1. Home
  2. Productivity
  3. How to listen to text from Safari
Productivity

How to listen to text from Safari

Learn how to import Safari Articles into your Speechify library using the iOS App

Tyler Weitzman

Tyler Weitzman

MS in Computer Science, Stanford University, Dyslexia & Accessibility Advocate, CEO/Founder of Speechify

post cover image
Listen to this article with Speechify!
Speechify

Speechify is a powerful Text-to-Speech tool which allows you to listen to text from anywhere in the digital and physical world including articles in Safari.

This allows you to have the superpower to listen to articles on the go while increasing retention and comprehension. This is because you can double the input by reading and listening at the same time.

Here's how you can utilize the Speechify iOS App to listen to your favourite articles on the web.

How to Listen to Safari Articles

  1. Find an article you want to read or just listen to this post
  2. Click on the share icon at the bottom of your screen
  3. Select the Speechify Icon in the share sheet
  4. Now you can add this file into your library or start listening immediately

Use Speechify Text-to-Speech Application today on iOS, Android, Mac and Chrome to listen to any text and become 3x more productive today

Enjoy the most advanced AI voices, unlimited files, and 24/7 support

Try For Free
tts banner for blog

Share This Article

Tyler Weitzman

Tyler Weitzman

MS in Computer Science, Stanford University, Dyslexia & Accessibility Advocate, CEO/Founder of Speechify

Tyler Weitzman is the Co-Founder, Head of Artificial Intelligence & President at Speechify, the #1 text-to-speech app in the world, totaling over 100,000 5-star reviews. Weitzman is a graduate of Stanford University, where he received a BS in mathematics and a MS in Computer Science in the Artificial Intelligence track. He has been selected by Inc. Magazine as a Top 50 Entrepreneur, and he has been featured in Business Insider, TechCrunch, LifeHacker, CBS, among other publications. Weitzman’s Masters degree research focused on artificial intelligence and text-to-speech, where his final paper was titled: “CloneBot: Personalized Dialogue-Response Predictions.”