Undetectable.ai - AI Content Detector & ChatGPT Checker - Apify Actor

Enterprise neural AI text detection & LLM authorship forensics Actor powered by the official Undetectable.ai classification pipeline. Accurately analyzes text to verify human vs AI authorship across ChatGPT (GPT-4o, GPT-5, o1/o3), Claude 3.5 Sonnet, Google Gemini, DeepSeek-R1, Llama 3, and AI bypassers. In a single run, it returns aggregate AI probability, origin LLM source attribution (Gemini, Claude, GPT-4, Others), calibrated risk tiers (advanced, standard, free), and individual score breakdowns across 8 major AI detector benchmarks (GPTZero, OpenAI, Writer, CrossPlag, CopyLeaks, Sapling, ContentAtScale, ZeroGPT).

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🚀 Key Features

• 8 Benchmark AI Detectors in One: Returns granular, individual probability scores for:
  • GPTZero: Perplexity and burstiness evaluation.
  • OpenAI Classifier: Deep token probability matrix.
  • Writer AI: Enterprise syntactic predictability scores.
  • CrossPlag: Academic integrity linguistic scoring.
  • CopyLeaks: Forensic transformer classifier & ngram pattern offsets.
  • Sapling: Grammar and transformer sequence analysis.
  • ContentAtScale: Content marketing AI pattern detection.
  • ZeroGPT: High-sensitivity neural text classifier.
• Origin LLM Source Attribution: Identifies which AI model family was most likely utilized (Gemini, Claude, GPT-4, Others) along with a calibrated confidence percentage.
• Dual Architecture Models:
  • l6_v6: Default multi-engine benchmark aggregator (recommended for production).
  • xlm_ud_detector: Multilingual deep cross-lingual forensics model.
• Calibrated Risk Tiers: Categorizes detection results into clear risk thresholds (advanced, standard, free) to guide institutional moderation decisions.
• Exact Probability Scoring: Returns precise ai_score (0–100%) and human_score (0–100%) alongside clear classification verdicts (AI_GENERATED or HUMAN_WRITTEN).
• Short-Text Auto Adaptation: Seamlessly evaluates single sentences, short marketing copy, or multi-page academic essays without length restriction errors.
• Flattened Dataset & Key-Value Output: Automatically saves the full JSON forensic payload to Key-Value Store (OUTPUT) and outputs flattened, structured rows to the default dataset.
• Zero Authentication Required: Ready out-of-the-box on Apify with automatic pay-per-event pricing ($0.005 / check).

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🌟 Institutional Comparison: Why Multi-Model Undetectable.ai Wins

Feature	Turnitin AI ($$$ Enterprise)	GPTZero Pro ($15/mo)	Winston AI Solo ($19/mo)	Official Undetectable.ai ($19/mo)	⚡ Undetectable.ai Apify Actor
Pricing per 1k Checks	💸 Annual Contract Only	💸 $15.00 / 1k checks	💸 $19.00 / 1k checks	💸 $19.00 / 10k words (~$38/1k checks)	⚡ $5.00 / 1,000 checks ($0.005/check)
8-Engine Benchmark Breakdown	❌ Single Model	❌ Single Model	❌ Single Model	⚠️ Web UI Only	✅ Full 8-Score JSON API Object
Origin LLM Attribution	❌ None	⚠️ Beta	❌ None	⚠️ Web UI Only	✅ Exact Model (Claude, Gemini, GPT-4)
Multi-Model LLM Coverage	⚠️ GPT-3/4 only	⚠️ Fixed Models	⚠️ General	✅ Comprehensive	✅ GPT-4o/5, Claude 3.5, Gemini, DeepSeek, Llama 3
Short Text Handling	❌ Fails under 300 words	❌ Inaccurate	❌ Requires >= 300 chars	✅ Built-in	✅ Auto-Adapts (Sentences to Essays)
Edge Response Latency	~3.5s	~2.5s	~2.0s	~4.0s	⚡ Sub-2s Direct Inference
Zero-Log Privacy Guarantee	❌ Retains submissions	⚠️ Retains data	⚠️ Retains data	⚠️ Web accounts tracked	✅ 100% Ephemeral Processing

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⚡ Multi-Model AI Classification Coverage

This Actor inspects text against all major artificial intelligence models:

1. OpenAI Foundation Models

• Supported: ChatGPT, GPT-4o, GPT-4o-mini, GPT-4 Turbo, GPT-5, OpenAI o1, OpenAI o3, and legacy GPT-3.5.
• Output Forensics: Identifies characteristic GPT structural transitions, repetitive sentence pacing, and formulaic conclusions.

