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

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

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 sec

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First collected: 2026-09-20T21:52:07.471Z. This is not the publication date.