voxcpm
VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
Decision gist · record as of 2026-08-14
Yes, with conditions. VoxCPM2 is worth installing if you need multilingual TTS with voice cloning and design capabilities, have access to a modern GPU (CUDA ≥12.0), and can accommodate 23 dependencies including torch and transformers. The Apache-2.0 license permits commercial use. Active maintenance and no known vulnerabilities are positive signals. The main friction is the large dependency footprint and GPU requirement; it is not suitable for CPU-only or lightweight environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python ≥3.10 (<3.13), PyTorch ≥2.5.0, and CUDA ≥12.0; model weights must be downloaded from HuggingFace or ModelScope.
- Low install friction with a pure-Python wheel, but carries 23 runtime dependencies including torch, transformers, and audio libraries.
- Active maintenance with recent releases; requires Python ≥3.10 and PyTorch ≥2.5.0.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows free commercial use without restriction, making the package suitable for both open-source and proprietary applications.
last release 2026-05-11 (95 days) · last repo commit 2026-08-12 · 35,669 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 99,718 downloads/mo, #13,013 on PyPI
Alternatives
Verify before relying
pip install voxcpm
from voxcpm import VoxCPM
import soundfile as sf
model = VoxCPM.from_pretrained("openbmb/VoxCPM2", load_denoiser=False)
wav = model.generate(text="Hello world", cfg_value=2.0, inference_timesteps=10)
sf.write("output.wav", wav, model.tts_model.sample_rate)- Actual inference speed (RTF) on consumer hardware; documentation cites RTF ~0.3 on RTX 4090 but real-world performance varies.
- Memory requirements for loading the 2B parameter model on different GPU tiers.
- Quality and naturalness of voice design outputs compared to reference-based cloning.
- Multilingual synthesis quality parity across all 30 supported languages.
What it is and what it does
VoxCPM2 is a large language model–based text-to-speech system that bypasses traditional discrete tokenization, instead generating continuous speech representations end-to-end. It outputs 48kHz studio-quality audio and supports 30 languages including Chinese dialects, with no language tags required. The model is built on a MiniCPM-4 backbone and trained on over 2 million hours of multilingual speech data.
The package offers three primary synthesis modes: voice design (create a voice from natural-language description alone), controllable voice cloning (clone a voice from a short reference clip with optional style guidance), and ultimate cloning (provide both reference audio and transcript for seamless continuation with full vocal nuance preservation). It also supports streaming generation for real-time applications. All synthesis is context-aware, automatically inferring appropriate prosody and expressiveness from text content.
Use it for
- Generate natural multilingual speech for applications serving users in 30 languages without language-specific models or tags.
- Create synthetic voices from text descriptions for brand narration, character voices, or accessibility without reference audio.
- Clone a speaker's voice from a short clip and adjust emotion, pace, or tone while preserving original timbre.
- Build real-time speech synthesis pipelines using streaming generation with low latency on modern GPUs.
- Reproduce exact vocal characteristics (timbre, rhythm, emotion) by providing reference audio and its transcript for high-fidelity cloning.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
VoxCPM2 is worth installing if you need multilingual TTS with voice cloning and design capabilities, have access to a modern GPU (CUDA ≥12.0), and can accommodate 23 dependencies including torch and transformers. The Apache-2.0 license permits commercial use. Active maintenance and no known vulnerabilities are positive signals. The main friction is the large dependency footprint and GPU requirement; it is not suitable for CPU-only or lightweight environments.
Install
voxcpm on PyPI
Before you install
Low install friction with a pure-Python wheel, but carries 23 runtime dependencies including torch, transformers, and audio libraries. Active maintenance with recent releases; requires Python ≥3.10 and PyTorch ≥2.5.0.
Requires Python ≥3.10 (<3.13), PyTorch ≥2.5.0, and CUDA ≥12.0; model weights must be downloaded from HuggingFace or ModelScope.
License in practice
Apache-2.0 permissive license allows free commercial use without restriction, making the package suitable for both open-source and proprietary applications.
Quickstart
pip install voxcpm
from voxcpm import VoxCPM
import soundfile as sf
model = VoxCPM.from_pretrained("openbmb/VoxCPM2", load_denoiser=False)
wav = model.generate(text="Hello world", cfg_value=2.0, inference_timesteps=10)
sf.write("output.wav", wav, model.tts_model.sample_rate)Verify before relying
- Actual inference speed (RTF) on consumer hardware; documentation cites RTF ~0.3 on RTX 4090 but real-world performance varies.
- Memory requirements for loading the 2B parameter model on different GPU tiers.
- Quality and naturalness of voice design outputs compared to reference-based cloning.
- Multilingual synthesis quality parity across all 30 supported languages.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 23 packagestorchtorchaudiotorchcodectransformerseinopsgradioinflectaddictwetextmodelscopedatasetshuggingface-hubpydantictqdmsimplejsonsortedcontainerssoundfilelibrosamatplotlibfunasrspacesargbindsafetensors |
| Maintenance | Actively maintained 95 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 99,718 / month, #13,013 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11 |
Evidence: voxcpm-2.0.3-py3-none-any.whl
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