Description
Recognise unstructured text, e.g. handwriting, in documents to extract information to streamline processes like account creation, loan and insurance origination and documentation
Technology & data
*** check categry and function
Key considerations
Upside3
Linked Case Studies
Case Study
US Food and Drug Administration (FDA)
US Food and Drug Administration (FDA) automates conversion of manually submitted forms to digital format with 91% accuracy using deep neural networks
Case Study
Roma Tre
Researchers at Roma Tre to analyse and transcribe historical documents from the Vatican Secret Archives using deep learning
Case Study
King''s College London
King''s College London researchers automate real-time triage of X-ray radiograph reports with high accuracy
Case Study
Dropbox
Dropbox''s in-house OCR system for document scanning outperforms commercial libraries by using neural networks
Case Study
Amazon
Amazon announces its Comprehend Medical platform to analyse unstructured medical texts
Case Study
New York Times
The New York Times automates historic photo content identification and detail extraction with Google computer vision
Case Study
Metlife
Metlife reduces document processing time by 40% by automating data capture from manual documents
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Editor: sdg