A 62 percent overall AI score on a 2,000-word article is not a fix path. It is a riddle. Which 62 percent? Which paragraphs are doing the damage? Without that detail the only honest move is to rewrite the whole piece, which is exactly what the detector was supposed to save you from. TextSight returns the overall score, then breaks it down per sentence: every line gets its own colour band, its own 0 to 100 score, and a reason explaining which signal triggered the flag. You edit the 6 to 12 sentences that are genuinely AI-shaped, leave the rest alone, and ship the article. That is the difference between a verdict machine and an editing tool, and it is the reason sentence-level highlights are the default scan view on every TextSight plan from Starter up. The free 3-scans-a-day tier gives one overall AI score per scan.
Most competitors give you one number for the whole document. We give you the number too, then we give you the map. The number tells you something is wrong. The map tells you what to do about it.
Imagine an editor opens a 2,000-word article and sees "62% AI" from a single-number detector. What does that mean in practice? Maybe 62 percent of sentences read AI. Maybe 62 percent confidence the whole document is AI. Maybe two flagged paragraphs were averaged across the rest. Different detectors mean different things by the same number, and none of them tell the editor where the problem lives. The only honest next step is to open the article and read every line, which is exactly the work the detector was meant to replace.
TextSight scores every sentence on its own. Each line gets a colour band, a 0 to 100 score, and the specific signal that triggered the flag (rhythm flat, vocabulary cluster, polite-assistant pattern, and so on). On the same 2,000-word article the editor now sees that 9 sentences out of 110 are red, 4 are yellow, and the rest are green. The fix path is suddenly obvious: rewrite the 9 red sentences, decide on the 4 yellow ones, leave the 97 green ones alone, rerun the scan, and ship.
A full rewrite of a 2,000-word draft takes 60 to 90 minutes. Editing 9 flagged sentences in place takes 8 to 12 minutes. That is the entire reason sentence-level highlights exist as a product surface, and it is why they are the default scan view on every paid plan, starting with Starter. A detector without per-sentence detail is a verdict machine. A detector with per-sentence detail is an editing tool.
The whole loop takes a few minutes once the muscle memory is there. The point of sentence-level results is that step four is targeted, not a full rewrite.
Open app.textsight.ai and paste up to 1,000 words with no account or 1,500 words with a free account on the free tier, 45,000 characters on Starter, 67,500 on Pro, or 90,000 on Business. The character counter ticks live as you type. No signup is required for your first scan, and there is no credit card request anywhere in the free flow.
Click Scan. The classifier runs in about six seconds on short text and around thirty seconds on a 2,000-word article. The result panel returns a single overall 0 to 100 Humanization Score at the top, then renders the full text below with every sentence colour-banded in place. Hover any sentence to read its individual score.
Open a flagged line and the reason panel lists which of the six signals fired on that sentence: rhythm flat, vocabulary cluster, paragraph cadence, sentence-length variance, transition cluster, or polite-assistant pattern. Clustered red sentences with consistent signals are real evidence. Isolated yellow lines in a green essay are usually false positives on formal or templated prose, and the colour map makes that distinction visible at a glance.
Rewrite the red lines in place, or click the per-line Humanizer button to rewrite a single flagged sentence without touching the rest of the document. Rerun the scan to confirm the page is mostly green. The point of the four-step loop is that step four is targeted editing of 6 to 12 sentences, not a full rewrite of the whole article.
Each signal returns a 0 to 100 score for the sentence. The six are weighted and combined into the colour band the editor sees. The full methodology is published; the short version is below.
Native human writing varies sentence rhythm naturally: a short line, a longer one, a fragment, a question. AI output tends to lock into a narrow rhythm where every sentence lands within a few syllables of the same shape. The rhythm signal compares the sentence against a baseline distribution and flags sentences that sit inside the flat-rhythm cluster characteristic of GPT-4 and Claude.
About eighty words are over-used by current frontier models well above their human baseline frequency: delve, tapestry, navigate, robust, leverage, seamless, transformative, empowers, elevate, and the rest of the shortlist. The vocabulary signal counts matches against the baseline and flags sentences that pack three or more cluster words inside a short line.
AI tends to open and close every paragraph the same way: topic sentence, three supporting sentences, summary closer. The cadence signal tracks paragraph shape across the document and flags individual sentences whose position in the paragraph matches the AI template exactly (especially the synthesis closer, which is one of the strongest single tells).
Burstiness, in the perplexity literature. Humans land bursts of short and long sentences in sequence; AI smooths the variance out so every sentence falls within a 16-to-22-word band. The variance signal measures the running standard deviation of sentence length in a small window around the line and flags sentences that sit inside a low-variance cluster.
Furthermore, Moreover, In addition, Additionally, Importantly, Notably. AI loves a stacked transition at the start of a paragraph or a sentence. The transition signal counts cluster words at sentence openings and flags lines that begin with one when the surrounding paragraph already opened with another.
The hedge-and-summarise register the assistant family is trained into: "it is important to note that," "while this approach has merits," "ultimately, the best path forward depends on." The polite-assistant signal flags sentences whose structure matches the register fingerprint, which is the single most consistent tell across model generations.
The free tier gives 3 scans a day: up to 1,000 words each with no account, or up to 1,500 words with a free account, with one overall AI score per scan. Sentence-level highlights start on Starter and are the default scan view on every paid plan.
3 scans a day, up to 1,000 words each with no account or up to 1,500 words with a free account, one overall AI score per scan, and the AI Humanizer in Basic mode. No credit card. The five-band colour map, the per-line reason panel and hover-to-score start on Starter.
A document-level percentage without per-sentence detail is the wrong product to ship to anyone who actually has to edit the text. It generates an inscrutable number, hands it to the writer, and walks away. The writer either rewrites the whole article from scratch or ignores the verdict, neither of which is the workflow the detector should be enabling. Sentence-level highlights turn the detector into an editing tool, and the editing tool is the actual product. That is why it is the default view from Starter, the entry paid plan, up.
Sentence-level highlights with the colour bands and per-line reasons, volume cap (13,500 to 90,000 characters per scan), scan frequency (20 a day on Starter, 100 on Pro, 250 on Business, 500 on Enterprise), file upload, per-sentence PDF and CSV export, white-label exports on Business, REST API access for downstream review tooling, and team seats. The classifier itself is identical on every plan, and the six signals, the colour bands and the reasons are identical on every paid plan.
The classifier, the six signals, the colour bands, and the per-line reasons are identical on every plan. Paid tiers raise the cap and unlock uploads, exports, API, and seats.
Sentence highlights are part of every paid tier, starting with Starter. Yearly billing saves 63%. View full pricing →
The general-purpose detector with the same sentence-level colour map and per-line reasons.
Open the detector →The 0 to 100 metric on every output, aggregated from the same per-sentence signals as the highlights.
Read the score guide →Methodology and the six manual signals a trained reader can spot, paired with the tool workflow.
Read the methodology →Rewrite a single flagged sentence in place, or run the full document through one humanize pass.
Open the humanizer →Free 3 scans a day, no card, one overall AI score per scan; full 5-band sentence highlights on every plan from Starter. Edit the 6 to 12 lines that need it, leave the rest alone.