similar faces

Name: similar faces
Rating: 4.2 (341 reviews)
Author: Anh Nguyen

By: Anh Nguyen App

similar faces

Overview

Version:

1.8.4

Last updated: 2025-02-28

Ranking

#88,001 ▼ 3

Overall

Features & Capabilities

Similar Faces is a Chrome extension that measures how alike faces are in a photo. It offers three modes: 1 pair to find the best match, 2 pairs to identify two top matches, and 1 vs all to compare a selected face against the rest by tapping a face. The viewer supports zooming and panning and lets you share the result image to social networks.

All processing happens offline on your device. No face data or photos ever leaves your device, and data is stored locally with an option to delete at any time, ensuring privacy and control.

User Growth & Download Statistics

App AI Privacy & Security Photography Data

By:

Anh Nguyen

Rating:

4.20

(341) 1 new ratings

Version:

1.8.4 Last updated: 2025-02-28

Version code:

872861093

Creation date:

2020-07-30

Compatible devices:

Size:

760.86MB

URLs:

Full description:

Source:

Apple Apps Store

Data ingested on:

2026-08-19

Compare stats and ranking:

Ranking

# 88,001 ▼ 3

For Developers

Monetize with App Pass Boost with Extension Booster

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.

Developed by:

Anh Nguyen

Apple Apps Store

https://apps.apple.com/us/app/similar-faces/id1523619974

User Reviews

Reviews show the app is a fun, quick way to compare faces and get similarity percentages. Most praise the play value and basic function, but multiple reviews report inconsistent, inaccurate results and occasional failures to identify. Overall sentiment is positive when it works, but reliability remains a recurring concern.

Pros

Fun and entertaining face comparison tool.
Provides similarity percentages between faces.
Generally positive performance when it works (works great/excellent/awesome).
Simple, quick casual use for light exploration.

Cons

Inaccurate or unreliable results; misidentifications and unexpected percentages.
Occasional non-functionality or failure to identify even with similar photos.
Results can vary across tests, leading to inconsistent conclusions.