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

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Showing 101–150 of 1209 papers

TitleStatusHype
Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document TranscriptionCode0
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts—0
Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language ModelsCode0
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI—0
MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR TextsCode0
Visual Zero-Shot E-Commerce Product Attribute Value Extraction—0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
Harnessing PDF Data for Improving Japanese Large Multimodal Models—0
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning—0
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language modelsCode0
Southern Newswire Corpus: A Large-Scale Dataset of Mid-Century Wire Articles Beyond the Front Page—0
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency—0
Adapting Multilingual Embedding Models to Historical Luxembourgish—0
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
Towards Making Flowchart Images Machine InterpretableCode1
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
Ocean-OCR: Towards General OCR Application via a Vision-Language ModelCode1
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical recordsCode0
Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images—0
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents—0
Jochre 3 and the Yiddish OCR corpusCode0
MathReader : Text-to-Speech for Mathematical DocumentsCode1
Comparative analysis of optical character recognition methods for Sámi texts from the National Library of NorwayCode0
Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelCode0
Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line AnalysisCode0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild—0
Efficient Video-Based ALPR System Using YOLO and Visual RhythmCode0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes—0
Crossing Language Borders: A Pipeline for Indonesian Manhwa TranslationCode0
Embedding Similarity Guided License Plate Super Resolution—0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark—0
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
2.5 Years in Class: A Multimodal Textbook for Vision-Language PretrainingCode2
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and ReasoningCode4
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions—0
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary StudyCode0
ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing—0
HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images—0
VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data—0
LMV-RPA: Large Model Voting-based Robotic Process AutomationCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource ScriptsCode0
TextSleuth: Towards Explainable Tampered Text Detection—0
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal CluesCode0
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment—0
Advanced ingestion process powered by LLM parsing for RAG system—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
1DTrOCRAccuracy (%)89.6—Unverified
2DTrOCR 105MAccuracy (%)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