SOTAVerified

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

Showing 51100 of 1209 papers

TitleStatusHype
GlyphControl: Glyph Conditional Control for Visual Text GenerationCode2
OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsCode2
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image GenerationCode2
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
Text Detection Forgot About Document OCRCode2
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingCode2
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression RecognitionCode2
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessCode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR SystemCode2
PP-OCR: A Practical Ultra Lightweight OCR SystemCode2
Real-time Scene Text Detection with Differentiable BinarizationCode2
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression RecognitionCode1
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained KnowledgeCode1
VidText: Towards Comprehensive Evaluation for Video Text UnderstandingCode1
Unifying Multimodal Large Language Model Capabilities and Modalities via Model MergingCode1
ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language ModelsCode1
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?Code1
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?Code1
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical DocumentsCode1
PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language ModelCode1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
Towards Making Flowchart Images Machine InterpretableCode1
Ocean-OCR: Towards General OCR Application via a Vision-Language ModelCode1
MathReader : Text-to-Speech for Mathematical DocumentsCode1
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of ExpertsCode1
Toxicity of the Commons: Curating Open-Source Pre-Training DataCode1
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text RecognitionCode1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheetsCode1
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP TasksCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Image-text matching for large-scale book collectionsCode1
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document UnderstandingCode1
FlowLearn: Evaluating Large Vision-Language Models on Flowchart UnderstandingCode1
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding DatasetCode1
From Text to Pixel: Advancing Long-Context Understanding in MLLMsCode1
ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in ImagesCode1
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing ModelsCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific DocumentsCode1
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and SpottingCode1
TEXTRON: Weakly Supervised Multilingual Text Detection through Data ProgrammingCode1
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionCode1
An Empirical Study of Scaling Law for OCRCode1
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and ReasoningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6Unverified
2DTrOCR 105MAccuracy (%)89.6Unverified
3MaskOCR-LAccuracy (%)82.6Unverified
4TransOCRAccuracy (%)72.8Unverified
5SRNAccuracy (%)65Unverified
6MORANAccuracy (%)64.3Unverified
7SEEDAccuracy (%)61.2Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22Unverified
2Gemini-1.5 ProAverage Accuracy76.13Unverified
3Claude-3 SonnetAverage Accuracy67.71Unverified
4RapidOCRAverage Accuracy56.98Unverified
5EasyOCRAverage Accuracy49.3Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54Unverified
2SEESequence error22Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09Unverified
2I2L-STRIPSBLEU89Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08Unverified
2EasyOCRCharacter Error Rate (CER)0.07Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86Unverified