Keep track of borrowed items easily with just one click using the QR Library app. This efficient system eliminates the need for manual data entry and typing, making it ideal for school and personal use. You can identify items or borrowers by scanning QR codes or taking photographs, allowing the app to manage the rest of the process seamlessly.
This is a trial version of the app, offering limited functionality with a maximum of 2 borrowed items concurrently. To unlock the full potential of the app, users can opt for an in-app purchase, granting unlimited item tracking capabilities.
How to Use the App
Managing borrowed items is hassle-free with QR Library. No prior data entry is required as the app operates based on Student ID cards featuring QR codes containing student names. Borrowing an item involves scanning the student card or manually entering the name. For items with QR codes or barcodes like IBANs, scanning for identification is possible. Alternatively, users can take pictures of items to facilitate tracking. The return process is just as simple: scanning the item or Student ID Card and confirming its return.
Additional Features:
- Settings: Customize the app according to your preferences.
- Backup: Ensure data security with regular backups.
- Teamwork: Share borrowing logs with others.
- Multiple Lists: Maintain separate lists for various purposes.
- Loan Period: Keep track of return deadlines efficiently.
- Languages: Available in English, German, French, and Spanish.
Create multiple QR codes easily online at www.teaching-apps.com. By entering all names at once, you can generate multiple student ID cards embedded with unique QR codes in a PDF format. These ID cards can be used across all our QR-based apps for seamless integration.
विहंगावलोकन
QR Library Ursin Tanner द्वारा विकसित श्रेणी पढ़ाई में एक Freeware सॉफ्टवेयर है।
QR Library का नवीनतम संस्करण 1.2 है, जिसे 22-09-2024 को जारी किया गया था। इसे शुरू में 22-09-2024 को हमारे डेटाबेस में जोड़ा गया था।
QR Library निम्न आपरेटिंग सिस्टमों पर चलता है: iOS.
QR Library के यूजर्स ने इसे 5 में से 2 स्टार की रेटिंग दी है।
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