Web application designed for desktop and mobile devices which allows editing book covers, applying templates, uploading manuscripts, and tracking book publishing workflow. The application contains a custom graphics editor for book cover design. The Graphics editor supports book cover templates. Templates help users create a custom design.
Web based graphics editor for small mobile devices
One of the requirement was to have a book cover editor in the application which allows editing book cover within the bounds of some template. The editor should work on small touchscreen devices like mobile phones. The user should have the possibility to edit the book's front book cover, back, and spine and preview the whole picture of a future book. The user should be able to work with layers, and elements, use filters and elements to create a unique design.
We developed custom editor extremely stable and designed specially for touch devices. The heart of the editor is KonvaJS library.
Creating audiobook based on user manuscript
The customer requirement is creating a sample for listening, based on the loaded manuscript into the system by the user. The platform should allow making a choice for a user for professional proofreading of an audiobook or the user's one. With the user's proofreading, the user listens to fragments of the book and edits the resulting record. The finished result is a ready audiobook.
Sampling, user proofreading, and professional audiobooks based on the service Speechki.
AI images generator
Customer requirement is integration into the application of an AI-based image generator that allows the user to create a unique image in dependence of their search queries and using this image for a book cover.
Image generation based on API request to Stable Diffusion service.
Order printing book
Implementation of the possibility to order printing books using user-specified parameters. The main part is to make calculations by counting the number of characters and pages for the automatic forming size of the book spine.
Based on the analysis of the document uploaded by the user and the placement of an order on Amazon.
