Listen to JSTOR — Turn Academic Papers into Audio

JSTOR is one of the world's most important digital libraries, providing access to over 12 million academic journal articles, books, images, and primary sources spanning 75 disciplines. Used by researchers, professors, and students at more than 11,000 institutions globally, JSTOR is a cornerstone of academic work — from undergraduate term papers to doctoral dissertations and peer-reviewed publications.

The challenge with JSTOR is volume. A graduate student conducting a literature review might need to read 30-50 articles in a week. A professor preparing a course syllabus scans hundreds of abstracts each semester. The reading demands of academic life are relentless, and JSTOR's entirely text-based interface means every paper requires focused screen time — there's no built-in option to listen.

CastReader adds text-to-speech to JSTOR as a free Chrome extension. Navigate to any JSTOR article page, click the extension icon, and the article reads aloud with natural AI voices. Each paragraph highlights as it's spoken, so you can follow along visually or simply listen. Adjustable speed from 0.5x to 3x lets you match the pace to your purpose — slower for dense methodology sections, faster for scanning introductions.

For researchers with visual impairments or reading disabilities like dyslexia, CastReader transforms JSTOR from an inaccessible text archive into an audio-first research tool. Screen readers provide basic page navigation, but CastReader delivers a purpose-built reading experience with paragraph tracking, speed control, and clean content extraction that skips navigation and metadata.

The productivity gains compound over time. Listening to previously-read papers during commutes reinforces retention without additional screen hours. Scanning abstracts via audio at 2x speed lets you triage a large reading list in a fraction of the time. And the dual-channel benefit of reading while listening helps complex academic arguments stick on the first pass — reducing the re-reading that eats into research timelines.