WriteHuman vs Undetected AI comes down to requests or words

Take a 1,500-word article. On Undetected.ai, that is 1,500 words out of your pool in a single run, which is our per-run ceiling. On WriteHuman's Basic plan, the 600-word request cap means splitting the article into three chunks, spending three of your 80 monthly requests, and stitching the output back together while hoping the tone stays consistent across the seams.

On raw capacity, WriteHuman's Basic plan is generous: 80 requests times 600 words is 48,000 words a month for $12 billed yearly, half the price of our Starter for about half its 100,000 words. The catch is the shape of the meter. Short social posts and product blurbs fit a request beautifully. Long-form does not, and stitched seams are where humanized text tends to wobble.

WriteHuman shows a detection score from its own built-in detector alongside each rewrite, which is genuinely useful feedback. Undetected.ai also scores with its own measure, and the difference is that ours lists what earned the number. Neither tool speaks for the external detectors: GPTZero, Turnitin, Originality.ai, Copyleaks, and ZeroGPT.

The distinction matters because detectors disagree with each other. A score from one in-house detector tells you how that detector sees your text; a score that names what it counted lets you check the reasoning against the text yourself.

WriteHuman earns its reputation. The interface is one of the cleanest in the category, third-party tests regularly praise its output readability, and it ships developer-friendly extras like an MCP server that agent-based writing workflows can call directly, something few competitors offer.

If your work is short-form, if you want a free taste before paying (3 requests a month), or if you are wiring a humanizer into an AI agent pipeline today, WriteHuman is a strong choice. The comparison tips toward Undetected.ai when your drafts run long or your monthly volume makes a flat 1,000,000-word pool the safer budget.