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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
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K CategoriesCode2
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition—0
Predicting the Past: Estimating Historical Appraisals with OCR and Machine LearningCode0
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression RecognitionCode1
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering—0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
Synthetic Document Question Answering in HungarianCode0
VidText: Towards Comprehensive Evaluation for Video Text UnderstandingCode1
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained KnowledgeCode1
E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing—0
Unifying Multimodal Large Language Model Capabilities and Modalities via Model MergingCode1
On Path to Multimodal Historical Reasoning: HistBench and HistAgentCode4
MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning—0
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis—0
ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language ModelsCode1
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation—0
TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis—0
One RL to See Them All: Visual Triple Unified Reinforcement Learning—0
TokBench: Evaluating Your Visual Tokenizer before Visual Generation—0
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image ReasoningCode0
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse—0
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads—0
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR—0
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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