The creator undertook a three-day challenge to digitalize her entire wardrobe using the Whering app, demonstrating the meticulous photographing and uploading process.
She outlined 8 key benefits of digitalizing a wardrobe, including visualizing all items, trying on virtual outfits, finding inspiration, and rediscovering forgotten pieces, and showed how the app helps plan outfits with weather integration.
The process involved extensive photographing of clothes and accessories, followed by uploading and detailed categorization within the app, where she demonstrates step-by-step how to add items and refine their details.
Whering provides useful statistics, clearly shown in the app interface, revealing the total value of her wardrobe (€1,725) and its composition (e.g., 78% pre-loved, 95% from sustainable sources).
A standout feature is the random outfit generator, which proposes new combinations from the user's uploaded items, encouraging unique styling, and is visually demonstrated with four different outfit try-ons.
The creator demonstrated how to register items, including adding pricing and acquisition details, and showed how to refine generated outfits by modeling them.
Overall, the app proved to be a transformative tool for wardrobe management, promoting conscious consumption and personal style exploration.
A calendar function allows for pre-planning outfits, which can be linked to weather forecasts, as shown in the app interface.
7. Gain Perspective on Your Clothing Usage [01:26]
Detailed statistics provide insights into how frequently items are worn and their cost-per-wear.
Day 1: Photographing Clothes [01:53] [Image 4] [Image 6]
The first step of the digitalization process involves taking clear photos of all clothing items, starting with a visibly full closet and clothes piled on the bed.
The creator demonstrates photographing a full outfit including a striped shirt, jeans, a belt, and accessories like bracelets and earrings.
A tip for photographing belts: place them around a pillow to give them shape, making them appear better once the background is removed.
This step is identified as labor-intensive and expected to take several days.
Day 2: Uploading Items and Initial App Exploration [03:03]
The creator continues the long process of photographing clothes, as shown by her ongoing efforts.
In the evening, she begins uploading the photographed items to the Whering app.
She tests the app's functionality for creating random outfits [Image 15].
She expresses great satisfaction with this feature, enjoying the novelty of having outfits generated for her, and shows some initial outfit ideas in the mirror.
The tool allows for customization, letting users adjust elements within the suggested outfits.
For items like vests that are meant to be layered, categorize them as "jackets" in the app. This ensures the randomizer suggests them as overlayers rather than main tops.
For accessories like earrings, multiple photos from different angles are taken to ensure the best one is used after background removal, as visually demonstrated.
Colors: Auto-detected but can be refined (e.g., removing "grey" if the item is purely "gold").
Tags: Auto-generated (e.g., "rayures horizontales" - horizontal stripes) but often inaccurate; the creator chooses to mostly ignore these.
Price and Date of Purchase: Manually entered to track spending and item longevity.
State: Selected from options like "Pré-aimé" (pre-loved/second-hand), "Nouveau" (new), "Location," "Fait main" (handmade), or "Donné" (given), as shown in the app's dropdown menu. The app also displays a virtual outfit canvas where items are placed.
Status: Can be set for items needing attention (e.g., "Linge" - laundry, "Échanger" - exchange, "Donner" - donate, "Réparer" - repair).
A pie chart clearly breaks down items by how they were acquired: 78% pre-loved, 9% new, 2% handmade, and 11% donated, a statistic she proudly displays.
She expresses pride in her high percentage of second-hand and non-new items.
Shows how long items have been in the wardrobe, based on the purchase date entered.
The Outfit Generator [15:14] [Image 24] [Image 28]
The creator demonstrates the "Dress Me" feature, which generates random outfits from her digital wardrobe, by first selecting items from a grid within the app and then trying them on.
Initially finds the combination challenging due to conflicting patterns but tries to make it work by adding a khaki trench coat, red belt, and red earrings, showing the styled result.
She also adds black tights for a more complete and appropriate look for colder weather.
The creator emphasizes the liberating aspect of the app's random generator, as it forces her to consider combinations she wouldn't normally try, all with her own existing clothes.
She encourages viewers to add her on Whering (@_chatcheper) to style pieces from her digital wardrobe, hinting at a collaborative future video.