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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 1209 papers

Title	Date	Tasks	Status	Hype
DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment	Jul 17, 2025	Document Image Quality AssessmentImage Quality Assessment	CodeCode Available	0
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning	Jul 17, 2025	Language ModelingLanguage Modelling	CodeCode Available	0
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis	Jul 15, 2025	MarketingOptical Character Recognition	—Unverified	0
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends	Jul 14, 2025	document understandingOptical Character Recognition	—Unverified	0
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning	Jul 9, 2025	BenchmarkingImage Retrieval	CodeCode Available	0
Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices	Jul 9, 2025	Boundary DetectionOptical Character Recognition (OCR)	—Unverified	0
TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision	Jul 8, 2025	Image GenerationOptical Character Recognition (OCR)	—Unverified	0
PaddleOCR 3.0 Technical Report	Jul 8, 2025	document understandingKey Information Extraction	CodeCode Available	0
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration	Jul 7, 2025	Optical Character Recognition (OCR)	CodeCode Available	2
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images	Jun 26, 2025	document understandingOptical Character Recognition (OCR)	CodeCode Available	0

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All datasets Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study VideoDB's OCR Benchmark Public Collection FSNS - Test I2L-140K SUT im2latex-100k

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DTrOCR	Accuracy (%)	89.6	—	Unverified
2	DTrOCR 105M	Accuracy (%)	89.6	—	Unverified
3	MaskOCR-L	Accuracy (%)	82.6	—	Unverified
4	TransOCR	Accuracy (%)	72.8	—	Unverified
5	SRN	Accuracy (%)	65	—	Unverified
6	MORAN	Accuracy (%)	64.3	—	Unverified
7	SEED	Accuracy (%)	61.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4o	Average Accuracy	76.22	—	Unverified
2	Gemini-1.5 Pro	Average Accuracy	76.13	—	Unverified
3	Claude-3 Sonnet	Average Accuracy	67.71	—	Unverified
4	RapidOCR	Average Accuracy	56.98	—	Unverified
5	EasyOCR	Average Accuracy	49.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STREET	Sequence error	27.54	—	Unverified
2	SEE	Sequence error	22	—	Unverified
3	AttentionOCR_Inception-resnet-v2_Location	Sequence error	15.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	I2L-NOPOOL	BLEU	89.09	—	Unverified
2	I2L-STRIPS	BLEU	89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tesseract	Character Error Rate (CER)	0.08	—	Unverified
2	EasyOCR	Character Error Rate (CER)	0.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	I2L-STRIPS	BLEU	88.86	—	Unverified