Hive AI Detector: read the signal
behind the writing.
Paste any passage into this free Hive AI checker and get an AI-probability reading plus a best guess at the generative engine behind it — cross-checked against fingerprints from several models at once, not tuned to just one.
3+Multi-model coverage
Checked against writing patterns from GPT, Claude, Gemini, and other major engines — not tuned to just one.
1:1Sentence-level readout
See exactly which lines drove the score, not one number with nothing to explain it.
◐Engine identification
Beyond a yes/no verdict — the same moderation-grade logic used to flag which generative model likely wrote it.
Hive AI Detector vs. a standard AI checker.
A single score tells you almost nothing about what to do next. Here’s what a fuller reading from Hive AI Detector adds.
What makes this AI content detector different.
Cross-model detection
Checks writing against patterns from several generative engines in the same pass, instead of tuning to one model’s fingerprint alone.
“Flags GPT-style hedging and Claude-style structuring together.”
Sentence-level scoring
See which specific sentences drove the score up, with the pattern that triggered each flag.
“Sentence 4 flagged for uniform clause length — a common AI tell.”
Likely-engine identification (Hive moderation AI detector logic)
A best guess at which model — GPT, Claude, Gemini, or another — most likely produced the flagged text.
“Likely engine: GPT, based on phrasing patterns.”
Reads full-length essays
Scans anything from a single paragraph to a full essay in one pass, with the score getting more stable as the sample gets longer.
“No character cap that forces you to split a document into chunks.”
No account required
Paste and scan immediately. An account only matters if you want to save and export past reports.
“Zero friction for a one-off check before you submit something.”
Private by default
Submitted text is used only to generate your reading — it isn’t linked to your identity or stored publicly.
“Check a draft without worrying where it ends up.”
Who uses an AI content detector like this.
Verify before you escalate
Run a scan on a submission that reads oddly before raising it as an academic integrity concern — the engine badge gives you something concrete to point to.
Screen at the source
Check incoming articles, reviews, or submissions for AI involvement before they go live, without slowing your publishing pipeline.
Check your own work first
See how your writing reads before you submit it anywhere that runs its own AI check — and which parts score most “AI-like.”
How Hive AI Detector works, step by step.
Drop in your text
Anything from a paragraph to a full essay works in the scan box above.
Run the reading
The model checks your text against patterns from multiple generative engines.
Get your score
An AI-probability percentage plus a best guess at the likely engine behind it.
Open the full report
Sentence-by-sentence breakdown for documentation or a closer look.
Hive AI Detector: frequently asked questions
What Is Hive AI Detector and How Does It Work?
Hive AI Detector is a free tool that scans written text and returns two things: a probability score for how likely the content was AI-generated, and a best guess at which generative engine produced it. That second part is what separates it from most single-purpose checkers, which stop at a plain percentage and leave you to figure out the rest.
The approach mirrors how modern content-moderation systems are built — less like a single lock, more like a instrument that recognizes a range of known signatures rather than just one. Instead of tuning entirely to one model’s writing fingerprint, the detector checks text against patterns associated with several major generative engines, which helps reduce blind spots as new models are released.
Why a Single Score Isn’t Always Enough
A flat “72% AI” result tells you very little about what to do next. Is that number driven by one obviously robotic paragraph, or spread evenly across an otherwise human-sounding piece? Sentence-level scoring answers that question directly, showing which parts of the text triggered the flag and why — repeated sentence structure, unusually even pacing, or word choices common in AI-generated prose. For a closer look at what drives detection accuracy in general, see how accurate AI detectors really are.
If your score comes back moderate rather than extreme, check which specific sentences are flagged before assuming the whole document is affected. Partial AI involvement is common and reads differently than a fully generated piece.
How the Engine-Identification Feature Works
Different generative models leave different fingerprints. GPT-family models tend toward certain hedging phrases and list structures; Claude-family output often shows a distinct paragraph rhythm; Gemini output has its own tells. By comparing flagged text against a bank of these patterns, the detector can surface a likely-engine badge alongside the score — useful context if you’re trying to understand not just whether AI was involved, but how. See the full breakdown of which AI models Hive can identify.
What This Tool Doesn’t Do
It’s worth being direct about limits. No AI detector, including this one, can offer a legally binding or 100% certain verdict. Heavily edited or paraphrased AI text will score lower with confidence, and very short samples (under roughly 50 words) don’t give the model enough signal to be reliable. The tool is built to give you strong evidence to act on, not an infallible verdict.
- Best used on samples of 50+ words for a stable score
- Most reliable on unedited or lightly-edited AI output
- Complements, but doesn’t replace, a plagiarism check
- Engine identification is a best guess, not a certainty