Browse State-of-the-Art › Document Layout Analysis
Document Layout Analysis
47 papers with code · 6 benchmarks · 13 datasets archive 2025-07-28
"Document Layout Analysis is performed to determine physical structure of a document, that is, to determine document components. These document components can consist of single connected components-regions [...] of pixels that are adjacent to form single regions [...] , or group of text lines. A text line is a group of characters, symbols, and words that are adjacent, “relatively close” to each other and through which a straight line can be drawn (usually with horizontal or vertical orientation)." L. O'Gorman, "The document spectrum for page layout analysis," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1162-1173, Nov. 1993.
Image credit: PubLayNet: largest dataset ever for document layout analysis
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
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| PubLayNet val (15 rows) | VGT | Vision Grid Transformer for Document Layout Analysis | code | — | Compare |
| U-DIADS-Bib (5 rows) | CV-Group | ICDAR 2024 Competition on Few-Shot and Many-Shot Layout... | — | — | Compare |
| D4LA (3 rows) | DoPTA | DoPTA: Improving Document Layout Analysis using Patch-Text Alignment | — | — | Compare |
| Document Layout Recognition Challenge test (3 rows) | fglihai | — | — | — | Compare |
| Document Layout Recognition Challenge mini-dev (3 rows) | fglihai | — | — | — | Compare |
| RVL-CDIP (1 row) | VisualWordGrid | VisualWordGrid: Information Extraction From Scanned Documents... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
13 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 47 papers with code (99 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Dec 2020 40 repositories listed Syntology ran 12 of 19 samples · 7 unverified · 3 pointer-only (licence)In this work, we produce a competitive convolution-free transformer by training on Imagenet only.
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31 Dec 2019 19 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)In this paper, we propose the \textbf{LayoutLM} to jointly model interactions between text and layout information across scanned document images, which is beneficial for a great number of real-world document image…
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15 Jun 2021 14 repositories listed Syntology ran 6 of 11 samples · 5 unverifiedWe first "tokenize" the original image into visual tokens.
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29 Dec 2020 9 repositories listedPre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-scale unlabeled scanned/digital-born…
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16 Aug 2019 6 repositories listed Syntology ran 7 of 13 samples · 6 unverified · 13 pointer-only (licence)Deep neural networks that are developed for computer vision have been proven to be an effective method to analyze layout of document images.
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27 Apr 2018 5 repositories listedIn recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies.
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2 Jun 2022 4 repositories listedLastly, we compare models trained on PubLayNet, DocBank and DocLayNet, showing that layout predictions of the DocLayNet-trained models are more robust and thus the preferred choice for general-purpose document-layout…
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18 Apr 2022 4 repositories listedIn this paper, we propose \textbf{LayoutLMv3} to pre-train multimodal Transformers for Document AI with unified text and image masking.
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4 Mar 2022 4 repositories listed Syntology ran 0 of 11 samples · 11 unverifiedWe leverage DiT as the backbone network in a variety of vision-based Document AI tasks, including document image classification, document layout analysis, table detection as well as text detection for OCR.
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28 Mar 2022 3 repositories listed Syntology ran 8 of 15 samples · 7 unverified · 15 pointer-only (licence)In this paper, we bring them together and introduce the task of unified scene text detection and layout analysis.
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25 Aug 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedLocalizing page elements/objects such as tables, figures, equations, etc.
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18 Apr 2020 3 repositories listedDeep learning-based approaches for automatic document layout analysis and content extraction have the potential to unlock rich information trapped in historical documents on a large scale.
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14 Feb 2020 3 repositories listedThe massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration.
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16 Oct 2024 2 repositories listedPre-training on the resulting DocSynth-300K dataset significantly improves fine-tuning performance across various document types.
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8 Feb 2024 2 repositories listedThe models are evaluated on various chart datasets, and results show that LayoutLMv3 outperforms UDOP in all experiments.
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1 Jun 2020 2 repositories listedDocBank is constructed using a simple yet effective way with weak supervision from the \LaTeX{} documents available on the arXiv.
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26 Jun 2025 1 repository listedDocument understanding and analysis have received a lot of attention due to their widespread application.
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24 Mar 2025 1 repository listedIn this work, we introduce Source-Free Document Layout Analysis (SFDLA), aiming for adapting a pre-trained source DLA models to an unlabeled target domain, without access to any source data.
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21 Mar 2025 1 repository listedDocument layout analysis is a critical preprocessing step in document intelligence, enabling the detection and localization of structural elements such as titles, text blocks, tables, and formulas.
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20 Mar 2025 1 repository listedDocument structure analysis, aka document layout analysis, is crucial for understanding both the physical layout and logical structure of documents, serving information retrieval, document summarization, knowledge…
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11 Sep 2024 1 repository listedThis paper presents a novel approach to information extraction (IE) from visually rich documents (VRD) by employing a directed weighted graph representation to capture relationships among various VRD components.
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8 Sep 2024 1 repository listedTo address these issues, we have introduced the PDF table extraction (PdfTable) toolkit.
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12 Jul 2024 1 repository listedDespite this, these integrated approaches have not yet matched the performance of language models, when applied to information extraction in plain text.
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21 Mar 2024 1 repository listedTo address this, we are the first to introduce a robustness benchmark for DLA models, which includes 450K document images of three datasets.
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22 Jan 2024 1 repository listedOur end-to-end system achieves state-of-the-art performance on two large-scale document layout analysis datasets (PubLayNet and DocLayNet), a high-quality hierarchical document structure reconstruction dataset (HRDoc),…
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5 Jan 2024 1 repository listedThis paper introduces a novel system for information extraction from visually rich documents (VRD) using a weighted graph representation.
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29 Oct 2023 1 repository listedOur DCQA dataset is expected to foster research on understanding visualizations in documents, especially for scenarios that require complex reasoning for charts in the visually-rich document.
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19 Oct 2023 1 repository listedIn this report, we introduce DocXChain, a powerful open-source toolchain for document parsing, which is designed and developed to automatically convert the rich information embodied in unstructured documents, such as…
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2 Oct 2023 1 repository listedWe present appjsonify, a Python-based PDF-to-JSON conversion toolkit for academic papers.
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29 Aug 2023 1 repository listedDocument pre-trained models and grid-based models have proven to be very effective on various tasks in Document AI.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections