VoxCPM is a tokenizer-free, multilingual text-to-speech (TTS) system developed by OpenBMB. It supports voice cloning, voice design, and controllable speech generation across 30 languages and 9 Chinese dialects, outputting 48kHz audio. The architecture is a diffusion-autoregressive model built on MiniCPM-4, comprising AudioVAE, Local Encoder, Text-Semantic LM, Residual Acoustic LM, and Local DiT. The repository provides multiple interfaces: a Gradio web application (app.py) for interactive use, a command-line interface (voxcpm.cli) for batch processing, a fine-tuning web UI (lora_ft_webui.py) for LoRA and full-parameter training, and Python APIs for integration. It also includes utilities for audio enhancement (ZipEnhancer), timestamp alignment, and text normalization. While primarily an application, it contains research-grade model definitions and training pipelines, making it a hybrid project with a strong application focus.