{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_ai-undetect","slug":"ai-undetect","name":"AI Undetect","type":"product","url":"https://www.aiundetect.com","page_url":"https://unfragile.ai/ai-undetect","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_ai-undetect__cap_0","uri":"capability://text.generation.language.ai.generated.text.obfuscation.via.paraphrasing.and.structural.transformation","name":"ai-generated text obfuscation via paraphrasing and structural transformation","description":"Rewrites AI-generated text through synonym substitution, sentence restructuring, and syntactic variation to alter statistical fingerprints that detection systems rely on. The system likely applies rule-based and learned transformations to modify n-gram distributions, vocabulary patterns, and sentence complexity metrics while attempting to preserve semantic meaning. This approach targets the statistical signatures that detectors like GPTZero and Originality.AI use to identify LLM outputs.","intents":["I need to submit AI-generated content without triggering detection systems at my institution","I want to reuse AI-generated text across multiple submissions while evading plagiarism detection","I need to make AI content appear more human-written for publishing or client delivery"],"best_for":["Students attempting to circumvent academic integrity policies","Content farms and low-cost content mills seeking to deceive readers about content origins","Bad-faith actors misrepresenting AI content as human-authored work"],"limitations":["Detection bypass reliability is unproven against constantly evolving detectors; arms race with detection vendors means effectiveness degrades over time","Semantic preservation is unreliable — obfuscation can introduce errors, awkward phrasing, or meaning drift that human reviewers detect","No protection against fingerprinting via metadata, submission patterns, or behavioral analysis that detectors increasingly employ","Fails against detectors using watermarking, cryptographic signatures, or model-specific artifact detection rather than statistical analysis"],"requires":["AI-generated text input (typically from ChatGPT, Claude, or similar LLMs)","Internet connection for cloud-based transformation processing","No API key or authentication for freemium tier"],"input_types":["plain text","pasted content from LLM outputs"],"output_types":["obfuscated plain text","modified text with altered statistical properties"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-undetect__cap_1","uri":"capability://automation.workflow.batch.ai.content.humanization.with.quality.preservation","name":"batch ai content humanization with quality preservation","description":"Processes multiple AI-generated documents in sequence through the obfuscation pipeline, applying consistent transformation rules across a corpus while attempting to maintain readability and semantic coherence. The system likely batches requests to reduce API overhead and applies learned quality thresholds to avoid over-transformation that would introduce obvious errors. This enables content farms and publishers to scale AI content production while reducing detection risk.","intents":["I need to process hundreds of AI-generated articles for publication without manual review","I want to automate the transformation of bulk AI content for a content mill operation","I need to apply consistent obfuscation rules across multiple documents to maintain a coherent voice"],"best_for":["Content farms and SEO mills operating at scale","Publishers attempting to monetize AI-generated content without disclosure","Bad-faith actors automating large-scale content fraud"],"limitations":["Batch processing introduces latency — typical processing time unknown but likely 10-60 seconds per document","Quality degradation compounds across batches; error rates may increase with corpus size","No human-in-the-loop review, so systematic errors propagate across all transformed documents","Detectors increasingly flag batch-processed content due to statistical uniformity across multiple documents"],"requires":["Multiple AI-generated text documents (typically 10+ for batch efficiency)","Freemium account with batch processing quota (limits unknown)","Plain text or copy-paste input format"],"input_types":["plain text documents","multiple pasted texts"],"output_types":["obfuscated text documents","batch-processed output files"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-undetect__cap_2","uri":"capability://safety.moderation.detection.system.evasion.via.statistical.fingerprint.modification","name":"detection system evasion via statistical fingerprint modification","description":"Analyzes AI-generated text to identify statistical markers that detection systems (GPTZero, Originality.AI, Turnitin) use to classify content as AI-written, then selectively modifies those markers through targeted transformations. The system likely maintains models of detection algorithms' decision boundaries and applies adversarial perturbations to push text across the classification threshold. This is a form of adversarial attack against detection systems.","intents":["I need to understand what patterns detection systems are looking for and how to avoid them","I want to modify AI content in ways that specifically target known detector weaknesses","I need to test whether my AI-generated content will pass detection before submitting it"],"best_for":["Researchers studying AI detection robustness (legitimate use case)","Students and bad-faith actors attempting to evade institutional detection","Content creators testing detection evasion techniques"],"limitations":["Detection algorithms are proprietary and constantly updated; the tool's models of detector behavior become stale within weeks to months","Adversarial perturbations that fool one detector may be flagged by others using different approaches (ensemble detection)","Over-optimization for evasion often introduces linguistic artifacts that human reviewers or behavioral detectors catch","No protection against multi-modal detection (combining text analysis with metadata, submission patterns, and behavioral signals)"],"requires":["AI-generated text input","Knowledge of which detection systems the text will be checked against (varies by institution)","Internet connection for real-time detector model updates (if implemented)"],"input_types":["plain text"],"output_types":["modified text optimized for evasion","confidence