Apps Like LinkScan: QR Code for iPhone and iPad
Ranked alternatives
Showing 381–400 of 1,000 ranked alternatives.
ScanU: QR Code Reader
Yuenhe Innovations Co., Ltd.
Scan codes and decode information
Scan documents, receipts, and notes with high accuracy. Convert scanned content into editable text. Share scans via email or messaging. Use AI to recognize and extract text from images. Save and organize scanned files in folders.
QR Code Reader - AIScan
Fan Technology Limited
Scan QR codes and share personal codes
Scan QR codes and barcodes to access links or information. nd share personal QR codes for social media connections. Use camera to snap items, search online, compare prices, and make purchases. Scan products for price information and details.
QR Code Scanner. Fast checker
KENNETH REGINA ALBERTUS BRONKHORST
Scan codes, create custom codes, share links,
Scan QR and barcode codes using camera or manual input. Create custom codes for Wi-Fi, URLs, emails, and messages. Retrieve product details and information. Save scanned codes in folders. Export data to .csv and support 15+ types.
ScanPro: QR & Barcode Reader
Advanced Apps Bangladesh Limited
Scan, decode, and create QR codes
Decode QR codes and barcodes by pointing the camera at them. Scan texts, links, contacts, emails, and locations. Create custom QR codes. Manage scan history, save important data, and search through past scans.
MAQR.VN
MAQR.VN TECHNOLOGY AND SOLUTION SYSTEM JOINT STOCK COMPANY
Scan QR codes and save history
Scan QR codes for websites, Wi-Fi, contacts, and other data. Automatically save scan history and view detailed information from scanned codes. Access saved data anytime. Features include fast scanning, a clean interface, and no cloud storage.
QR Code Reader and Creator
Alteru Inc.
Scan and create QR codes instantly
Allows users to scan and generate QR codes. Users can create QR codes for contact details, website URLs, and product links. The enables sharing of generated codes and printing them on business cards.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.