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LLMs improve OCR for historical documents in ICDAR 2026 competition · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

A competition called HIPE-OCRepair-2026, organized as part of ICDAR 2026, focused on using Large Language Models (LLMs) to improve Optical Character Recognition (OCR) for historical documents. The competition aimed to evaluate LLM-assisted post-correction systems on a multilingual dataset, addressing the persistent challenge of legacy OCR errors in digitized heritage collections. Four teams participated, employing various LLM adaptation strategies, and their results indicated that while LLMs can significantly enhance OCR quality, performance varies by language and noise level, with over-correction being a notable issue. AI

IMPACT LLM advancements in OCR post-correction could accelerate the accessibility and searchability of vast historical digital archives.

RANK_REASON The cluster reports on the results of an academic competition and dataset release focused on LLM applications in OCR for historical documents, published on arXiv.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs improve OCR for historical documents in ICDAR 2026 competition · 2 sources tracked

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The cluster reports on the results of an academic competition and dataset release focused on LLM applications in OCR for historical documents, published on arXiv.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Maud Ehrmann, Emanuela Boros, Juri Opitz, Andrianos Michail, Florian Wagner, Simon Clematide ·

    ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents

    arXiv:2607.08143v1 Announce Type: cross Abstract: We present the results of HIPE-OCRepair-2026, an ICDAR competition on LLM-assisted OCR post-correction of historical documents. OCR post-correction remains a long-standing challenge in digital heritage: large-scale collections of …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Simon Clematide ·

    ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents

    We present the results of HIPE-OCRepair-2026, an ICDAR competition on LLM-assisted OCR post-correction of historical documents. OCR post-correction remains a long-standing challenge in digital heritage: large-scale collections of digitized documents are affected by legacy OCR err…

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