Hypic
Partial disclosure · High confidence
Dealbreaker flag
- Trains its machine learning models on user content by default, with no opt-out disclosed in the policy.
Names strong rights, transfer safeguards, and careful face-data handling, but it trains its models on your content by default with no opt-out and keeps retention vague.
What the policy says
Trains by default, no opt-out
The policy lists a purpose to train and improve our technology, such as our machine learning models and algorithms, on a legitimate-interests basis. No opt-out mechanism for model training appears anywhere in the document, which makes this an explicit adverse reservation rather than silence.
Strong face-data minimization
Images collected to provide face features are deleted promptly after the feature runs and are not retained. Hypic states it does not use face or body information to identify people and does not share that information with third parties.
Full rights with named transfer safeguards
The EEA section grants access, rectification, erasure, portability, objection, and consent withdrawal. It names adequacy decisions under Article 45 and standard contractual clauses under Article 46 as the transfer safeguards it relies on.
Vague retention, no global timeline
The main policy keeps information for as long as necessary and for as long as you have an account, with no global day-count. Concrete numbers appear only in country supplements such as Indonesia five years and the Korea statutory periods.
Details
- Category
- Image & video
- Modalities
- image
- Processes biometrics
- Yes
- Policy last updated
- 2026-01-22
- Region scored
- Global / US-default
- Assessed
- 2026-06-20
Every grade scores what an app discloses about its data governance in its public privacy policy and terms, not its verified behaviour. A strong policy can hide weak practice, and a thin policy can hide good practice.