Flower ID: Flower Identifier 4.2.0

Flower ID: Flower Identifier 4.2.0

Sviataslau Lobach – Freeware – iOS
out of 3 votes
Latest Version
4.2.0
Safe to install
EXCELLENT User Rating

The Plant Identification app offers a practical solution for accurate and efficient plant recognition. Users can simply capture or upload an image, and the app quickly delivers pertinent identification details. The results include the plant’s name, indications of edibility, recommended identification techniques, and additional relevant information.

This application serves a diverse audience, from botanists and mycologists to hobbyists, students, educators, parents interested in educational content, and culinary professionals seeking botanical insights. Its comprehensive approach makes it a valuable resource across various disciplines.

Key features include:

  • Rapid and precise identification of a wide range of plants
  • An extensive plant encyclopedia offering essential data such as scientific and common names, distribution, identification methods, and more
  • An intuitive, user-friendly interface designed to facilitate easy access to information and support learning processes

Overview

Flower ID: Flower Identifier is a Freeware software in the category Education developed by Sviataslau Lobach.

The latest version of Flower ID: Flower Identifier is 4.2.0, released on 05/26/2025. It was initially added to our database on 05/26/2025.

Flower ID: Flower Identifier runs on the following operating systems: iOS.

Users of Flower ID: Flower Identifier gave it a rating of 5 out of 5 stars.

Pros

  • User-friendly interface for easy flower identification.
  • Supports a wide range of flower species.
  • Provides visual identification with images for better accuracy.
  • Includes detailed descriptions and possibly additional information about flowers.
  • Accessible on mobile devices for on-the-go identification.

Cons

  • May require an internet connection for database access.
  • Accuracy depends on the quality of the uploaded photo.
  • Limited offline functionality if not supported.
  • Potentially limited to common flower species, not comprehensive for rare flowers.
  • Language support and regional limitations might affect usability.

FAQ

What is Flower ID: Flower Identifier by Sviataslau Lobach?

Flower ID: Flower Identifier by Sviataslau Lobach is an app designed to help users identify various flowers by analyzing photos they upload.

How does the Flower ID app identify flowers?

The app uses advanced image recognition technology to analyze uploaded photos and compare them to a database of flower images to provide an identification.

Is the Flower ID app free to use?

Yes, the basic features of the app are free, but some premium features may require a purchase or subscription.

What platforms is Flower ID available on?

The app is available on iOS and Android devices through their respective app stores.

Can I identify flowers from photos taken with my phone camera?

Yes, you can take a photo directly within the app or upload an existing photo from your device to identify the flower.

How accurate is the flower identification?

While highly effective, the accuracy depends on the quality of the photo and the flower's visibility. The app provides best results when the flower is clear and well-lit.

Does Flower ID work offline?

Some features may work offline, but for best results, an internet connection is recommended as it accesses online databases for identification.

Can I get more information about the identified flower?

Yes, after identification, the app provides additional details such as species information, care tips, and related flowers when available.

Is my uploaded photo data secure with Flower ID?

The app prioritizes user privacy; your photos are used solely for identification purposes and are not shared without your consent.

How do I update or improve flower identification accuracy?

Ensure your photos are clear, well-lit, and focused on the flower. Keep the app updated to access improvements in recognition algorithms.

Screenshots (Click to view larger)

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