UMichScribe: Lecture Transcript av Hiro

Exports synchronized lecture transcripts and high-res slides from U-M lecture videos for study and AI review. Unofficial tool.

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Om denne utvidelsen

UMichScribe is a privacy-first, open-source browser extension that extracts synchronized lecture transcripts and high-definition slide milestones from University of Michigan lecture recordings (LecCap, Kaltura, and Canvas LMS).

Designed for students who want to study efficiently or feed rich lecture context into modern multimodal AI models, UMichScribe pairs spoken instructor dialogue with the exact visual slide frame being discussed.
🌟 Key Features

📄 Embedded PDF Export (Best for AI Vision): Embeds full-resolution 960×720 visual slide captures directly on each page alongside synchronized speech cues for multimodal AI inspection.
📝 Markdown Export (.md): Generates clean, beautifully formatted notes with # headers, slide timestamps, speaker cues, and embedded slide images for Obsidian and Notion.
📄 Plain Text Export (.txt): Pure, lightweight text formatted for universal scratchpads and fast copy-pasting.
⚡ 10× Fast Parallel Downloading: Employs an asynchronous worker pool with concurrent connections to download 100+ slide frames in just 3 to 4 seconds.
🎯 Smart Lecture Detection: Automatically discovers course numbers and recording dates for effortless organization.
⏱ Time Range Filtering: Filter by custom start and end timestamps to export specific problem walkthroughs.
🧹 Conservative Caption Cleanup: Intelligently merges fragmented captions and removes duplicate cues.

🔒 Privacy & Permissions

100% Local &amp; Client-Side: Zero external servers, zero analytics, and zero cloud storage.
Minimal Permissions: Uses activeTab, webNavigation, and downloads strictly to parse lecture players on screen and save files locally.
No Media Piracy: Does not download video or audio streams. Operates only on authorized closed-caption interfaces and slide metadata you are currently viewing.

Disclaimer: Unofficial tool created for student study efficiency. Not affiliated with, sponsored by, or endorsed by the University of Michigan, Instructure, or Kaltura. Requires authenticated student or faculty access to view recordings.

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