Most "AI rewriter" tools rewrite blind and hand you a black box. TextSight runs a three-stage rewrite (sentence diversification, vocabulary shift, rhythm and cadence change), shows you exactly which sentences moved, and re-scores the output against our own detector so you see the Authenticity Score on every pass. Three modes (Light, Balanced, Maximum), works on ChatGPT, Claude, Gemini, and GPT-4o output, built for authentic voice rather than score reduction. Free 1,500-word quota, no card.
Generic AI rewriters rewrite the whole draft in one pass and hope for the best. TextSight runs three targeted stages, each one tuned for a specific pattern that detectors and careful readers flag as machine-written, with closed-loop scoring between them.
Large language models cluster almost every sentence in the 16-to-22 word range, which produces the flat rhythm detectors are trained to spot. The first stage breaks the cluster: it shortens some sentences for emphasis, lengthens others by combining clauses, and adds the occasional fragment where the surrounding context allows it. The result is a burstiness pattern that matches how humans actually write, with sentence length varying paragraph by paragraph rather than holding steady at the model default.
The second stage targets the AI vocabulary cluster (delve into, tapestry, navigate, multifaceted, robust, leverage, underscore, foster) and the polite-assistant openers (Certainly, Of course, I would be happy to). It swaps them for conversational alternatives that fit your topic and register. Technical terms, proper nouns, named entities, and anything inside quotation marks are recognised and left exact, so a swap never changes a citation or a product name by accident.
The third stage works at the paragraph level. Models default to paragraphs of roughly equal length with similar internal structure (topic sentence, three supports, transition out). This stage breaks the pattern by varying paragraph length, shifting where the central claim lands inside each paragraph, and replacing the boilerplate transition stack (Furthermore, Moreover, In addition, In conclusion) with specific connectors or by deleting them entirely. The single biggest visible AI tell for most readers, addressed in the stage most standalone AI rewriters skip.
Each mode runs the same three stages but with different intensity. Picking the right mode matters more than people realise; aggressive rewrites can flatten the very voice you are trying to make authentic.
Light makes mild edits and stays close to the original sentence structure. Right for content where exact meaning matters, including technical writing, anything with citations or numbers, and work where your authentic phrasing is part of the value. Score gains are smaller per pass, which is usually fine for content that started with light AI assistance rather than full model generation.
Balanced is the default and runs moderate rewrites. Right for blog posts, articles, marketing copy, cover letters, and most general-purpose content. It restructures sentences and shifts vocabulary but keeps paragraph intent intact. If you are not sure which mode to pick, start here.
Maximum runs the most aggressive rewrite across all three stages. It produces the biggest Authenticity Score gain on a single pass, but it also takes the most liberty with rhythm and vocabulary. The caveat is real: very aggressive rewrites can flatten authentic voice, replacing your distinctive phrasing with generic conversational patterns that read human but no longer read like you. A useful default is to start on Balanced, then run Maximum on the remaining flagged sentences only and read the output once before publishing.
The whole loop runs in under a minute on a 500-word draft. You always see the before and after side by side with a new Authenticity Score updating in real time.
Open the AI rewriter at app.textsight.ai and paste your draft into the input field. The free tier handles up to 1,500 words at a time. Paid tiers raise the per-paste ceiling. Source model does not matter; ChatGPT, Claude, Gemini, and GPT-4o output all run through the same three-stage pipeline.
Pick Light, Balanced, or Maximum. The Balanced default is right for most content. Pick Light when meaning preservation is critical (technical writing, citations, work where your phrasing is part of the value). Pick Maximum on remaining flagged sentences after a Balanced pass, not as the first reach on a full draft.
The AI rewriter runs the three stages in sequence with closed-loop scoring between them. A 500-word draft completes in roughly 20 to 40 seconds depending on mode and load. Longer drafts scale roughly linearly. A progress indicator shows which stage is running so you know what is happening rather than watching a generic spinner.
The output panel shows the rewritten text, a final Authenticity Score, and a sentence-level highlight map. Green sentences read human. Yellow are borderline. Red still carry AI patterns. The map tells you where to focus a manual pass, or whether to re-run Maximum on the residual red sentences only. Evidence you can read, not just a single percentage.
The AI rewriter is model-agnostic. The structural patterns that mark AI prose (uniform sentence rhythm, abstract vocabulary cluster, polite-assistant openers, uniform paragraph cadence) are shared across every recent large language model, and the AI rewriter addresses all of them in the same three stages.
The original source of the vocabulary cluster everyone now associates with AI prose: delve, tapestry, navigate, multifaceted, robust. The AI rewriter recognises and swaps these specifically, along with the polite-assistant openers ("Certainly!", "Of course!", "I would be happy to") and the uniform paragraph cadence the GPT-4 family ships with.
Claude's voice register is slightly warmer than GPT-4's but the structural patterns are similar: uniform sentence length, transition phrase stacks, the hedge cluster ("it is worth noting that," "one might consider that"). Stage two recognises Claude's vocabulary signature and stage three breaks Claude's particular paragraph rhythm, which tends to use a slightly longer topic sentence than ChatGPT.
Gemini output skews toward bullet-heavy structure and slightly shorter paragraphs than ChatGPT, with its own vocabulary signature ("crucially," "ultimately," "in essence"). The AI rewriter handles the bullet-to-prose conversion when needed and addresses the Gemini-specific vocabulary in stage two.
Reasoning models like o1 and the thinking variants of GPT-4o produce noticeably longer drafts with more nested clauses than the base GPT-4. The same three-stage rewrite applies, with stage one taking on extra work to break up the longer sentence clusters the thinking models default to.
An AI rewriter is a tool, and the same way grammar checkers and rewriting tools have legitimate uses and dishonest uses, this one should be used inside a clear ethical scope. Here is what TextSight's AI rewriter is built for and what it is not.
The AI rewriter is built to help writers whose work already includes their own thinking land that thinking in their own voice rather than in the institutional AI register. That includes content writers running pre-publish QA on AI-assisted drafts, journalists working with AI research summaries who want the published prose to sound like their reporting, and grant writers reviewing funded prose before submission. The detector and AI rewriter were built as a pair, with closed-loop scoring between them, so you get evidence about what the rewrite changed rather than a black-box output.
Using an AI rewriter to disguise AI-generated work submitted under your name in graded academic contexts is academic misconduct regardless of the tool. The AI rewriter cannot fix the underlying integrity problem there, and the honest path is to use the detector to understand which sentences read AI and then rewrite them in your actual voice. That path respects both academic integrity and your own development as a writer, and the score that results from honest editing is more useful than the score that results from automated score reduction.
The AI rewriter reports an Authenticity Score and a sentence-level highlight map on every output. Those signals exist so you can verify what the rewrite actually changed and decide whether the output reflects your voice or has flattened it into something generic. The product is designed to keep the writer in the loop, not to disappear AI prose behind a single percentage with no evidence attached.
All three modes available on every paid plan. Tiers differ on monthly word quota and on access to the Chrome extension, file and URL upload, and REST API. Full details on the pricing page.
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The main AI rewriter landing covering every source model, not just one.
Open AI rewriter →Same AI rewriter with deeper focus on the ChatGPT voice patterns.
Open the guide →How the score is computed and what threshold to aim for before publishing.
Read the guide →The manual workflow when you want judgement in the loop, not just automation.
Read the workflow →Free to try, no card. Three modes, sentence-level evidence, closed-loop scoring with the TextSight detector. Works on ChatGPT, Claude, Gemini, and GPT-4o output.