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Extract, preview, and save course transcripts from LinkedIn Learning for personal study in TXT, Markdown, SRT, VTT, and JSON. **Extension Name** Transcript Downloader for LinkedIn Learning **Short Description** Extract, preview, and save course transcripts from LinkedIn Learning for personal study in TXT, Markdown, SRT, VTT, and JSON. **Detailed Description** Transcript Downloader for LinkedIn Learning is an independent study and accessibility tool designed to help learners easily extract, format, and save video and course transcripts directly to their computer. KEY FEATURES - Single Lesson Download: Save the clean transcript of any active video lesson in one click. - Full Course Batch Export: Sequentially processes the course outline and compiles all lesson transcripts into a single clean document. - Multiple Formats: Export to Plain Text (.txt), Markdown (.md), SubRip Subtitles (.srt), WebVTT (.vtt), and structured JSON (.json). - Clean Text Formatting: Automatically strips out UI boilerplate, status badges, and tooltip instructions, delivering clear, readable text. - Live Searchable Preview: Search and preview transcript lines directly within the popup before exporting. - 100% Client-Side & Private: All extraction runs locally in your browser session. No data, credentials, or analytics are ever transmitted to external servers. HOW TO USE 1. Navigate to any course on LinkedIn Learning (e.g. linkedin.com/learning/...). 2. Open the extension icon in your toolbar. 3. Choose your desired export format (TXT, MD, SRT, VTT, JSON) and timestamp settings. 4. Click "Download Current Lesson", "Copy Text", or "Full Course". DISCLAIMER & TRADEMARK NOTICE This extension is an independent productivity and accessibility tool created for personal note-taking and educational purposes. It is not affiliated with, authorized, maintained, sponsored, or endorsed by LinkedIn Corporation, Microsoft Corporation, or any of their affiliates. LinkedIn and LinkedIn Learning are registered trademarks of LinkedIn Corporation.
Aug 20, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.