SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 1209 papers

TitleStatusHype
Text Change Detection in Multilingual Documents Using Image Comparison—0
Text Detection on Technical Drawings for the Digitization of Brown-field Processes—0
TextDiffuser: Diffusion Models as Text Painters—0
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis—0
Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media—0
Text Extraction From Texture Images Using Masked Signal Decomposition—0
TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis—0
TextMaster: Universal Controllable Text Edit—0
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network—0
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text—0
TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision—0
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation—0
Text Recognition in Scene Image and Video Frame using Color Channel Selection—0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
TFIC: End-to-End Text-Focused Image Compression for Coding for Machines—0
The Corpora They Are a-Changing: a Case Study in Italian Newspapers—0
The future of document indexing: GPT and Donut revolutionize table of content processing—0
The goo300k corpus of historical Slovene—0
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting—0
The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking—0
The Labeled Segmentation of Printed Books—0
The Making of the Royal Society Corpus—0
The mathematics of language learning—0
The Monge-Kantorovich Optimal Transport Distance for Image Comparison—0
The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing—0
Show:102550
← PrevPage 29 of 49Next →
All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6—Unverified
2DTrOCR 105MAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified