AI Porn Generators Average Just 3.3/10 on Data Retention

As of 2026-09-16, across the 23 platforms we track in AI Porn Image Generators, the average data retention score is 3.3 out of 10, with individual scores ranging from a low of 1 to a high of 8.5. Of the 23 platforms, 13 were scored using declared method (based on the platform's own privacy documents), 3 using observed method (verified in use, with evidence), and 7 using inferred method (where no usable policy text could be found or read). The pattern that emerges is one of thin, generic language rather than concrete commitments: most platforms state a principle without a duration, a deletion process, or an opt-out, leaving users to take retention practices largely on faith.

Declared policies dominate but rarely specify a duration

Thirteen of the 23 platforms were scored from declared documents, and the spread among them is wide. NovelAI stands well above the rest at 8.5, with its privacy policy stating that prompts sent for generation are processed but not stored, that only an encrypted image cache is held for up to one hour, and that explicit legal bases exist per data type. Most other declared platforms cluster in the middle. PornJoy AI scores 5.5, with a policy stating personal data is retained "only as long as necessary" without specifying a duration, and no explicit opt-out for training or analytics use. My Dreams Studio, PornX, Seduced, and spicy.porn all score 5.0, each citing storage-limitation language such as "no longer than required by the intended purpose" or generic GDPR wording, but none stating a concrete retention period or a training opt-out. Lower still, Sexy AI scores 4.0 after disclosing data sharing with payment processors and marketing providers without a retention duration. At the bottom of the declared group, Hotgens scores 3.0 despite a footer claim of "we do not save any data" that contradicts its own collection of email and cookie information, and Mage and Unstability.ai each score 2.0, with Mage's terms granting a perpetual license for training use and Unstability.ai stating that data is retained indefinitely for marketing purposes with no opt-out.

Observed verification is rare and does not necessarily confirm favorable practice

Only 3 of the 23 platforms were scored using the observed method, meaning evidence of actual practice was found rather than policy text alone. Sink In scores 4.0, where a dedicated "HOW LONG DO WE KEEP YOUR INFORMATION" section exists in the privacy notice but the retrievable text cuts off before stating any concrete duration or deletion process. CreatePorn.com scores 3.5, where a privacy policy page is confirmed to exist and is linked in the footer, yet the extracted content contains no retention duration, deletion process, or training opt-out. AI-DreamGirls.com scores 3.0, with a policy that lists broad data uses including marketing, third-party offers, and diagnostics, but states no retention period, deletion process, or opt-out beyond unsubscribing from email. The scarcity of observed scores matters for readers: even where a platform's privacy page can be independently confirmed to exist, verification stops well short of confirming that stated commitments are honored in practice. Declared and observed scores in this sample sit close together at the low-to-middle range, which suggests that the gap between what a policy claims and what can actually be checked is often narrower than the difference between a strong policy and a weak one. For most platforms in this category, a privacy policy's presence is a starting point for scrutiny, not a substitute for it.

Inferred scores show that a meaningful share have no usable retention policy at all

Seven of the 23 platforms were scored using the inferred method, generally because a claimed privacy policy page returned blank, generic, or navigation-only content, or because no policy could be located at all. CreateAIMilf.com scores 3.0 despite a privacy policy page existing, because its extracted text is blank, leaving no stated retention duration or training opt-out. PixAI scores 2.5, where only a generic Privacy Policy title page was found. AliveAI.app and CreateAIBBW.com both score 2.0: AliveAI.app's excerpt from its privacy URL contains no retention duration or deletion process, while CreateAIBBW.com's privacy page returned only site navigation content. AI-Hentai's declared policy scores 2.0, admitting that ad networks "may log other things we are not fully aware of" with no retention duration stated. At the floor of the scale, AI-PORN.AI, Lovescape, and Nolo each score 1.0. AI-PORN.AI has no privacy policy found on the site at all; Lovescape's privacy page offers only a title with no retention or deletion detail; and Nolo has no privacy policy located, leaving retention, deletion rights, and training-data use for submitted prompts entirely unstated. These inferred scores account for 7 of the 23 platforms in this category, a meaningful share for which the absence of a usable policy is itself the finding.

What to check before paying

The data retention axis measures whether a platform states, and ideally demonstrates, how long user data and generated content are kept, whether deletion can be requested, and whether users can opt out of having their data reused for training or marketing. With an average of 3.3 out of 10 across the category, and only 3 platforms scored on observed evidence rather than declared text or inference, the spread signals that most platforms have not published retention terms specific enough to check against practice. Before paying for access to any platform in this category, readers should:

• Look for a stated retention duration, not just a general principle such as "as long as necessary"
• Check whether a deletion-on-request process is described and how to invoke it
• Look for an explicit opt-out from having prompts or generated images used for model training or marketing
• Note whether the privacy policy addresses payment and verification data separately from generated content
• Treat the absence of a locatable privacy policy, as with AI-PORN.AI and Nolo, as a signal in itself

Because 13 of these 23 scores rest on declared text rather than independently observed practice, and 7 rest on inference from missing or empty pages, this dataset should be read as a record of what platforms disclose and what could be located, not a guarantee of what happens to user data after submission.