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AI Content Detector

Analyze text for AI-generated patterns using perplexity, burstiness, and linguistic metrics.

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Detection Analysis

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Paste your text on the left and press Analyze Text.

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Works on all devices 100% private & local No word limits

How to use this tool

  1. 1

    Paste Your Text

    Copy any text you want to evaluate — a student essay, a freelance article, a cover letter, or your own writing — and paste it into the left box. For the most reliable results, use at least 50 words so the linguistic analysis has enough signal to measure vocabulary diversity and sentence rhythm accurately.

  2. 2

    Click Analyze Text

    Our client-side detection engine calculates perplexity (vocabulary predictability), burstiness (sentence length variance), and scans the text against a dictionary of 40+ known AI phrase markers. All analysis happens in your browser in under a second — no server call, no delay, no data transmission.

  3. 3

    Inspect the Forensic Report

    Review the AI probability score, the perplexity and burstiness gauges with Low/High indicators, and the specific flagged phrases that triggered detection. Then read the Forensic Analysis Panel below to see three expert agents debate the evidence and deliver a reasoned verdict with confidence levels.

About this tool

AI detection has become critical for teachers grading student essays, editors reviewing freelance submissions, hiring managers verifying cover letters, and content marketers maintaining editorial authenticity. The Swiftly AI Content Detector gives you an instant, forensic-grade analysis to determine whether text was generated by artificial intelligence models like ChatGPT, GPT-4, Claude, Gemini, or Llama.

Our detection engine uses the same three linguistic signals that leading academic AI detectors (GPTZero, Turnitin, Originality.ai) rely on: Perplexity, Burstiness, and Buzzword Fingerprinting. Perplexity measures vocabulary unpredictability — AI models consistently choose the most statistically probable next word, which produces unnaturally low perplexity scores compared to human writers who use varied, surprising, and context-specific vocabulary. Burstiness measures sentence-length variance — humans naturally mix 3-word fragments with 30-word complex sentences for rhythm and emphasis, while AI tends to cluster sentences at a predictable 18-22 word range. Buzzword Fingerprinting scans your text against a curated dictionary of 40+ phrases that AI models disproportionately overuse ("delve into," "rich tapestry," "testament to," "paradigm shift," and dozens more).

What makes Swiftly uniquely valuable is the Forensic Analysis Panel. Instead of just showing you a percentage, three specialized AI agents — a Linguist (vocabulary pattern analyst), a Rhythm Analyst (cadence expert), and a Verdict Judge (forensic reviewer) — hold a live, transparent discussion about your text. They cross-examine each other's findings, cite specific evidence from your writing, and deliver a reasoned verdict with confidence levels. You see exactly WHY the score is what it is, which specific sentences triggered the detection, and what you could change to influence the result.

Your privacy is absolutely guaranteed. 100% of the detection logic — the linguistic analysis, the agent debate, and the final scoring — runs locally inside your web browser using client-side JavaScript. Your text is never uploaded to an external server, stored in any database, logged for analytics, or shared with third parties. You can safely analyze confidential academic submissions, sensitive legal drafts, proprietary business content, and personal writing with complete peace of mind.

Frequently Asked Questions

Our detector uses the same three industry-standard signals (perplexity, burstiness, and phrase fingerprinting) that academic tools like GPTZero and Originality.ai rely on. For texts of 100+ words, accuracy typically falls between 85-92% for identifying pure AI output and 90-95% for identifying pure human writing. However, no AI detector is 100% definitive — hybrid texts (AI drafts edited by humans) are inherently harder to classify. Always use the score as a strong indicator rather than absolute proof.

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