VIS/NIR AI™ Scan app icon

Apps Like VIS/NIR AI™ Scan for iPhone and iPad

by STRATIO INC★ 4.76 ratingsReferenceFreeData updated 2026-09-11

VIS/NIR AI™ Scan screenshots

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. TCG Radar - Card Scanner app icon

    TCG Radar - Card Scanner

    VAST FLOW, TOO

    Scan cards and get real-time value insights

    Scan trading cards using advanced image recognition to identify them instantly. View real-time market values and track price changes. Supports multiple collectible games and thousands of cards across various sets.

    ★ 5.01 ratingsReferenceFreeData updated 2026-09-06
  2. ETE REMAN app icon

    ETE REMAN

    Engine & Transmission Exchange Inc

    ★ 5.010 ratingsReferenceFreeData updated 2026-09-06
  1. Libraries Hawaii app icon

    Libraries Hawaii

    Chilifresh Enterprises, Inc.

    Search library catalog and manage account

    The app allows users to search the library catalog, place holds, and manage their accounts. Users can also scan item barcodes to check availability and find library events and hours.

    ★ 1.914 ratingsBookFreeData updated 2026-10-21
  2. Stamp identifier - StampSnap app icon

    Stamp identifier - StampSnap

    Patrick van der Ploeg

    Scan stamps, identify details, learn history

    Identify stamps using camera or photo library. Access country of origin, year of issue, and other details. Organize collections with search and categorization tools. Share information via social media or email.

    ★ 4.418 ratingsEducationFreeData updated 2026-09-06
  3. Comic Book Scanner - InkVault app icon

    Comic Book Scanner - InkVault

    Bouazza El Amri

    Scan covers and get instant analysis

    Scan covers to receive AI-generated details including series name, publisher, publication year, genre, and more. Get accurate price estimates based on current market data. Share results via email or social media.

    ★ 0.00 ratingsReferenceFreeData updated 2026-09-06

How we rank alternatives

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