Enables speech-to-text transcription and summarization of lecture audio using Naver CLOVA APIs. Provides MCP tools for short and long audio processing with summarization.
Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.
Turns any source material into a guided learning experience with learning maps, notes, four-phase study loop, spaced repetition flashcards, and grounded Q\&A.
Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.
Enables AI coding agents to capture screen and voice recordings, extract timestamped frames, and receive structured Markdown reports with context for bug fixing and UI feedback.
A local evidence recorder that captures screenshots, recordings, notes, and summaries during long-running agent tasks, enabling reviewable task records with timelines and artifacts.