for customization and self-hosting.
Production readiness
Designed for creators, games, agents — not just a research prototype.
What's Chatterbox TTS Used For?
Here’s a concise summarising key use-cases for Chatterbox TTS
| Use-Case Category | Description |
|---|---|
| AI Assistants & Chatbots | Give virtual assistants or chatbots expressive, custom voices via zero-shot cloning and emotion/style control. |
| Audiobooks, Podcasts & Narration | Clone a voice (or use custom voice) to narrate full-length content in multiple languages with consistent style. |
| Gaming & Interactive Media | Generate character voices, NPC dialogue or multilingual storytelling with emotion/intensity variation. |
| Accessibility & Localization | Provide high-quality TTS for screen-readers, assistive apps or multilingual users while maintaining voice persona. |
| Brand Voice & Business Apps | Clone branded voices for IVR, onboarding, e-learning, training videos — ensure consistent voice output across platforms/languages. |
Coqui TTS and Chatterbox TTS
Here’s a comparison between Coqui TTS and Chatterbox TTS — two open-source text-to-speech (TTS) toolkits/models. I’ll cover their key features, strengths, weaknesses and suitable use-cases so you can decide which might fit your needs best.
| Feature | Coqui TTS | Chatterbox TTS |
|---|---|---|
| Origin & licensing | Coqui TTS is a toolkit originally developed (forked) from the Mozilla/Coqui TTS project. It supports a wide range of models and languages. The project’s company (Coqui AI) announced shutdown of hosted services in late 2023/early 2024, though the open-source code remains. |
Chatterbox TTS is developed by Resemble AI, released as an open-source model under MIT license. |
| Model scope / language support | Supports many models, including the “XTTS-v2” model: supports 17 languages. Also claims “+1100 languages” via certain frameworks. | Supports 23+ languages in the Chatterbox Multilingual model. |
| Voice cloning & zero-shot capabilities | XTTS-v2 supports voice cloning with just a short reference audio clip (6 seconds) and cross-language voice cloning. | Zero-shot voice cloning is a prominent feature: clone voices from a few seconds of reference audio; includes “emotion/exaggeration control.” |
| Emotion / style control | Coqui supports style and voice cloning, but less emphasis (in marketing) on exaggerated emotion controls. | Chatterbox emphasises expressive/emotional control (“exaggeration/intensity control”) as a key differentiator. |
| Intended audience & usability | Strong toolkit orientation: many models, training/fine-tuning, researcher/developer focus. Eg: blog says “for software engineers and data scientists.” | More turnkey/model-oriented: the model itself is emphasised, with developers/creators in mind (games, video, agents) and easy reference audio support. |
| Performance / latency claims | Documentation indicates streaming inference with <200 ms latency under “XTTS” model. | Claims “ultra-low latency of sub 200ms” for production use in interactive media. |
| Model maturity / ecosystem | Larger and more mature ecosystem of tools, many models, fine-tuning support, dataset utilities. | Very recent release (as of 2024/2025), high quality, but fewer years of ecosystem maturity compared to Coqui’s history. |
| Community feedback & limitations | Some community commentary: e.g., one Reddit user: “Cloned voice does not feel like clone (although it did have some features of the source voice).” Also note the company shutdown means less commercial backing, maybe less support/maintenance. |
Early reviews highlight excellent cloning and expressiveness; but some users mention install / dependency issues. |
| Licensing & commercial use | The code is open source; however you’ll want to confirm specific model license and commercial-use restrictions. The company’s shutdown may impact future updates/hosting. | MIT-licensed model (Chatterbox) means very permissive use, which is a strong plus. |
| Best suited for | Projects where you want full control: self-hosting, fine-tuning/custom voices, many languages, training your own models. | Projects where you care most about voice quality, expressiveness, voice-cloning ease, and want a “plug-in” model ready for use without heavy training. |
✅ Which to choose when?
- If your priority is voice cloning + expressiveness (emotion, style) and you want something ready to use with minimal fuss, Chatterbox TTS is very attractive: the MIT license, strong language support, and advanced features like emotion control make it quite compelling.
- f your priority is flexibility, many languages, and you might want to train/fine-tune models yourself, then Coqui TTS remains a strong choice — just be aware of the ecosystem/support implications (company shutdown etc).
FAQs of Chatterbox TTS Hosting
What is Chatterbox TTS?
Chatterbox TTS is an open-source, multilingual text-to-speech (TTS) model developed by Resemble AI known for its high-quality, natural-sounding voices and advanced voice cloning capabilities. It features zero-shot voice cloning, emotion control, and real-time, low-latency performance, making it suitable for use cases like audiobooks, game development, and interactive applications.
What languages are supported?
The multilingual model supports 23 languages out of the box.
Can I upload my own voice for cloning?
Yes — with a short reference audio sample you can generate speech in that voice. This is supported in the voice cloning mode.
What infrastructure do I need if I self-host?
At minimum you’ll want a modern NVIDIA GPU (CUDA-capable), good CPU, SSD storage and sufficient RAM. But our hosted service abstracts away all infrastructure so you can focus on development.
What GPU specs do I need for Coqui TTS Hosting?
For a hosting/inference scenario – here are recommended specs:
Entry hosting: One GPU with ~8 GB VRAM (e.g., NVIDIA RTX 3060Ti 8GB) — good for small-scale hosting, light concurrency.
Mid hosting: One GPU ~16-24 GB VRAM (e.g., RTX A4000 16GB / RTX 4090 / 24 GB class) — better for moderate concurrency, multiple voices, higher throughput.
High-throughput / multi-tenant hosting: Multiple GPUs or one large GPU (e.g., RTX 5090 32 GB VRAM), high memory, fast IO. For many simultaneous requests, low latency, many voices.
Entry hosting: One GPU with ~8 GB VRAM (e.g., NVIDIA RTX 3060Ti 8GB) — good for small-scale hosting, light concurrency.
Mid hosting: One GPU ~16-24 GB VRAM (e.g., RTX A4000 16GB / RTX 4090 / 24 GB class) — better for moderate concurrency, multiple voices, higher throughput.
High-throughput / multi-tenant hosting: Multiple GPUs or one large GPU (e.g., RTX 5090 32 GB VRAM), high memory, fast IO. For many simultaneous requests, low latency, many voices.
Can I use the generated audio commercially?
Yes. The underlying Chatterbox model is MIT-licensed and our hosting supports commercial usage, subject to your compliance with voice content, cloning rights, and voice-sample ownership.
What infrastructure do I need?
None — we host it for you. If you choose self-hosting (on-premises or in your cloud), you’ll want a GPU-accelerated server for best performance.
What latency can I expect?
In optimized GPU-hosting scenarios Chatterbox reports sub-300 ms inference latency. Actual latency depends on text length, voice parameters and concurrent usage.