mlsanityData to 7 Oct 2026

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

arXiv 2103.10213 ↗First posted 18 Mar 2021cs.AIcited by 254

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Cited by 63 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recognizing text from scanned receipts and extracting key texts from them and save the extracted tests to structured documents. SROIE plays critical roles for many document analysis applications and holds great commercial potentials, but very little research works and advances have been published in this area. In recognition of the technical challenges, importance and huge commercial potentials of SROIE, we organized the ICDAR 2019 competition on SROIE. In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3). A new dataset with 1000 whole scanned receipt images and annotations is created for the competition. In this report we will presents the motivation, competition datasets, task definition, evaluation protocol, submission statistics, performance of submitted methods and results analysis.

Key facts. Cited by 254 papers in the map (data through 7 Oct 2026). Builds on 1 of its 6 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

1 of 6 references.

References · 1

  1. 2017The Robust Reading Competition Annotation and Evaluation Platformcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 23; 2023: 51; 2024: 71; 2025: 55; 2026: 37.

254 papers.

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  1. 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,769
  2. 2023OCRBench: On the Hidden Mystery of OCR in Large Multimodal Modelscited by 466
  3. 2021OCR-free Document Understanding Transformercited by 400
  4. 2024Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoningcited by 267
  5. 2021DocFormer: End-to-End Transformer for Document Understandingcited by 254
  6. 2024Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimizationcited by 238
  7. 2023LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Modelscited by 217
  8. 2024MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizationscited by 174
  9. 2024OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoningcited by 165
  10. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
  11. 2023ImageBind-LLM: Multi-modality Instruction Tuningcited by 142
  12. 2025VisualPRM: An Effective Process Reward Model for Multimodal Reasoningcited by 134
38 more
  1. 2023BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questionscited by 125
  2. 2024MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scalecited by 125
  3. 2024NVLM: Open Frontier-Class Multimodal LLMscited by 124
  4. 2025olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Modelscited by 120
  5. 2023DocLLM: A layout-aware generative language model for multimodal document understandingcited by 112
  6. 2022PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR Systemcited by 105
  7. 2021BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documentscited by 104
  8. 2023KOSMOS-2.5: A Multimodal Literate Modelcited by 95
  9. 2024LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understandingcited by 94
  10. 2021StrucTexT: Structured Text Understanding with Multi-Modal Transformerscited by 90
  11. 2022Towards Complex Document Understanding By Discrete Reasoningcited by 82
  12. 2024Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-trainingcited by 82
  13. 2024OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognitioncited by 74
  14. 2022ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understandingcited by 67
  15. 2024OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automationcited by 66
  16. 2022ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshotscited by 65
  17. 2022FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extractioncited by 64
  18. 2024TextSquare: Scaling up Text-Centric Visual Instruction Tuningcited by 62
  19. 2021Document AI: Benchmarks, Models and Applicationscited by 61
  20. 2024A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understandingcited by 57
  21. 2023Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solutioncited by 54
  22. 2024From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Modelscited by 52
  23. 2025FineVision: Open Data Is All You Needcited by 51
  24. 2025Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMscited by 48
  25. 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocitiescited by 46
  26. 2025Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learningcited by 46
  27. 2021MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understandingcited by 44
  28. 2023DiffUTE: Universal Text Editing Diffusion Modelcited by 44
  29. 2023DTrOCR: Decoder-only Transformer for Optical Character Recognitioncited by 40
  30. 2021PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR Systemcited by 39
  31. 2025VisRL: Intention-Driven Visual Perception via Reinforced Reasoningcited by 39
  32. 2023ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extractioncited by 38
  33. 2024HRVDA: High-Resolution Visual Document Assistantcited by 37
  34. 2024TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understandingcited by 37
  35. 2022VRDU: A Benchmark for Visually-rich Document Understandingcited by 35
  36. 2024DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimmingcited by 35
  37. 2024TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokenscited by 32
  38. 2024ChatRex: Taming Multimodal LLM for Joint Perception and Understandingcited by 30

50 most cited of 254 All 254 (JSON)