Overview


QANDA, used by over ten million students worldwide, is developing the future of education with leading national publishers through the use of cutting-edge AI. It precisely digitizes problem photos with the world's best OCR (Optical Character Recognition) technology, providing learners with personalized educational content.

It builds a global learning environment with Transformer-based problem type classification and recognition of various languages, and improves AI model accuracy with Human in the Loop. QANDA supports every student in reaching their potential through personalized education and redefines the future of education alongside the advancement of AI technology.

QANDA's AI Technology Opens the Future of Education


QANDA supports every student in realizing their potential through personalized education and redefines the future of education with the advancement of AI technology.

Document OCR: Digital Transformation


QANDA possesses world-class OCR technology capable of extracting accurate information from students' submitted photos of problems. This technology allows for the conversion of content from textbooks and similar publications into digital metadata.

QANDA has developed three key OCR models. The first is an OCR (Text Detection OCR) that identifies equations and text areas within a problem area. The second and third models, Expression OCR and Text Recognition OCR, read the content from identified equation and text areas, respectively. Using these three models, document content is very accurately converted into formats widely used on the web, including LaTeX.

The First Step in Content Classification: Auto Boxing

When a page includes multiple problems, QANDA utilizes vision technology for segmenting documents in HWP, DOC, or PDF formats into individual problem units. This allows a book to be separated into individual problems within seconds.

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Sophisticated Text Detection

QANDA's OCR technology, specialized for mathematics problems, precisely recognizes the content of math problems, distinguishing between equations and text. This technology, known as Layout Analysis, delicately differentiates between problem areas, diagrams, choices, and options.

Innovative Expression OCR

QANDA owns magical technology capable of converting complex formulas and handwriting in math problems into LaTeX format, making it easy for users to digitize and process even complex equations.

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