Read Me Aloud guides young readers, validating their efforts and reinforcing their confidence. The text is segmented into short sentences; the current sentence is highlighted. While the child reads, words are colored, one by one.
iPad tales for kids who are learning to read
Read Me Aloud guides young readers, validating their efforts and reinforcing their confidence. The text is segmented into short sentences; the current sentence is highlighted. While the child reads, words are colored, one by one.
was interested in it. But, It just shows confirm screen. can't proceed further
Awesome! 😊👏 Congrats on the launch! Is it only in English, or there are other languages as well? 😃
Love the concept and the app! Couldn’t test the app just yet as I don’t have an iPad with me, but it would cool to have the ability to mark a world as difficult. Those words would go in a list where they can be practiced again and again in isolation! Great work and congratulations on the launch!
Congrats on the launch! Love the visuals of the app! 😍
Read Me Aloud was developed to help my kid train his reading skills. My oldest kid started primary school in 2021. During the summer of 2022 I started searching for reading-trainings apps in the App store, but couldn’t find any. I built a prototype to verify the concept and then I started sketching a real app. I’ve always been fond of inventing silly tales for my kids; they are always looking for new tales, and don’t want the same plot twice. Thus Read Me Aloud was born: a collection of original
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.