Text—
AI Humanizer
AI humanizer — rewrite AI text to read human and bypass AI detection, billed per word.
This AI detector scores any text 0–100 for AI authorship and returns a per-engine breakdown. Send text, poll the task, and the AI detector tells you how likely the writing is machine-generated — over the same async /api/v1 contract you already use.
Under 30,000 words · at least ~200 words gives the most accurate score
Real workflows powered by this model.

Platforms that take user writing — essays, applications, reviews, forum posts — run each submission through the AI detector to flag machine-generated content before it lands. It returns a single 0–100 score plus a per-engine breakdown, so a moderation queue can sort by confidence and route only the borderline cases to a human. The async task contract means a pipeline calls the AI detector, gets a task_id, and moves on.
Score some text
When you pay for human writing, the AI detector confirms you got it. Paste the delivered copy and it reports how AI-like it reads, with sub-scores from multiple third-party engines so the verdict is not a single black box. Per-word billing keeps spot-checks cheap: the AI detector costs a fraction of the humanize rate, with a small 50-word floor for short samples.

Pair the AI detector with the humanizer to close the loop: rewrite a draft, then run the AI detector to confirm the score dropped before you publish. Because it aggregates several engines into one result, you get a more robust read than any single checker. Submit, poll, read the score — same task lifecycle as every reApi model.
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
| Category | Unit | Price |
|---|---|---|
| Per word | ||
| Any text | 1,000 words | $0.000089 1 credits |
It aggregates several third-party detection engines into a single 0–100 score and exposes each engine sub-score alongside it. One request to /api/v1/detect, one task_id, one result that is harder to game than any single checker — no need to fan out to multiple vendors and reconcile their answers yourself.
1 credit equals $0.001 USD. The AI detector bills per word at one-tenth the humanize rate with a 50-word floor, so screening costs scale with the text you check — no seat fees, no monthly minimum. Failed requests are refunded automatically; you only pay for scores that come back.
Submit text, get a task_id, poll until done — usually a few seconds. The AI detector fits the same task plumbing as every other reApi model, so a moderation or QA service drops it in without new infrastructure. One JSON shape, one Bearer key, one credit ledger.
Why call this AI detector instead of wiring up one detection vendor directly? It comes down to coverage, billing, and how much integration you own.
Comparison reflects publicly documented behavior at the time of writing. Detection accuracy varies by text and engine and changes over time.
Sign up at reApi and grab a key. Free signup credits cover plenty of words through the AI detector — enough to validate the scores against text you already know the origin of.
OpenPOST to /api/v1/detect with model: ai-text-detector and your text. The AI detector returns a task_id immediately so your handler is free to move on.
OpenGET /api/v1/tasks/:id until status is completed. The response carries detection — the 0–100 AI-likelihood plus the per-engine sub-scores.
OpenCommon questions about this model.
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curl -X POST https://reapi.ai/api/v1/detect \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "ai-text-detector",
"text": "Paste the text you want to check for AI authorship here. At least 200 words gives the most accurate score."
}'Try it in the playground or grab an API key to integrate now.