App info
Listening is a productivity tool that transforms written text into spoken audio. The app can take content from PDFs, web pages, and emails and convert it using a selection of high-quality, natural-sounding AI voices. This allows users to consume articles, papers, and other documents while multitasking, commuting, or exercising.
The app's core strength is its audio player, which syncs spoken words with highlighted text on the screen (03:07). This multi-sensory approach boosts comprehension and makes it easy to follow along. The user experience around file management is also straightforward. After converting a file from a link (02:22), it appears in a central library where it can be renamed (04:59) or organized.
The app uses a free trial model with a paywall that appears after a lengthy onboarding tutorial. At 01:25, the paywall presents two options: a monthly and a yearly plan. It builds trust by including a user testimonial and a high star rating directly on the screen. A particularly clever growth tactic appears at 01:54: immediately after a user subscribes, the app asks "How did you hear about us?" to gather valuable marketing attribution data.
This app is designed for students, academics, and professionals who need to get through large volumes of reading material. It's also valuable for multitaskers who want to catch up on articles or newsletters while driving or working out. Additionally, the synced text-audio feature makes it a strong accessibility tool for individuals with reading disabilities or anyone who learns better through multi-sensory input.
The onboarding flow is very long and forces a user to create an account and complete a tutorial before they can even see the main app. While educational, this creates significant friction that could deter some users. At 00:41, the tutorial begins, and the user doesn't reach a paywall until 01:25. Testing a shorter onboarding that allows a user to convert one file for free before hitting the paywall could be a worthwhile experiment to improve initial conversion rates.
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