Sleepy Train: Calm Bedtime
Toddler Routine & Big Feelings
About
This app helps children establish a calming bedtime routine through interactive play with a train character. It addresses big feelings and teaches breathing exercises, making bedtime a peaceful experience for both child and parent. The content is fully spoken and designed for independent use by young children.
What's New in Sleepy Train
1.0
July 24, 2026
In-App Purchases
$4.99
Sleepy Train - Full Unlock
All functionality for Sleepy Train Unlocked
Developer apps
FAQ
What is Sleepy Train?
Sleepy Train is an interactive app designed to help children establish a calming bedtime routine. It features a train character that children can help put to bed, incorporating elements like feeding, washing, and tucking in.
What age is Sleepy Train for?
Sleepy Train is made for ages 2-6 and is COPPA compliant. The content is fully spoken, requiring no reading, allowing young children to engage independently.
Does Sleepy Train have ads?
No, Sleepy Train is completely ad-free. The developers emphasize a distraction-free experience for children during bedtime.
How much does Sleepy Train cost?
Sleepy Train costs $4.99 to unlock all features permanently. There are no subscriptions, and it is a one-time purchase.
Can Sleepy Train be used offline?
Yes, Sleepy Train works completely offline. This makes it ideal for use during road trips, on airplanes, or during power outages.
Does Sleepy Train collect user data?
No, Sleepy Train does not collect or track any user data. The app is designed with privacy as a priority, ensuring nothing is shared.
What kind of educational content does Sleepy Train offer?
Sleepy Train helps children manage 'big feelings' by treating them like weather, teaching them words for their emotions. It also includes breathing exercises modeled after train steam, which are designed to be engaging even for very young children.
How often is Sleepy Train updated?
Sleepy Train was last updated on 2026-07-24 with version 1.0. As a new release, future updates will likely focus on adding content and refining features based on user feedback.