Wonder Wisp is a web-based service for creating personalized children’s storybooks. It is aimed at parents and centers on bedtime stories in which the child is the main character. The site describes the books as personalized storybooks and says each story stars the child.
The process is presented in three steps: describe the child’s appearance, pick an adventure by choosing a theme and describing the story idea, and then read or download the finished book. Wonder Wisp says its AI crafts the tale, keeps the child’s look consistent across stories, and generates a complete illustrated story in seconds. It also says every page includes AI-generated artwork, the stories are ready in 2 to 3 minutes, and built-in safety guardrails keep the content age-appropriate and gentle for bedtime.
Finished stories can be read online or downloaded as a PDF for printing or offline reading. The service also includes a story gallery and learning hub among its site sections, though the core product described on the page is the storybook creator itself.
Pricing is credit-based. A free sign-up includes 15 credits and no credit card is needed to start. The pricing table lists a Starter option at $5 for 50 credits, a Popular option at $20 for 220 credits with 10% bonus credits, and a Family option at $50 for 600 credits with 20% bonus credits. The page also gives story costs by length: short stories cost 8 credits, standard stories 10, adventure stories 13, and epic stories 15. The page footer identifies Wonder Wisp as the maker and includes links for terms of service and privacy policy.
Wonder Wisp is an AI project. It focuses on creating unique, illustrated storybooks personalized for each child without manual design or writing. Wonder Wisp is a consumer product aimed at parents of young children. Wonder Wisp follows a freemium model, with paid plans starting at $12. It runs on the web.
Wonder Wisp first shipped in 2026. Key capabilities include personalized storybooks, AI-generated illustrations, and consistent character profiles.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do