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 71–80 of 1209 papers

Title	Date	Tasks	Status	Hype
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents	Apr 1, 2025	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model	Mar 24, 2025	Language ModelingLanguage Modelling	CodeCode Available	1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments	Feb 10, 2025	BenchmarkingOptical Character Recognition	CodeCode Available	1
Towards Making Flowchart Images Machine Interpretable	Jan 29, 2025	Code GenerationOptical Character Recognition (OCR)	CodeCode Available	1
Ocean-OCR: Towards General OCR Application via a Vision-Language Model	Jan 26, 2025	document understandingLanguage Modeling	CodeCode Available	1
MathReader : Text-to-Speech for Mathematical Documents	Jan 13, 2025	Optical Character Recognition (OCR)text-to-speech	CodeCode Available	1
Geometry Restoration and Dewarping of Camera-Captured Document Images	Jan 6, 2025	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding	Jan 1, 2025	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts	Nov 16, 2024	Mixture-of-ExpertsOptical Character Recognition (OCR)	CodeCode Available	1
Toxicity of the Commons: Curating Open-Source Pre-Training Data	Oct 29, 2024	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1

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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 105M	Accuracy (%)	89.6	—	Unverified
2	DTrOCR	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