Freedaa
Freedaa, an in-house software created by Wowflux, brought together the power of AI and efficient bulk processing. It was designed to cater to E-commerce portals, offering a convenient solution for managing and tracking image processing orders.
With Freedaa, users could streamline workflows and leverage AI to simplify image processing, revolutionizing the way E-commerce platforms handle their images.
Basically How Freedaa Works:
Please click on images and read the description of the process
Regrettably, due to Wowflux's highly agile process, low fidelity models were not prioritized. Instead, an emphasis was placed on developing high fidelity models for every application. The decision to incorporate a dark theme was driven by the intention to create a sense of familiarity with editing software.
Now, let's take a glimpse into the wireframing process:
The Main Process Screens
Background Removal
The background removal feature offered a seamless user experience by enabling users to effortlessly drag and drop folders for bulk processing. This functionality proved to be highly advantageous as it effectively extracted products from RAW camera images, resulting in significant time savings when handling a substantial volume of images.
Impressively, the background removal process demonstrated remarkable speed, capable of processing 20 images within a mere 5 seconds. This accelerated processing time empowered users to efficiently accomplish their tasks, enhancing overall productivity and efficiency within image editing workflows.
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Please click on the image to zoom in
Combo Generation
This particular module within the app was specifically developed to facilitate combination listings, including front/back views for apparel, left/right views for footwear, and various other combination pairings.
Users were provided with the flexibility to bulk adjust the padding between the paired images. Additionally, the app allowed for easy swapping between different combination pairings. To ensure accuracy, users could process a sample image to verify the correctness of the padding, with the ability to repeat this process as many times as needed.
This module significantly streamlined the creation of combination listings, offering users precise control over the visual presentation of their products. The intuitive features and flexibility provided by the app empowered users to achieve optimal results while saving time and effort in the listing creation process.
Adaptation Tool
The adaptation tool in the app efficiently managed mass resizing, padding, center alignment, and adjustments. It was remarkably fast, performing tasks seven times faster than experienced image editors. Users could process bulk operations of up to 200 images at a time.
Additionally, the tool offered a live preview feature, allowing users to preview adaptations before executing the bulk processing. This capability enabled users to fine-tune settings and ensure desired outcomes, saving time and reducing errors.
With its speed, efficiency, and live preview functionality, the adaptation tool was a valuable asset, enabling users to quickly and accurately handle resizing and alignment tasks for large image batches.
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Though a problem still remains..
Although even with all the processes being faster, the process of entering the specifications was still manual, which devoured a large chunk of man hours. To fix this problem, I created the automation portal to save specifications, it would record your preferences and repeat them with however many images you wanted.
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Recognizing the need to streamline over 50 specifications, I took the initiative to develop the drawer specifications system. This system was designed to guide users through a set of choices, allowing them to select their desired specifications, add-ons, and retouching options. To enhance the user experience, a live preview feature was implemented, enabling users to upload their sample image and see real-time results.
By leveraging automation, users experienced significant time savings and improved efficiency, with the ability to access their saved specifications effortlessly. This streamlined approach not only expedited the workflow but also ensured consistency and accuracy in the customization process.
This cut down the already fast processing time by half.
The remaining screens include:
How did this help?
This cut down the bulk processing of images by almost Half compared to other image editing softwares, making it an exponentially faster processing system for images.