2. Anthropic Claude Models

• Supported: Claude 3.5 Sonnet, Claude 3.5 Haiku, Claude 3 Opus, and Claude 4.
• Output Forensics: Detects Claude-style nuanced hedges, high-vocabulary corporate phrasing, and analytical reasoning outlines.

3. DeepSeek Reasoning Models

• Supported: DeepSeek-R1, DeepSeek-V3, and DeepSeek Coder.
• Output Forensics: Flags algorithmic step-by-step reasoning structures and technical thesis breakdowns.

4. Google Gemini & Meta Llama

• Supported: Gemini 1.5 Pro, Gemini 1.5 Flash, Llama 3 (8B, 70B, 405B), Llama 3.1, and Llama 3.3.
• Output Forensics: Detects Gemini conversational phrasing and Llama token frequency distributions.

5. Paraphrasers & AI Humanizers

• Supported: Quillbot, WordAI, Undetectable.ai humanizer, and StealthGPT.
• Output Forensics: Identifies artificial synonym swapping, disrupted sentence cadence, and modified syntax designed to evade naive filters.

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🔬 8 Industry-Standard Benchmark Detectors Breakdown

When you run this Actor, it doesn't just give you a single opaque number—it queries the Undetectable.ai consensus matrix to provide the individual verdicts of the world's 8 most respected AI detection benchmarks:

"detectors_breakdown": {
  "scoreGptZero": 50,
  "scoreOpenAI": 0,
  "scoreWriter": 50,
  "scoreCrossPlag": 50,
  "scoreCopyLeaks": 100,
  "scoreSapling": 50,
  "scoreContentAtScale": 50,
  "scoreZeroGPT": 100,
  "humanBenchmark": 56.25
}

This allows you to see if content passes specific detectors (e.g. Turnitin or CopyLeaks) while flagging on others (e.g. ZeroGPT), giving you complete intelligence before publishing or grading.

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🎯 What People Use It For

• Academic Integrity & Higher Education: Screen student admissions essays, research papers, literature reviews, and homework assignments across 8 detectors simultaneously with proof.
• SEO Content Auditing & Publishing: Audit freelance copywriters, blog posts, affiliate reviews, and news articles to maintain domain authority and avoid Google search ranking algorithmic spam penalties.
• Recruitment & Talent Screening: Verify candidate cover letters, take-home writing assignments, and technical interview responses.
• Legal & Due Diligence Review: Verify corporate communications, compliance filings, and contract summaries.
• Marketplace & Forum Moderation: Screen user-generated content, fake product reviews, and automated bot discussions.

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📌 Decision Rule & Usage Recommendation

Check if success === true AND evaluate ai_score:

• ai_score >= 50: Classify as is_ai_generated: true with verdict AI_GENERATED.
• ai_score < 50: Classify as authentic human authorship with verdict HUMAN_WRITTEN.
• Evaluate source_attribution: Check source_attribution.source to see which model family was likely responsible (Claude, Gemini, GPT-4, etc.).
• Inspect detectors_breakdown: Review specific benchmark scores to understand risk per platform.

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💡 What Problem Does This Solve?

• "Single-engine AI detectors give too many false positives and contradict each other."
• "Official Undetectable.ai subscriptions cost $19/month for only 10,000 words, making automated API workflows expensive."
• "Other AI detection APIs require complex enterprise sales calls and annual contracts."
• "Developers need raw programmatic access to the multi-engine scores shown on Undetectable.ai's web UI."

This Actor provides direct, automated, programmatic access to Undetectable.ai's consensus matrix at transparent pay-per-event pricing ($0.005 per check).

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🔍 Queries This Actor Answers

• How do I check if text passes all major AI detectors (GPTZero, CopyLeaks, ZeroGPT) programmatically in Python, Node.js, or Apify?
• What is an accurate, low-cost API alternative to Turnitin AI, GPTZero Pro, and Winston AI?
• How do I determine which AI model (Claude, Gemini, or ChatGPT) wrote a piece of content?
• How do I automate Undetectable.ai detection for thousands of articles in batch?