scores or evasion likelihood estimates (if provided)"],"categories":["safety-moderation","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-undetect__cap_3","uri":"capability://automation.workflow.freemium.detection.bypass.testing.with.quota.limited.transformations","name":"freemium detection bypass testing with quota-limited transformations","description":"Provides free-tier access to the obfuscation pipeline with limited monthly transformations (quota unknown), allowing users to test whether their AI content will evade detection before committing to paid plans. The freemium model likely applies rate limiting and quota enforcement at the API level, with paid tiers offering higher transformation limits and potentially faster processing. This is a classic freemium conversion funnel targeting users who initially want to test the tool's effectiveness.","intents":["I want to test whether this tool can actually bypass detection before paying for it","I need to transform a small amount of AI content without spending money","I want to see if my specific use case (essay, article, etc.) will pass detection after transformation"],"best_for":["Students testing detection evasion before committing to academic fraud","Content creators evaluating the tool's effectiveness for their workflow","Bad-faith actors with low-volume content needs"],"limitations":["Freemium quota is likely restrictive (estimated 5-10 transformations per month based on typical freemium models), forcing users to upgrade for meaningful use","Free tier may have longer processing times or lower quality transformations to incentivize paid upgrades","No guarantee that free-tier transformations are representative of paid-tier quality","Quota resets may be monthly, creating artificial scarcity to drive conversions"],"requires":["Free account creation (email-based signup)","No payment method required for freemium tier","Compliance with monthly quota limits"],"input_types":["plain text"],"output_types":["obfuscated text","quota usage statistics"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-undetect__cap_4","uri":"capability://text.generation.language.simple.web.interface.for.non.technical.content.obfuscation","name":"simple web interface for non-technical content obfuscation","description":"Provides a straightforward web UI (paste text, click transform, copy result) that requires no technical knowledge or API integration, making detection evasion accessible to non-technical users like students and content creators. The interface likely abstracts away all complexity of the underlying transformation pipeline, presenting a single 'humanize' or 'bypass detection' button. This democratizes access to detection evasion techniques that would otherwise require programming skills.","intents":["I don't know how to code or use APIs; I just want a simple button to make my AI content undetectable","I need a quick, no-setup way to transform content without learning technical tools","I want to avoid any complexity that might expose what I'm doing"],"best_for":["Non-technical students attempting academic fraud","Content creators with no programming background","Bad-faith actors seeking minimal friction for detection evasion"],"limitations":["Web UI abstracts away control — users cannot fine-tune transformation parameters or understand what changes are being made","No API access for integration with automated workflows; batch processing is manual","Browser-based processing may have latency issues for large documents","No transparency into the transformation process, making it difficult to debug or understand why detection still occurs"],"requires":["Web browser (any modern browser)","Internet connection","No technical knowledge or setup required"],"input_types":["plain text pasted into web form"],"output_types":["obfuscated text displayed in browser","copy-to-clipboard functionality"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"high","permissions":["AI-generated text input (typically from ChatGPT, Claude, or similar LLMs)","Internet connection for cloud-based transformation processing","No API key or authentication for freemium tier","Multiple AI-generated text documents (typically 10+ for batch efficiency)","Freemium account with batch processing quota (limits unknown)","Plain text or copy-paste input format","AI-generated text input","Knowledge of which detection systems the text will be checked against (varies by institution)","Internet connection for real-time detector model updates (if implemented)","Free account creation (email-based signup)"],"failure_modes":["Detection bypass reliability is unproven against constantly evolving detectors; arms race with detection vendors means effectiveness degrades over time","Semantic preservation is unreliable — obfuscation can introduce errors, awkward phrasing, or meaning drift that human reviewers detect","No protection against fingerprinting via metadata, submission patterns, or behavioral analysis that detectors increasingly employ","Fails against detectors using watermarking, cryptographic signatures, or model-specific artifact detection rather than statistical analysis","Batch processing introduces latency — typical processing time unknown but likely 10-60 seconds per document","Quality degradation compounds across batches; error rates may increase with corpus size","No human-in-the-loop review, so systematic errors propagate across all transformed documents","Detectors increasingly flag batch-processed content due to statistical uniformity across multiple documents","Detection algorithms are proprietary and constantly updated; the tool's models of detector behavior become stale within weeks to months","Adversarial perturbations that fool one detector may be flagged by others using different approaches (ensemble detection)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.27,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.132Z","last_scraped_at":"2026-04-05T13:23:42.564Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-undetect","compare_url":"https://unfragile.ai/compare?artifact=ai-undetect"}},"signature":"92N7whu2VVTf8Vm177vx72226seKs5031/OEi4KQXd8tbolpgUmVHeMpPbT0C9NTMGj3wfLJIY9xx/TS0RUnCw==","signedAt":"2026-06-21T11:35:42.514Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-undetect","artifact":"https://unfragile.ai/ai-undetect","verify":"https://unfragile.ai/api/v1/verify?slug=ai-undetect","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}