Identify Bugs - Insective app icon

Apps Like Identify Bugs - Insective for iPhone and iPad

Insects with a photo

Insects, spiders, and creepy crawlies by snapping photos. Use AI to get instant species recognition. Learn basic facts about each identified creature. Share results via social media or email.

by Gareth Harte★ 4.86 ratingsEducationFreeData updated 2026-09-06

Ranked alternatives

Showing 841–860 of 1,000 ranked alternatives.

  1. World Map Free app icon

    World Map Free

    公章 主浜

    Learn country locations and names interactively.

    The app allows users to learn country locations and names through interactive modes. Users can explore countries, identify them on a map, and test their knowledge with quizzes.

    ★ 1.01 ratingsEducationFreeData updated 2026-09-17
  1. Ora - Brevijar i Biblija app icon

    Ora - Brevijar i Biblija

    Antonio Ronta

    Pray daily readings and Bible passages

    Pray the Liturgy of the Hours with full offline access to Morning Prayer, Office of Readings, Daytime Prayer, Evening Prayer, and Night Prayer. Access the full Bible in Croatian offline. Set prayer schedules and track progress.

    ★ 0.00 ratingsBookFreeData updated 2026-09-06
  2. PlantFocus: Plant Identifier app icon

    PlantFocus: Plant Identifier

    Maxbase10 OU

    Identify plants and get care tips

    Take a photo of a to identify its species, care needs, and environmental requirements. View detailed care instructions, watering schedules, and light preferences. Save and organize entries with notes and reminders.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
  3. Fungi app icon

    Fungi

    de Bernard Simon

    Identify mushrooms with detailed descriptions.

    The app helps identify mushrooms using a system based on various physical and ecological characteristics. It provides access to Wikipedia pages for over 1200 species, including images and scientific classifications.

    ★ 0.00 ratingsReference$8.99Data updated 2026-09-12

How we rank alternatives

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