ScribeLens is an AI-writing detector at scribelensai.com. Paste or upload a document and it returns an overall verdict, a sentence-by-sentence breakdown, and an exportable report — built around showing the evidence behind a result, not just a number.
You paste text or upload a PDF, DOCX, TXT, or Markdown file — up to 40,000 words in a single scan, enough for a full essay or research paper in one pass. Every sentence is classified individually as human-like, mixed, or AI-like and highlighted in the document, underneath a graded overall verdict: likely human-written, mixed signals, a blend of human and AI writing, substantial AI involvement, or strong AI-like signal. The headline is always built to agree with the percentages printed beside it.
You can run a quick check with no account. Creating a free account raises your monthly limit to 35,000 words analysed, and includes PDF and DOCX report exports.
A bare percentage doesn't tell you what to do next. Sentences that get flagged carry reason keywords naming the specific pattern behind the flag — even sentence rhythm, a generic transition, formulaic structure — so a result is something you can actually inspect and act on, not just react to.
AI writing leaves measurable statistical patterns, and ScribeLens is built to detect and surface exactly those patterns, sentence by sentence. What a result can never be is proof: detection is probabilistic evidence for a person to weigh, not a verdict to hide behind in either direction.
Most AI detectors punish disciplined academic prose, for two concrete reasons we investigated and fixed. Reference lists are the most formulaic text in any paper by construction, and detectors that score them read that rigidity as machine-like — ScribeLens excludes reference lists, in-text citation apparatus, DOI/ISSN lines, copyright and licence text, and declaration sections (Author Contributions, Funding, Ethics statements, and similar back-matter) automatically before scoring. Formal register — consistent structure, measured transitions, even sentence rhythm — is also exactly what detectors are trained to flag, so ScribeLens weighs sentence-level evidence against document-level style signals rather than convicting a paper on register alone.
We built both fixes by testing against published, peer-reviewed journal articles during development and tracing every case where a genuine paper was misclassified back to its cause — that's what drove the exclusion rules and the sentence-weighting above, not a guess at what academic writing 'should' look like.
Excluded content is still shown in the report for transparency; it just never affects the verdict.
ScribeLens detects the statistical patterns AI writing leaves behind and shows you exactly where they appear, sentence by sentence, with the reason named for every flag. Because we can show that evidence, we don't need to lean on the inflated claims this category is known for — and we deliberately refuse them.
We publish no accuracy percentage: we state only what we have formally measured, and a number a vendor can't verify is marketing, not measurement. You get something stronger than a statistic — the flagged sentences themselves, which you can inspect and challenge. We report probability, never proof: that is what pattern detection honestly is, and a report you can defend in a difficult conversation is worth more than a verdict that collapses under the first question. We name patterns, not products: detection reads the statistical signature common to AI-generated text rather than any one tool's fingerprint — which is exactly why ScribeLens doesn't go stale each time a new model ships. And we do one job deeply: AI-writing detection, not plagiarism checking, so every part of the report serves that single purpose.
These are not hedges. They are the standards that make a ScribeLens report worth putting your name next to.
Students checking a draft before they submit it, educators reviewing student work, researchers and academics scanning full papers, and journal editors screening submissions with evidence they can share — that's who ScribeLens is built for.
It's also used by people who work with AI text professionally: LLM trainers and evaluators reviewing model output, prompt engineers and AI content reviewers checking how strongly a draft carries AI-style patterns, and technical writers auditing text before it ships. Sentence-level evidence with named reasons is exactly the granularity that kind of review needs — and the API supports it at volume for teams.
ScribeLens is built and operated by the ScribeLens team. For questions, feedback, or institutional access, reach us at support@scribelensai.com.
ScribeLens is built and operated by the ScribeLens team, reachable at support@scribelensai.com.
Sentence-level evidence: every sentence classified and highlighted, reason keywords naming the exact pattern behind each flag, and an exportable report anyone can read. You judge the result with the evidence in front of you.
No — we don't reduce detection to a single unverifiable percentage. Every verdict shows you which sentences were flagged, and the reason keyword behind each flag, so you can check the result against the text yourself in seconds, free, no signup.
No single detector can reliably fingerprint which specific AI model produced a passage — the patterns detection reads come from how these models generate language, and that mechanism is shared across all of them. ScribeLens targets exactly those shared patterns, which is also why it doesn't need retuning every time a new model ships.
Email support@scribelensai.com.
Paste or upload your writing and read the sentence-level evidence behind the result. Free, no signup required for a quick check.