AI Detector vs perplexity-only baselines
Naive statistical baselineA perplexity-only baseline is the simplest detector: ask a language model how surprised it is by the text and call low surprise "AI". It is cheap and often used as a starting point. AI Detector instead runs multiple zero-shot signals (likelihood, entropy, logrank, perplexity, DetectGPT, Fast-DetectGPT, Binoculars, DetectLLM) and fuses them into a verdict with an explicit uncertainty framing. A single baseline is a building block; a fused engine is a more robust estimator — still not a proof.
| Feature | AI Detector | Perplexity-only baselines |
|---|---|---|
| Signals | 8+ zero-shot signals fused | One perplexity / log-probability score |
| Robustness | Cross-checks detectors against each other | Fails on any predictable prose (forms, specs, boilerplate) |
| Failure mode | Reported as disagreement across detectors | A low-perplexity human text is flagged as AI |
| Uncertainty | Spread across detectors shown | Not expressed |
| Cost | Free daily quota; paid plans and per-usage API | Free to compute, but not a usable detector |
| Best for | A defensible, transparent detection signal | A quick heuristic that needs support |
More than one view
AI Detector
Fuses independent signals so a single anomaly is less likely to decide the outcome.
Perplexity-only baselines
One number, without corroboration.
Acknowledges its limits
AI Detector
Surfaces the spread and when evidence is too thin to judge.
Perplexity-only baselines
A single low number looks more definitive than it is.
The baseline is inside it
AI Detector
Perplexity is one of the eight signals, not the whole story.
Perplexity-only baselines
Perplexity alone is the whole story.
Which should you pick?
Choose AI Detector if
- You want a detection signal with multiple independent corroborations.
- You want an explicit uncertainty framing rather than a single confident number.
Choose Perplexity-only baselines if
- You need a cheap, fast heuristic for a rough triage pass.
- You are exploring the method before committing to a real detector.
- Even a fused multi-detector engine is a statistical estimate. It cannot certify authorship and can be fooled by editing or rewriting.
- A perplexity-only baseline is a heuristic, not a detector. Treat it as a starting point, never as evidence.
Try it free
Paste text and get a fused verdict with a per-detector breakdown. No content retention.