From Voice to Insights: The Technology Behind Notely’s Audio Transcription

Have you ever wondered how Notely turns recorded lectures, meetings, or even impromptu voice notes into useful text summaries and flash cards? This post takes you behind the scenes to explore the AI architecture that powers our speech-to-text magic.

Automatic and Accurate

Notely leverages deep-learning models trained on diverse speech datasets to handle different accents, background noise, and jargon. Upon upload or recording, your audio is processed and transcribed using cutting-edge AI with industry-leading precision.

Summarization: More Than Just Notes

After transcription, Notely’s AI reads your text and distills the main ideas. Summarization isn’t just about shortening content — it’s about understanding meaning. Our algorithms identify themes, extract action points, and prepare the information for easy review.

Learning Made Effortless

Notely goes further by transforming summaries into interactive flash cards. The same natural language understanding that powers transcription selects key terms, definitions, and concepts for self-quizzing or review.

Curious about the tech? Explore our GitHub repository for documentation and code!