FaceScanner Who do I look like

Face detection: A consistent complaint

Before even getting to a celebrity match, many users run into the core hurdle of the FaceScanner app. The primary function relies on the AI detecting a face, but a significant portion of user reviews describe the app failing at this very first step, returning "no celeb found" errors or simply not identifying the face in the photo [citation:1][citation:8]. For a photography app built around facial recognition, this initial failure rate is a core operational weakness that turns what should be a fun discovery into a frustrating dead-end for many, rendering the rest of the features inaccessible.

The workflow of a face scan

When the scanner works as intended, the workflow is straightforward. A user either snaps a new photo or uploads one from the gallery. For better results, the app suggests using photos with a clearly visible face and good lighting [citation:9]. The face detector then scans the image, collecting metadata on key facial features like the eyes, nose, mouth, and eyebrows. This data is then compared against the cloud-based database of over 1,000 actors, musicians, and athletes to find the best visual match, with the result presented as a percentage. From start to finish, a successful scan provides a quick, shareable result.

The app also serves as an "aging camera" and "beauty analyzer," providing additional outputs from the same facial scan data. It can estimate your age and assign a beauty score based on facial proportions. These features are all part of the same process, but their accuracy is a frequent point of contention. Users who find the celebrity match amusing often report the age or beauty scores feel inaccurate or random.

Who is the developer behind this?

The app is developed by an individual named Tymofii Kriuchkov, operating under the name Tikamori, with a registered address in Dnipro, Ukraine [citation:3][citation:15]. This is a small, independent developer, which is typical for many "face swap" and "celebrity look-alike" apps in this crowded category [citation:6]. The development seems to be a one-person or very small team effort, which helps to explain the app's specific focus. The developer also has other apps on the Play Store, including a shopping list app, indicating they are creating a small portfolio of simple utility and novelty tools [citation:4]. This independent background is an important context for understanding the app's overall behavior and feature set.

How features align with developer updates

The changelog for version 17.5 lists "Improved Face Scanner AI performance" and "Enhanced Celebrity Look-Alike comparison" [citation:12]. In practice, improvements might refer to faster scan times or fewer "face not found" errors, but a large portion of recent reviews suggest the core issue of inaccurate matches and frequent detection failures remains unresolved. For users, this creates a situation where the primary feature, advertised as the app's core function, continues to be inconsistent, which has a direct effect on how often they might open the app again. If a user cannot reliably get a fun result, the app loses its primary value.

The ability to crop the image before scanning, a feature added in a previous update [citation:3][citation:12], is one of the more functional enhancements. It allows users to manually adjust the frame to focus on the face, which might help reduce detection errors, even if it hasn't solved the problem for everyone.

Data sharing and privacy

The developer's data safety section on Google Play states that photos and videos are shared with third parties, and more critically, that data cannot be deleted [citation:9][citation:13]. This is a significant privacy consideration, especially for an app that asks users to upload photos of their faces. Even if the developers state that photos are not stored, the inability for users to delete their data after use is a major concern. This is a hard limitation that remains regardless of any user complaint or feature update, and it changes how one might evaluate the risks of using the app.