Privacy Policy
All information is processed locally, all information is only stored on the local user device, and information will be deleted when the user actively deletes it, so the App does not collect any facial data.
This privacy policy outlines the data handling workflows and user information protection rules followed by Fitmeo across all core virtual outfit preview functions. Fitmeo supports full application access without mandatory user account creation, and no identity verification steps are required for users to access every built-in clothing preset and image blending module within the application. All operational behaviors related to user uploaded visual materials run independently on end-user hardware without external network linkage triggers.
Every piece of user uploaded portrait imagery and all intermediate visual files generated during outfit preview undergo exclusive local processing with no outbound data transmission of any kind. All user visual materials including portrait photos and blended try-on renders are only retained within the internal storage of the user’s active device at all times. When a user initiates manual deletion of any uploaded portrait or generated try-on record via the in-app deletion tool, the corresponding file fragments and temporary cache data are permanently erased from local device storage with no residual backup copies created anywhere. Fitmeo does not collect any user facial information at any stage of function use, and no facial feature extraction or temporary facial data logging occurs within local processing pipelines.
Fitmeo’s primary core capability relies on local ai dual-image blending to overlay built-in clothing preset visuals onto user uploaded portrait files. All algorithmic calculation for posture matching, clothing edge fitting and color tone alignment is completed through on-device local ai computing frameworks that never transfer pixel-level portrait details outside the user device. Throughout this local ai blending workflow, the application does not capture, parse or retain distinct user facial information. Facial areas within uploaded portraits are only used for instantaneous on-screen visual rendering during preview and are not marked, categorized or stored separately from the overall portrait file.
All user generated try-on visualization results and original uploaded portraits are stored in encrypted local sandbox folders specific to the Fitmeo application on the user device. The sandbox structure prevents cross-application access to user visual materials by other software installed on the same device. Automatic temporary cache files created to support local ai fast rendering are scheduled for immediate removal once the user closes the outfit preview interface. No cached facial data is retained in temporary memory after interface closure, confirming continued non-collection of user facial information across cache lifecycle operations.
Users retain full unilateral control over all locally stored visual content linked to their in-app activity. Users can batch clear all portrait uploads, try-on renders and algorithm cache through the in-app storage reset function. Following batch clearance, no traceable facial or portrait fragments remain on the device. Fitmeo maintains zero ability to access or retrieve any local user files remotely under any operational scenario.
All clothing visuals available for user selection within the Fitmeo wardrobe module are static preset image files packaged directly into the initial application installation package. These preset resources reside permanently in local application installation directories and do not require real-time network downloads or remote resource synchronization. Interaction between user portraits and clothing presets only happens via local pixel-level overlay with no third-party resource intervention. No facial information is referenced or analyzed to match clothing preset layouts during overlay operations, further verifying no collection of user facial information.
Fitmeo delivers one hundred percent of virtual try-on and record storage functionality in permanent offline mode. The application does not request network access permissions on user devices for core outfit preview features. Any optional auxiliary network requests such as internal application version checking run through isolated one-way read-only local network calls that carry no user visual, facial or device usage details. No facial metadata is embedded in any minimal auxiliary network request payload, and no facial information is processed outside local device boundaries at any point.
Users may submit inquiries related to local data processing, facial information handling rules and in-app storage operation guidance via dedicated email correspondence. The official contact email for all user support requests is carlwashingtonnn@icloud.com. All email replies address only local device-level function behaviors and will never reference external data handling processes. When responding to user questions, support personnel will reconfirm that Fitmeo never collects user facial information and all portrait processing remains confined to user local hardware.
Locally stored user visual files remain on the user device indefinitely until active user deletion or manual application uninstallation. Upon Fitmeo uninstallation, the device operating system automatically deletes all application sandbox content including portraits, try-on renders and local ai algorithm cache. Fitmeo does not embed hidden background data retention protocols that preserve facial or portrait data post uninstallation. At every stage from initial upload to final uninstallation, user facial information is never collected or duplicated outside user controlled local device storage.