Output
Free tool
TextClean
Paste any text and get it cleaned, inspected and scored — hidden characters, AI-style signals, personal data, readability, originality against your own sources, and deterministic rewrites. Everything runs in your browser; nothing is uploaded.
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Text trust snapshot
Paste text to begin
Scores are local heuristics, not proof of authorship or factual truth.
Working document
Source text
Live diagnostics
What changed
Important: AI authorship and model-family attribution from text alone are probabilistic heuristics. They can be wrong, especially after editing, translation, short text, or model updates. Treat these as signals, never proof.
AI-style analysis
—/100
Not enough text
Experimental fingerprint
Possible LLM family
Experimental stylistic fingerprint only — not model identification.
Authorship continuity
No analysis yet
Paragraph map
AI-style by segment
Artifact scanner
Prompt & AI residue
Stylometry
Compare with a known author sample
Originality
Local plagiarism comparison
Document comparison
Version A vs B
Citation audit
References & citation integrity
Claim inventory
Statements to fact-check
Offline mode can identify check-worthy claims, but cannot verify them against the web. Export the list for a fact-checking workflow.
Local provenance
File metadata
Writing quality
—/100
Paste text to analyze
Readability
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Privacy risk
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Sensitive content
PII & secret scanner
Style
Tone fingerprint
Quality signals
Clarity & repetition
Persuasion
Manipulation & loaded-language signals
Local transformations
Rewrite without an LLM
These modes use transparent deterministic edits. They improve hygiene and style, but do not pretend to be a full generative rewrite.
Preview
Natural cleanup
Transparent edits
What the rewrite changed
What it does
Five tools in one page
Clean
Strip zero-width and control characters, normalize smart quotes, dashes and Unicode look-alikes, remove markdown residue. See exactly what changed in a diff.
Detect
Heuristic AI-style scoring per paragraph, prompt/AI residue scanner, and stylometric comparison with a known writing sample. Signals, not proof.
Verify
Local plagiarism check against reference texts you supply, version A/B comparison, citation audit and a list of claims worth fact-checking.
Analyze
Readability and writing-quality scores, tone fingerprint, repetition and filler detection, PII & secret scanner (emails, phones, IBANs, API keys…).
Rewrite
Transparent, rule-based rewrites — natural, concise, professional, simplified or anonymized — with every edit listed. No LLM involved.
Private by design
No server, no account, no tracking of your text. Close the tab and it is gone. Export a JSON report if you want to keep the analysis.
Questions
Is my text sent anywhere?
No. The page is static and all processing happens in your browser with plain JavaScript. There is no API call, no analytics on the text, no storage other than your rule preferences in localStorage.
Can it prove a text was written by AI?
No tool can. The Detect tab reports stylistic signals commonly found in generated text (uniform sentence length, hedging phrases, prompt residue). Treat it as a hint to look closer, never as evidence.
What does the plagiarism check compare against?
Only the reference texts you paste or open on the Verify tab. It does not search the web. That keeps it private — and means it will not find sources you did not provide.
Why is the "rewrite" so conservative?
It is deliberately rule-based: filler removal, contraction handling, quote normalization, anonymization of names, emails and numbers. You can see every change, and it never invents content.
Can I use it on confidential documents?
Yes — that is the point. Nothing leaves your machine. For files, only text formats are read (txt, md, csv, json, html); PDF and DOCX are not parsed in this version.
Need this at scale, or with a real search index / LLM behind it?
That is what we build for clients: document pipelines, RAG assistants over your own knowledge base, PII redaction at volume. Talk to us.
Need the production version?
Web-scale originality search, real fact-checking, PDF/DOCX parsing and LLM-powered rewriting need servers and models. We build those — on your data, under your control.