The tool
What the Llama style analyzer does
Paste a draft and the Llama style analyzer describes how it reads: the register it sits in, how much sentence length varies, which constructions come back too often, where the tone changes between one paragraph and the next. What comes back is written findings in ordinary sentences.
It is not a scorecard. Most tools in this category answer with numbers, and the free tier of the best known one stops at 500 words and asks you to make an account first. This one answers in prose, up to 12,000 characters a run, because the useful reply to "how does this read" is a sentence rather than a grade.
The subject
What a Llama writing style analysis looks at
Style analysis is not about what a text says. It is about the mechanics underneath it: word choice and repetition, grammar patterns, sentence construction, punctuation habits. Stylometry research works on those same four families, lexical, grammatical, syntactic and punctuation patterns, because they survive a change of topic.
That is what the analyzer describes back to you. Where the same sentence opener keeps returning. Where every clause lands at roughly the same length. Where the punctuation settles into one rhythm and stays there. Published work on short samples found model prose tends toward greater grammatical standardisation than human prose, and standardisation is exactly what a reader registers as flat.
How it works
How to analyze Llama writing style in three steps
This is a server tool. Your text is sent to our AI server, analysed there and returned as written findings.
- Step 1
- Paste the text. Anything from a single character up to 12,000, which is roughly two thousand words. Outside that range the run is refused before it starts.
- Step 2
- Add an instruction if you have a target in mind. Up to 300 characters of plain English, for example: say whether this reads as a technical brief or a blog post.
- Step 3
- Read the findings and change one thing at a time. You get five runs per rolling 24 hours, so run it on the section you are working on rather than the whole file.
Sample size
How much text the Llama style analyzer needs
A two line paste produces thin findings, and that is not a fault in the tool. Style is a pattern, and a pattern needs repetitions before it is visible. One sentence has a length. Ten sentences have a distribution.
The stylometry study that separated Llama 2, Llama 3, GPT-3.5, GPT-4, Orca and Falcon from human writing did it on ten sentence samples. Ten sentences is a sensible floor here too. If a paragraph is all you have, run it, but read the answer as a description of that paragraph and nothing wider.
The output
Why the Llama style analyzer returns no score
There is no readability index here, no grade level, no percentage and no tone dial. The tools that print those compute them. This one does not compute them, so printing one would be a made up number.
The answer is capped at 1,400 tokens, which keeps it to a short report rather than a document, and it is generated at a low temperature so two runs on the same text agree with each other. It is still a reading of your text, not a measurement of it.
The honest answer
Can the Llama style analyzer prove Llama wrote it?
No. It describes the text in front of it and stops there. The instruction our server sends with every analysis says, in these words, never claim certainty about authorship, plagiarism, or which AI model wrote text.
That limit is real rather than modest. Features that separate one model's output from another's are tied to the corpus they were measured on, and they fall away when the same test is pointed at a different model. A style analysis can tell you a passage is uniform and heavily standardised. It cannot tell you whose hand, or which model, produced it.
Privacy
Where your text goes when you run this analyzer
Straight answer: this route sends your text to our AI server. Competing analyzers advertise browser only processing with nothing uploaded. That is true of our watermark and hidden character tools, which run locally in the page. It is not true of this one, because reading style needs a language model.
So do not paste anything you would not send to a service. No account is created and no email is asked for, and the five run allowance is counted against a hashed identifier rather than a profile, but the text itself is transmitted.
In practice
Who uses the Llama style analyzer, and when
Editors checking whether a draft assembled out of model output holds one voice across its sections. Students told their submission reads as machine written who want to know which sentences are causing that. Writers building a house style who need the habits of their own drafts named before they can decide which to keep.
The shape is the same in each case. You already suspect something about the prose and you want it pinned down before you start editing. The analyzer names the habit. What to do about it stays your call.