Fish Identifier AI: FishSnap app icon

Apps Like Fish Identifier AI: FishSnap for iPhone and iPad

by Bahattin Duran★ 5.02 ratingsEducationFreeData updated 2026-09-06

Ranked alternatives

Showing 561–580 of 1,000 ranked alternatives.

  1. Bug Finder - Insect Identifier app icon

    Bug Finder - Insect Identifier

    RODIONS VANUSEVS

    Snap, upload, identify insects instantly

    Take a photo or upload an image to identify it using AI. Get detailed information about the species, including habitat, behavior, and potential risks. Learn about bite symptoms and pest control tips.

    ★ 5.08 ratingsEducationFreeData updated 2026-09-06
  1. Fishing Log & Journal - LogIT app icon

    Fishing Log & Journal - LogIT

    Gniechwitz & Walterbusch GbR

    Log trips, track catches, analyze stats

    Log trips with multiple daily entries and add notes, events, and favorites. Track successful and unsuccessful outings for accurate stats. Record species, length, weight, and gear used.

    ★ 4.717 ratingsReferenceFreeData updated 2026-09-06
  2. Identify Bugs - Bug Identifier app icon

    Identify Bugs - Bug Identifier

    Muhammet Talha VAROL

    Capture and , birds, and insects

    , birds, and insects by pointing the camera at them. Get instant species recognition with accurate results. View detailed information about each identified creature. Save and share identification records.

    ★ 5.01 ratingsEducationFreeData updated 2026-09-06
  3. Mikke Fish ID app icon

    Mikke Fish ID

    zukan.com Inc.

    Identify fish with AI and community.

    The app uses AI and a Q&A community to help identify fish from photos. Users can ask questions about fish names and receive answers from knowledgeable community members, with answer correctness determined by viewer votes.

    ★ 3.02 ratingsReferenceFreeData updated 2026-11-01
  4. Wekiwa app icon

    Wekiwa

    HATTER CREEK CONSULTING AND DEVELOPMENT, LLC

    ★ 4.19 ratingsEducationFreeData updated 2026-09-28

How we rank alternatives

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