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Paper · arXiv

MolParser-Mobile: Ultrafast OCSR System for Large-Scale Chemical Literature Mining

Optical Chemical Structure Recognition (OCSR) is a fundamental component of chemical literature mining, enabling molecular database construction, reaction extraction, and AI-driven scientific discovery. Despite substantial progress in recognition accuracy with recent deep learning-based methods, inference throughput remains a critical bottleneck that limits web-scale deployment. To address this challenge, we propose MolParser-Mobile, an AutoML-optimized lightweight end-to-end OCSR framework. MolParser-Mobile contains only 9.98M parameters, while reaching a throughput of 1,520 molecules per second on a single NVIDIA RTX 4090D GPU. Despite its compact design, it maintains competitive and, o...

AuthorsXi Fang, Haocheng Lu, Han Lyu et al.
Primary categorycs.CV
Published5 September 2026
Last updated at source5 September 2026
cs.CV
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