Aithor Launches Humanizer API for AI-Generated Marketing Copy

Aithor’s new Humanizer API gives content teams a way to rewrite AI-generated text at scale, but its detector-evasion framing raises awkward questions about provenance and disclosure.

Aithor, an Estonia-based AI writing company, has launched a Humanizer API aimed at businesses producing large volumes of AI-assisted text. The API lets teams connect Aithor’s text-rewriting system to their own tools, rather than using the company’s web app manually.

Aithor is pitching the API at SEO teams, content marketers, copywriters, publishers, agencies and newsletter operations. Its own product page lists uses including product pages, websites, blogs, newsletters and feeds, with model customization for brand voice and writing style.

The company says the API is designed to make AI-generated drafts read less like raw machine output. In practical terms, that means rewriting generated text to vary phrasing, rhythm and tone before it is published or passed into another workflow. The API documentation says requests can contain between 10 and 4,000 words, with longer text truncated and returned separately. Usage is billed through credits based on word count.

For media companies, the clearest near-term use is not production or post-production, but high-volume written material around content: synopses, marketing copy, channel descriptions, newsletters, web pages, metadata-adjacent blurbs and other routine text that can pile up around distribution and promotion.

There is also a caveat. Aithor’s broader Humanizer product is marketed not only as a way to improve tone, but as a way to make AI-generated text appear human-written and pass AI detectors. That makes the new API part of a more awkward trend: tools designed to industrialize AI-assisted copy while also blurring the provenance of that copy. For publishers, studios, streamers and agencies, the question is not only whether the output reads better. It is whether teams have clear rules about when AI-written or AI-rewritten text is acceptable, how it is reviewed, and whether its use needs to be disclosed internally.