3 items
Compress long articles before you feed them to LLMs in order to reduce token usage. Morgana - LLM Text Compressor Morgana is a powerful, lightweight browser extension designed for developers, researchers, and AI enthusiasts who want to maximize their efficiency when working with LLMs. When you paste long articles and documentation into models like Gemini, ChatGPT, or Claude, you waste thousands of expensive tokens on grammatical filler, conversational fluff, and redundant syntax. Morgana solves this by instantly translating your raw text into a dense, token-optimized shorthand format. Key Features: Save Up to 50% on Tokens: Morgana intelligently compresses long texts by approximately 50% while strictly preserving core semantic meaning, instructions, code blocks, and critical constraints. Seamless File Integration: Don't waste time copying and pasting. Easily upload your .txt files directly into the extension, compress them instantly, and download the optimized output with a single click. 100% Free Forever: No hidden fees, no subscriptions, and no usage tiers. Bring your own Google Gemini API key and compress as much text as you need without paying a dime for the tool. Privacy First: Your data belongs to you. Your API key and text contents are processed securely and stored locally in your browser. How It Works: Open the Morgana popup and input your free Google Gemini API key. Paste your text or upload a .txt file. Click Compress & Copy to Clipboard. Feed the hyper-dense output directly into your LLM of choice and watch your token usage plummet.
Jun 9, 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.