Comparison · authorship · AI detection
An AI detector asks how the text was made. Kaneme asks whose voice survived.
Both may return a probability. That doesn’t make the probabilities interchangeable. Start with the evidence each tool sees.
Three questions that should stay separate
Universal detector
Was this produced by a machine?
A broad inference made without knowing the author.
Kaneme · your voice
Does it carry your voice rather than a generic AI voice?
Compared with texts generated from the target writer’s material. Published separation index: 0,989.
Kaneme · another person
Was it written by you rather than another person?
The harder comparison between human writers. Published separation index: 0,908.
Reliability needs a named opponent.
“Accurate” means little until you say what the system had to tell apart. Kaneme publishes human-versus-human and voice-versus-AI results separately.
The benchmark holds authors back before tuning, tests real writing, and is rerun on the engine users actually receive. Read the corpus, protocol and failure modes on the method page.
What actually differs
| Criterion | AI detector | Kaneme verdict | Local pattern review |
|---|---|---|---|
| Input | The text alone | The text plus the owner’s own writing | One text, reviewed locally |
| Output | Usually an AI probability | A comparison probability or a clear explanation that Kaneme cannot decide | Visible writing patterns, with no stamp |
| Origin | Inferred from the text | Reported by the product when known; never guessed | Outside scope |
| Best use | Policy, moderation, volume filtering | Measuring and showing similarity to your writing voice | Revising generic passages before publication |
Put the limit next to the number.
A probability isn’t proof
Don’t turn a probabilistic signal into an accusation.
Short writing weakens the signal
A high match may still help. A low match on a short text is an absence of evidence.
English and French are validated separately
Each language has its own measured engine. Changing the interface language does not change the language of a voice.
Frequently asked questions
Is Kaneme an AI detector?+
No. A detector looks at a text and guesses how it was produced. Kaneme starts with writing supplied by its owner, then asks whether an English or French candidate carries that same voice.
Can the result prove misconduct?+
No. Treat a probability as evidence to review, never as an accusation. Kaneme also needs the voice owner’s reference writing, which limits who can run the comparison.
Why does Kaneme sometimes return no number?+
Because guessing would be worse. The engine abstains when the language or register falls outside its validated ground, the candidate overlaps the reference, or a required layer is unavailable.
When should I use an AI detector?+
Use one for policy, high-volume moderation, or an initial filter when you have no author reference. Keep a person in the loop: its reliability for one particular writer is usually unknown.