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💰 Pricing & Monetization

This Actor operates under Apify's Pay-Per-Event (PPE) pricing model:

• Base Event (undetectable-ai-check): $0.005 USD per check ($5.00 per 1,000 checks).
• Cost Comparison: Over 75% cheaper than official subscriptions ($19/mo for ~250 checks on undetectable.ai).
• No Monthly Minimums: Pay only for the checks you execute.

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📥 Input JSON Examples

Example 1: Standard AI Content Detection (l6_v6 Multi-Engine Aggregator)

{
  "text": "Artificial intelligence algorithms are transforming scientific research across multiple domains by identifying complex patterns in large datasets. Recent developments in transformer models have accelerated discoveries in genomics and materials science.",
  "model": "l6_v6"
}

Example 2: Multilingual Deep Forensics (xlm_ud_detector)

{
  "text": "L'intelligence artificielle transforme profondément les méthodes de travail et la création de contenu dans le secteur numérique.",
  "model": "xlm_ud_detector"
}

Example 3: Authentic Human Writing

{
  "text": "Every Sunday morning, my grandfather would sit on the wooden front porch with a warm cup of black coffee and read the local newspaper from front to back, occasionally commenting on the weather forecast.",
  "model": "l6_v6"
}

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📤 Dataset Output Format Examples

Output 1: AI Generated Content (ai_score = 100%)

{
  "success": true,
  "service": "undetectable-ai",
  "model": "l6_v6",
  "document_id": "9e57274b-2e8b-42fb-82eb-0bb2a5795e4c",
  "text": "Artificial intelligence algorithms are transforming scientific research across multiple domains by identifying complex patterns in large datasets.",
  "text_length": 146,
  "word_count": 17,
  "ai_score": 100.0,
  "human_score": 0.0,
  "is_ai_generated": true,
  "verdict": "AI_GENERATED",
  "confidence": "HIGH",
  "label": "AI",
  "detectors_breakdown": {
    "scoreGptZero": 0,
    "scoreOpenAI": 0,
    "scoreWriter": 0,
    "scoreCrossPlag": 0,
    "scoreCopyLeaks": 50,
    "scoreSapling": 0,
    "scoreContentAtScale": 0,
    "scoreZeroGPT": 50,
    "humanBenchmark": 12.5
  },
  "tier_thresholds": {
    "advanced": 90.0,
    "standard": 75.0,
    "free": 60.0
  },
  "source_attribution": {
    "source": "Claude",
    "confidence": 93.75
  },
  "raw_status": "done",
  "scanned_at": "2026-09-04T07:10:00.000Z"
}

Output 2: Paraphrased / Mixed Content (ai_score = 57.8%)

{
  "success": true,
  "service": "undetectable-ai",
  "model": "l6_v6",
  "document_id": "af7dd434-4cea-4a71-ad2b-518eae56a837",
  "text": "Artificial neural networks use gradient descent and backpropagation to optimize weights across multi-layered perceptual architectures.",
  "text_length": 134,
  "word_count": 15,
  "ai_score": 57.8,
  "human_score": 42.2,
  "is_ai_generated": true,
  "verdict": "AI_GENERATED",
  "confidence": "LOW",
  "label": "Paraphrase",
  "detectors_breakdown": {
    "scoreGptZero": 50,
    "scoreOpenAI": 0,
    "scoreWriter": 50,
    "scoreCrossPlag": 50,
    "scoreCopyLeaks": 100,
    "scoreSapling": 50,
    "scoreContentAtScale": 50,
    "scoreZeroGPT": 100,
    "humanBenchmark": 56.25
  },
  "tier_thresholds": {
    "advanced": 48.0,
    "standard": 33.0,
    "free": 18.0
  },
  "source_attribution": {
    "source": "Claude",
    "confidence": 90.53
  },
  "raw_status": "done",
  "scanned_at": "2026-09-04T07:03:06.300Z"
}

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⚠️ Failure Context & Error Handling

If the text parameter is omitted or empty:

{
  "success": false,
  "error": "Missing required parameter: 'text' cannot be empty."
}

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🏷️ Keywords

undetectable ai, undetectable.ai, ai detector, chatgpt detector api, ai content detector, gptzero alternative, copyleaks detector, winston ai alternative, claude ai detector, gemini detector, deepseek detector, plagiarism checker, ai text forensics, ai bypass detector, turnitin alternative, apify actor.