@inproceedings{agarwal-etal-2026-paper,
title = "From Paper to Structured {JSON}: An Agentic {AI} Workflow for Compliant {BMR} Digital Transformation",
author = "Agarwal, Bhavik and
Bendre, Nidhi and
Rojkova, Viktoria",
editor = {Matusevych, Yevgen and
Eryi{\u{g}}it, G{\"u}l{\c{s}}en and
Aletras, Nikolaos},
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 5: Industry Track)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-industry.3/",
pages = "39--47",
ISBN = "979-8-89176-384-5",
abstract = "Agentic AI workflow converts noisy pharmaceutical batch records into validated JSON using hybrid OCR, vision{--}language and schema-guided LLMs, cutting QA review from hours to minutes while preserving GMP-critical structure."
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%0 Conference Proceedings
%T From Paper to Structured JSON: An Agentic AI Workflow for Compliant BMR Digital Transformation
%A Agarwal, Bhavik
%A Bendre, Nidhi
%A Rojkova, Viktoria
%Y Matusevych, Yevgen
%Y Eryiğit, Gülşen
%Y Aletras, Nikolaos
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-384-5
%F agarwal-etal-2026-paper
%X Agentic AI workflow converts noisy pharmaceutical batch records into validated JSON using hybrid OCR, vision–language and schema-guided LLMs, cutting QA review from hours to minutes while preserving GMP-critical structure.
%U https://aclanthology.org/2026.eacl-industry.3/
%P 39-47
Markdown (Informal)
[From Paper to Structured JSON: An Agentic AI Workflow for Compliant BMR Digital Transformation](https://aclanthology.org/2026.eacl-industry.3/) (Agarwal et al., EACL 2026)
ACL