Lost-Found app icon

Apps Like Lost-Found for iPhone and iPad

by Logistic Solutions Inc.★ 0.00 ratingsShoppingFreeData updated 2026-09-06

Ranked alternatives

Showing 541–560 of 1,000 ranked alternatives.

  1. MyKasih app icon

    MyKasih

    DIV SERVICES SDN. BHD.

    ★ 5.01 ratingsShoppingFreeData updated 2026-09-06
  2. Otlob app icon

    Otlob

    Stronix Technologies Inc

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06
  3. Legit Check AI app icon

    Legit Check AI

    Tahayuun Nikmah

    Verify product authenticity with AI

    Verify product authenticity by analyzing logos, materials, stitching, serial details, packaging, and overall consistency. Upload photos or scan barcodes for instant AI-generated verification results.

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  4. Digit-Eyes app icon

    Digit-Eyes

    Digital Miracles, L.L.C.

    Scan codes, hear product names.

    The app scans UPC/EAN codes to identify over 37 million products. It allows users to create and scan custom QR code labels containing text or audio recordings.

    ★ 2.79 ratingsShopping$9.99Data updated 2026-09-24
  5. HelloTigerSwap app icon

    HelloTigerSwap

    TigerSwap LLC

    Shop directly with Princeton students

    Browse listings from Princeton students using .edu email verification. Filter items by category and set alerts for desired products. Communicate with sellers via in- messaging without sharing personal contact information.

    ★ 5.09 ratingsShoppingFreeData updated 2026-09-06
  6. Flomax app icon

    Flomax

    GOb2b Limited

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  7. QR-Code Scan app icon

    QR-Code Scan

    Apps Places

    And generate codes and barcodes

    Codes and barcodes using the camera or from images in the photo library. Display results and provide options to save, share, or copy the data. Generate codes and barcodes for personal use.

    ★ 4.716 ratingsShoppingFreeData updated 2026-09-19

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.