Revise generated text and inspect AI classification signals

What is Semihuman.Ai?

Semihuman is a text rewriting and AI-content detection product associated with Samwell. The operator's official terms identify both websites, resolving the source list's Samwell-domain mismatch. Semihuman's API documentation describes text humanization, AI-generated text checks, and AI-generated video detection. Its product materials also mention multilingual use. For writing work, the relevant task is revising phrasing and examining the result, while recognizing that a detector's classification is not proof of who created a text.

Distinguish rewriting from classification

The documented text tools perform two different jobs: one rewrites supplied text, while another checks it for signs of AI generation. API access allows these capabilities to be incorporated into another application. The vendor's own refund policy acknowledges that rewritten output may remain detectable or be difficult to read, so universal invisibility claims should not guide an evaluation.

Judge the revised paragraph on meaning

Choose a passage you are authorized to edit and identify the actual problem, such as repetitive transitions or an unsuitable tone. Compare the revision sentence by sentence, preserving facts, quotations, and technical distinctions. Read the result in its full document context. If authorship disclosure is required by a workplace or publisher, keep that disclosure separate from any detector score.

Features to explore

• Text rewriting
• AI text checks
• Developer API
• Multilingual product support

Who is Semihuman.Ai for?

Relevant to writers revising generated drafts and developers evaluating text-processing functions for an editorial workflow. It is most useful when readability and meaning are the review criteria and a person remains responsible for the final text.

Before you get started

AI detectors can misclassify writing, and rewriting cannot establish authorship or originality. Preserve required disclosures, verify meaning after edits, and avoid using classification results as the sole basis for consequential judgments.