TextSight bundles a Plagiarism Risk score and full AI detection into a single scan, so you can spot the soft plagiarism patterns (clichéd phrasings, stock textbook definitions, uncited specifics) and the AI-style cadence in the same pass. It is honestly not a database-comparison tool: we do not crawl academic indexes the way Turnitin and iThenticate do, and we will not pretend otherwise. What we give you is a fast style triage with sentence-level evidence for every flag, so you know exactly which line to rewrite, which claim needs a citation, and which sentence is just filler you should cut.
Most writers think plagiarism is one problem. It is really two, and they need different tools. Here is what TextSight covers and what it deliberately does not.
The scan returns three numbers in the same pass. The Plagiarism Risk score looks at stylistic patterns that suggest copying: clichéd or stock phrasings, generic textbook-style definitions that appear identically across many sources, and specific claims such as statistics, dates, or named studies presented without a citation. The AI score reads the statistical fingerprint of the prose for ChatGPT, Claude, Gemini, and Llama patterns. The sentence evidence highlights every flagged passage with a one-line reason next to it, so you do not have to guess which line triggered the score.
We do not crawl a web index or an academic database, so we cannot confirm that a sentence was copied from a specific source URL or a specific paper. For database-backed matching against academic sources, the right tool is Turnitin, iThenticate, or Copyleaks. Treat TextSight as the continuous style triage that runs throughout your drafting and treat a database tool as the final gate before you submit. That two-tool stack is the honest setup and it is cheaper than buying a heavyweight database subscription you only need once.
A clean Turnitin report can still leave you exposed to AI-content concerns. A clean AI score can still leave you exposed to lifted source paragraphs. Running both checks separately means tab-switching and double-paying. The TextSight scan combines the Plagiarism Risk score with the AI score and the Authenticity Score in one click, so you see the same draft scored against three lenses without leaving the page.
The workflow is short on purpose. Most drafts clear in two passes. The point is to make the loop between scanning and revising fast enough that you actually use it before submission instead of skipping it.
Open the scanner and paste up to 5,000 characters on the free tier, around 800 words, which covers most essay sections and most blog drafts. Pro and Business raise the per-scan limit and accept PDF or DOCX upload. No signup is required for the first scan; the free tier resets at midnight UTC and gives you three scans every day with no card on file.
The result panel shows the Plagiarism Risk score, the AI score, and the Authenticity Score side by side. Low Plagiarism Risk plus low AI score is the clean submission zone. High Plagiarism Risk with a low AI score usually means you have clichéd phrasings or uncited specifics to clean. High AI score with low Plagiarism Risk usually means the prose reads as machine-generated even though the content is original. Both being high is the patchwriting plus AI-assist combination that institutions penalise the hardest.
Click into any flagged sentence to see the reason: stock phrasing, stock definition, uncited specific, or AI-style cadence. The highlight tells you what the matcher saw, not just that it saw something. This is the difference between a score that gives you a number and a score that gives you a fix. You always know which line to work on and why.
For each flagged passage you have three choices: add a citation if the claim is genuinely from a source, rewrite the sentence in your own words, or cut filler entirely (clichéd transitions, generic definitions). Re-scan to confirm the flag clears and the score drops into the safe band. Most drafts only need one revision pass; a heavily AI-assisted draft may need two.
Free includes 3 scans a day with the Plagiarism Risk score, the AI score, and sentence-level evidence bundled in. Paid tiers raise the per-scan character limit and add file upload, the Chrome extension, and the REST API. Yearly billing saves 25%.
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Database-comparison tools and style-pattern tools answer different questions. Use the one that fits the job, or use both. Here is the line.
Both run your draft against a curated index of academic papers, student submissions, and crawled web pages. They are strong on direct copy-paste detection because the comparison is text-against-text. They are weak on the soft category of plagiarism: clichés, generic definitions, and uncited specifics that come from somewhere but the writer cannot remember where. TextSight handles that soft category. Run TextSight throughout drafting, run Turnitin or iThenticate once as a final submission gate.
Copyleaks is a general similarity tool with a bigger marketing focus on enterprise. It also has an AI detector layered on top. Same trade-off as Turnitin on the plagiarism side: strong on database matching, weaker on the style triage TextSight does. If your institution mandates a Copyleaks report, use it for the final check and use TextSight for continuous drafting cleanup.
TextSight runs locally on the text you paste. We do not crawl a web index. We analyse style, phrasings, cadence, and citation-risk patterns, and we run AI detection in the same pass. Output is a 0 to 100 Plagiarism Risk score, an AI likelihood band, sentence-level evidence for every flag, and an Authenticity Score. The intended use is fast iteration during writing, not certification of a final draft against an academic database.
Style triage is cheap and continuous. Database matching is heavier and used as a final gate. That split is the honest workflow.
After every paragraph or section you finish, paste it into the scanner. The scan takes seconds and tells you whether the prose is clean on style and AI risk before you move on. Catching a clichéd opener at the time you write it is much cheaper than discovering it the night before submission, when rewriting an entire paragraph for a borrowed phrase you no longer remember writing is the worst version of editing.
Once the draft is locked, run it through your institution Turnitin licence or your publisher iThenticate access for the database match. This is the certification step: a clean report against the academic index is what your grading rubric or editor needs to see. TextSight will not replace this step, and a database tool will not replace the continuous style triage. The two tools are doing different jobs.
For dissertation chapters, paid client copy, or a journal manuscript, run both. TextSight first to clear AI fingerprints and stylistic risks, then a database scan for source matching. Three tools, three jobs, no overlap. That is the cleanest stack and it is what most professional writers settle into once they have been burned once by a missed flag from the wrong category.
A score on its own is not actionable. The sentence evidence is the thing that lets you fix the draft in minutes instead of guessing where the problem is.
Throughout history, humans have created art to express their emotions. According to recent studies, 87 percent of people find art therapeutic. The Mona Lisa, painted in 1503, remains one of the most famous artworks in existence.
Flag 1: stock phrasing. "Throughout history" is a clichéd opener that drifts into student writing from somewhere nobody can name. It is not legal plagiarism, but a grader will recognise it as filler. Cut or rewrite.
Flag 2: uncited specific. "According to recent studies, 87 percent of people" makes a specific factual claim with no source attached. The scanner flags every claim that looks like a statistic and has no citation. Decide: add a citation, soften the claim, or remove it.
Flag 3: stock definition. "The Mona Lisa, painted in 1503" has a very high textbook-overlap pattern. The scanner does not fact-check, but the flag prompts you to verify, which is fortunate, because the Mona Lisa was painted across 1503 to 1519, not in 1503. A three-second scan caught a fact that the writer would have submitted with full confidence.
The standalone Plagiarism Risk scanner bundled into every detection pass. No separate subscription.
Run a risk scanThe full AI detector for ChatGPT, Claude, Gemini, and Llama, with sentence-level highlights.
Open the detectorAPA, MLA, and Chicago entries generated from a DOI, URL, or book title in one click.
Open the generatorThe honest 5-step paraphrasing method built around the Plagiarism Risk score.
Read the guidePlagiarism Risk score, AI detection, and sentence evidence in one scan. Free to try with no card. 3 scans every day, 5,000 characters per scan.