Apps Like 橘兜-记物&物品收纳过期提醒 for iPhone and iPad
Manage items with detailed records and smart
Create detailed item records with name, price, purchase date, warranty info, and photos. Organize items into customizable storage boxes. Track emotional connections through notes and memories. View visual analytics of item distribution and value.
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
Dreamy Room
ABI GLOBAL LTD.
Unpack boxes and arrange items
Explore a virtual by opening boxes to uncover personal items and arrange them in meaningful spaces. Decorate and organize to create cozy, story-rich environments. Discover milestones and memories through thoughtful item placement and arrangement.
收纳先生
Guangzhou Sixiangxian Software Technology Co., Ltd.
Manage items, track locations, set reminders
Manage household items with smart recognition, tagging, and categorization. Track inventory, set reminders, and locate items by space. Collaborate with others, organize collections, and create combination views for clothing, books, and medications.
房天下-直播看房买房平台
Beijing SouFun Science & Technology Development Co., Ltd.
Find homes, sell fast, renovate.
The app offers real estate listings, including new and resale homes, with tools for price checking and loan calculations. It also provides renovation resources with a large image library and design services.
心水收纳-物品收纳管理&过期提醒助手
Chongqing Yongshitu Technology Co., Ltd.
Record items, set reminders, track assets
Organize and track items with customizable categories for hobbies and daily necessities. Use barcode, photo, or manual entry to add items. Monitor expenses, set reminders, and manage inventory with alerts for restocking.
Coin Scanner: Collecting App
Codabrasoft LLC
Scan, identify, and manage collectibles
Identify coins, banknotes, and exonumia by scanning images. View detailed information about each item including year, mint, and value. Organize and manage collections with categorization and inventory tracking.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.