F-T-C
Turn school notes, PDFs, and teacher-provided slides into flashcards and MCQs in a few clicks. ONCard keeps the workflow local, so study material can be processed on the device without sending private class content to a cloud service.
Summarizer model
QNS-1 is ONCard's advanced in-house summarizer model, built for fast English study summaries. It can summarize up to 6,000 English words in under a second on almost all devices, and has been tested above 100 tokens per second on mobile Snapdragon chips, including Snapdragon 888.
Personalization engine
NNA is the pipeline at the center of ONCard. It combines heuristics and neural networks to understand how a learner studies, where recall weakens, and how review should adapt. The result is a system that prioritizes the cards the user actually lacks instead of repeating what they already know.