TimeWell also allows users to order a hardcopy photo book through the platform.

To start creating the photo book, users can either import the photos from the photo and album library they’ve already created on the platform or upload pictures from their devices. Users also customize the title and the cover for the photo book.

Similar to their online library, users can invite others to help them build the book.

In the hard copy, on each page, you’ll have the photo you’ve selected to include in the book, along with a QR code that will hold all the voice recordings you’ve attached to it. You can listen to the stories and read the details behind the photos of your book after scanning the QR code.

To connect our website with our partner print shop, we’ve created a PHP service known as the ‘PrintApiService’. This service acts as the bridge between our system and the OCL (One Click Layout) Printing API. It handles the generation of a ‘print request’. This process involves collating all the essential details of the book. Once these details are compiled, they’re transformed into a format that the OCL Printing API can interpret. This exchange takes place via secure HTTP protocols, ensuring the integrity and safety of the data.

Additionally, this service calculates shipping costs by communicating specific order details to the OCL API, such as the number of books and delivery location.

After sending the book data for printing, the service stays in contact with the OCL API to monitor the status of the order, providing updates on the processing, printing, and shipping stages.

One of the requirements that our printing API had was for the QR component (originally an HTML component consisting of a container, QR code, logo, and short link) to be delivered as an image.

We couldn’t store individual QR codes due to the exorbitant storage space that would be needed. So we decided to construct an image from all the static parts of the QR component, generate dynamic data (QR and URL) and assemble it all for each individual request. To protect this method from DDoS attacks and save on resources, we developed a dual-endpoint strategy: public one for low-resolution, resource-effective, on-page rendering QR components and private high-resolution QR components for printing.

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