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Optical Character Recognition (OCR)

Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)

Papers

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Showing 26–50 of 1209 papers

TitleStatusHype
Institutional Books 1.0: A 242B token dataset from Harvard Library's collections, refined for accuracy and usabilityCode2
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K CategoriesCode2
An Approach for Air Drawing Using Background Subtraction and Contour ExtractionCode2
2.5 Years in Class: A Multimodal Textbook for Vision-Language PretrainingCode2
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-ActionCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
TextSSR: Diffusion-based Data Synthesis for Scene Text RecognitionCode2
Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown ExtractionCode2
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer TokensCode2
General Detection-based Text Line RecognitionCode2
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry AreaCode2
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsCode2
GUICourse: From General Vision Language Models to Versatile GUI AgentsCode2
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text RecognitionCode2
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?Code2
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document EnhancementCode2
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
Visually Guided Generative Text-Layout Pre-training for Document IntelligenceCode2
MouSi: Poly-Visual-Expert Vision-Language ModelsCode2
An Empirical Study of Scaling Law for Scene Text RecognitionCode2
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
DTrOCR: Decoder-only Transformer for Optical Character RecognitionCode2
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual QuestionsCode2
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingCode2
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All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified