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 11–20 of 1209 papers

Title	Date	Tasks	Status	Hype
Nougat: Neural Optical Understanding for Academic Documents	Aug 25, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	5
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model	Apr 28, 2023	Instruction Followingmodel	CodeCode Available	5
On Path to Multimodal Historical Reasoning: HistBench and HistAgent	May 26, 2025	Optical Character Recognition (OCR)	CodeCode Available	4
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning	Dec 31, 2024	BenchmarkingLogical Reasoning	CodeCode Available	4
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark	Sep 4, 2024	Optical Character Recognition (OCR)	CodeCode Available	4
AnyText: Multilingual Visual Text Generation And Editing	Nov 6, 2023	Image GenerationOptical Character Recognition (OCR)	CodeCode Available	4
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition	Jul 21, 2015	Optical Character Recognition (OCR)Scene Text Recognition	CodeCode Available	4
From Panels to Prose: Generating Literary Narratives from Comics	Mar 30, 2025	Optical Character Recognition (OCR)	CodeCode Available	3
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion	Dec 5, 2024	Contrastive LearningHallucination	CodeCode Available	3
PaliGemma 2: A Family of Versatile VLMs for Transfer	Dec 4, 2024	Language ModelingLanguage Modelling	CodeCode Available	3

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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