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AI models for PDF text and layout extraction sought

A user on r/MachineLearning is seeking recommendations for state-of-the-art models capable of accurate PDF text and layout extraction. They have experimented with several models, including DocLayout, Docling, MinerU, and Marker, finding that while Docling performs well, it tends to over-segment content. MinerU has been noted for missing crucial information like corresponding author details and article type labels. Unlimited OCR, despite its strong performance in general text extraction, struggles with style recognition and logo identification. AI

IMPACT This query highlights ongoing challenges in document AI, indicating a need for more robust models in PDF text and layout extraction.

RANK_REASON User is asking for recommendations on existing models, not announcing a new one.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models for PDF text and layout extraction sought

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Fickle-Aide9279 ·

    DocLayout, MinerU, Marker, Unlimited-OCR [D]

    <!-- SC_OFF --><div class="md"><p>Hi all,</p> <p>So I have been working on document layout analysis for some time now. I have tried the models like Doclayout, Docling, Miner U, marker. I am working with Journals.</p> <p>Overall Docling performs well, but the problem is that it ov…