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 1181–1190 of 1209 papers

Title	Date	Tasks	Status
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records	Jan 20, 2025	HTROptical Character Recognition (OCR)	CodeCode Available
Advancing Post-OCR Correction: A Comparative Study of Synthetic Data	Aug 5, 2024	Optical Character Recognition (OCR)Synthetic Data Generation	CodeCode Available
Robust Scene Text Recognition with Automatic Rectification	Mar 12, 2016	Optical Character Recognition (OCR)Scene Text Detection	CodeCode Available
Building a Part-of-Speech Tagged Corpus for Drenjongke (Bhutia)	Dec 1, 2020	Optical Character Recognition (OCR)POS	CodeCode Available
Time-Aware Word Embeddings for Three Lebanese News Archives	May 1, 2020	Optical Character Recognition (OCR)Word Embeddings	CodeCode Available
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning	May 22, 2025	Optical Character Recognition (OCR)Visual Reasoning	CodeCode Available
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages	Dec 14, 2024	Machine TranslationOptical Character Recognition	CodeCode Available
Convolution-based Probability Gradient Loss for Semantic Segmentation	Apr 10, 2024	Optical Character Recognition (OCR)Semantic Segmentation	CodeCode Available
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation	May 9, 2023	DecoderMachine Translation	CodeCode Available
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss	Jan 1, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available

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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