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 881–890 of 1209 papers

Title	Date	Tasks	Status
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding	Jul 4, 2023	document understandingLanguage Modeling	—Unverified
MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning	May 26, 2025	document understandingMachine Translation	—Unverified
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition	Oct 20, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation	Jun 16, 2025	Optical Character Recognition (OCR)	—Unverified
Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition	Jul 25, 2023	Language ModellingOptical Character Recognition (OCR)	—Unverified
Multi-Input Attention for Unsupervised OCR Correction	Jul 1, 2018	DecoderOptical Character Recognition (OCR)	—Unverified
Multikernel activation functions: formulation and a case study	Jan 29, 2019	Optical Character Recognition (OCR)	—Unverified
Multilingual Named Entity Recognition for Medieval Charters Using Stacked Embeddings and Bert-based Models.	Jun 1, 2022	HTRMultilingual Named Entity Recognition	—Unverified
Multimodal Sentiment Analysis: Perceived vs Induced Sentiments	Dec 12, 2023	Multimodal Sentiment AnalysisOptical Character Recognition (OCR)	—Unverified
Multimodal Short Video Rumor Detection System Based on Contrastive Learning	Apr 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 89 of 121Next →

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