Optical character recognition
Technique
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.
Related work
- 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.
@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> .