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Optical character recognition

Technique

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About Optical character recognition · from Wikipedia

Optical character recognition (OCR) or optical character reader 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 or from subtitle text superimposed on an image.

Summary from Wikipedia ↗, CC BY-SA 4.0.
  • Mistral OCR to LaTeX Jun 2026
    Mistral OCR to LaTeX is a web app that takes a PDF or photo of an academic document, such as an exam or problem set, and returns a compilable .tex file with the questions and solutions visually separated.
  • Handwritten digit OCR Oct 2024
    Handwritten digit OCR is a set of Jupyter notebooks that train convolutional neural networks to recognise handwritten digits.

In the knowledge graph

Optical character recognition and the 2 things it is linked to. Open any dot for its page, or explore it in the full graph.

As data

Everything on this page is read from triples in the knowledge graph. These are the 6 it states about Optical character recognition, and 1 more its ontology implies; the console runs SPARQL over the whole graph, here in your browser.

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@prefix id: <https://ask.chaipat.cc/id/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix cj: <https://ask.chaipat.cc/ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix schema: <https://schema.org/> .

id:OCR
    a cj:Technique ;
    rdfs:label "Optical character recognition" ;
    skos:altLabel "OCR" , "recognise handwritten digits" , "handwritten" ;
    schema:sameAs <https://en.wikipedia.org/wiki/Optical_character_recognition> .