The Tencent Hunyuan Large Model Team has officially rolled out and made HunyuanOCR, a commercial-grade, lightweight vision-language model tailored specifically for OCR (Optical Character Recognition), open-source. This model boasts exceptional prowess in both perception and semantic understanding, clinching accolades such as the top spot in the ICDAR 2025 DIMT Challenge. HunyuanOCR has achieved three significant milestones: versatility combined with efficiency, a streamlined end-to-end architecture, and groundbreaking innovations in data-driven and reinforcement learning (RL) techniques. Its core technologies encompass: a lightweight model structure, utilizing an end-to-end training and inference approach with a synergistic architecture that adeptly sidesteps image distortion and detail degradation; the creation of high-quality pre-training data, amassing a corpus exceeding 200 million 'image-text pairs' that span diverse scenarios and languages; an application-centric pre-training strategy, featuring a progressive, four-stage methodology; and a bespoke reinforcement learning framework for OCR tasks, employing a hybrid approach that emphasizes data filtering, adaptive reward mechanisms, GRPO algorithm refinement, and format restrictions.