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MinerU.Chem: A High-Precision System for Optical Chemical Structure and Reaction Recognition — arXiv:2608.03525

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.03525
License (as archived): CC0-1.0
Archived: 2026-10-31T12:59:41.338Z
SHA-256 of the archived text: 7b3df28023cad282e7e59b9b65b8fd8743f18116c77d464fe79a485fba867cf2
Stable URL of this page: https://metraipolis.com/documento/dc_fdcd29c8dad0

How to cite

MinerU.Chem: A High-Precision System for Optical Chemical Structure and Reaction Recognition — arXiv:2608.03525 — arXiv (en), https://arxiv.org/abs/2608.03525 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fdcd29c8dad0 (Metraipolis archive dc_fdcd29c8dad0, sha256 7b3df28023cad282e7e59b9b65b8fd8743f18116c77d464fe79a485fba867cf2)

BibTeX

@misc{dcfdcd29c8dad0,
  title = {MinerU.Chem: A High-Precision System for Optical Chemical Structure and Reaction Recognition — arXiv:2608.03525},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.03525},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fdcd29c8dad0; sha256 7b3df28023cad282e7e59b9b65b8fd8743f18116c77d464fe79a485fba867cf2},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.03525. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

In organic chemistry papers and patents, molecular structures, reaction schemes, and experimental conditions are often presented as molecular structure depictions, reaction diagrams, and complex tables or figures. Such information is difficult for general-purpose document parsing systems to directly convert into machine-readable data. This limits data production for organic chemistry knowledge base construction and for AI for Chemistry tasks such as reaction prediction, retrosynthesis, condition recommendation, molecular property prediction, and drug molecule design. This report introduces MinerU-Chem, a document parsing system for organic chemistry literature integrated into the MinerU online platform. Built on top of MinerU's general document parsing pipeline, MinerU-Chem adds five chemistry-specific modules: chemistry relevance filtering, molecular structure detection, molecule identifier extraction, molecular structure recognition, and reaction scheme parsing. Together, these modules convert organic-chemistry-related image regions in documents into a Molecule Summary List and a Reaction Summary List. For molecular structure recognition, MinerU-Chem uses CARBON (Complex Atomic Representation and Bonding Object Notation) as its core representation. CARBON enables recognition results to preserve both the visual layout of the original image and complex chemical semantics, while supporting the export of standard downstream formats such as MolFile and SMILES. On the SMILES-evaluable subset of MolRecBench-Wild (N=2,392), MinerU-Chem's molecular structure recognition module achieves a SMILES exact-match accuracy of 93.02%, outperforming the best evaluated comparison system, GPT-5.6-Sol (74.87%), by 18.15 percentage points. The system has been integrated into the MinerU online platform and is available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-05 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2608.03525 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-31T12:45:33.257Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-08-05?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).