WeNet is a production-oriented end-to-end speech recognition toolkit built on PyTorch. It provides training, inference, and deployment pipelines for various ASR architectures including Conformer and Transformer models, with support for pretrained models like Whisper. The toolkit includes both Python package and command-line interfaces for transcribing audio, and offers runtime solutions for production deployment.