Bird Feather Identification app icon

Apps Like Bird Feather Identification for iPhone and iPad

by Bart Jacobs★ 3.33 ratingsReferenceFreeData updated 2026-09-06

Ranked alternatives

Showing 421–440 of 1,000 ranked alternatives.

  1. FrogID app icon

    FrogID

    The Trustee for Australian Museum Trust

    ★ 3.618 ratingsEducationFreeData updated 2026-09-11
  2. Birds of Britain Pocket Guide app icon

    Birds of Britain Pocket Guide

    Spiny Software Ltd

    British birds identified, recorded, and learned.

    The app provides detailed information for over 200 British birds, including photos, songs, and distribution maps. It features a photo-based Bird Finder to identify mystery birds and allows users to record sightings with location data.

    ★ 5.01 ratingsReference$2.99Data updated 2026-09-17
  1. BirdTrack app icon

    BirdTrack

    British Trust for Ornithology

    Record bird sightings, support research.

    The app allows users to record bird sightings and other wildlife. Users can view past sightings, see community observations, and manage personal lists.

    ★ 4.03 ratingsReferenceFreeData updated 2026-10-09
  2. Fish Identifier - Fish Verify app icon

    Fish Identifier - Fish Verify

    Guangzhou Zhumeng Information Technology Co., Ltd.

    Identify with photo or scan

    Identify species by taking a photo or scanning a . Receive accurate details about the species instantly. Access information on habitat, size, and behavior. Share identification results with others.

    ★ 4.321 ratingsReferenceFreeData updated 2026-09-06
  3. All Birds Germany app icon

    All Birds Germany

    Sunbird Images OHG

    Detailed bird information for Germany.

    The app provides information on 514 bird species recorded in Germany, including population size, abundance, and migration status. It features distribution maps, high-definition photos, and bird songs, with search modes and bird names in 19 languages.

    ★ 1.01 ratingsReference$17.99Data updated 2026-10-24

How we rank alternatives

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