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GPT Radar
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GPT Radar Verified Tool

GPT Radar provides AI-generated text detection or authenticity analysis according to its service. Users should treat scores as uncertain signals, test false positives across languages and genres, inspect source and writing evidence, protect submitted text, allow explanation and appeal, and never punish someone solely from an automated result.

Last Update: August 20, 2026

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Starting price From $0.02

Tool Information

GPT Radar provides AI-generated text detection or authenticity analysis according to its service. Users should treat scores as uncertain signals, test false positives across languages and genres, inspect source and writing evidence, protect submitted text, allow explanation and appeal, and never punish someone solely from an automated result.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, deployment, grading, legal work, purchases, automation, or consequential changes.

Paid usage starts from $0.02. Scans, characters, API calls, credits, minimum purchases, expiration, and billing terms vary.

AI output or detection scores may be inaccurate, generic, biased, incomplete, stale, unsafe, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, and commercial rights, and require qualified human review for legal, government, education, finance, communications, code, or other high-impact work.

F.A.Q (3)

GPT Radar provides AI-generated text detection or authenticity analysis according to its service. Users should treat scores as uncertain signals, test false positives across languages and genres, inspect source and writing evidence, protect submitted text, allow explanation and appeal, and never punish someone solely from an automated result.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, deployment, grading, legal work, purchases, automation, or consequential changes.

Verified pricing: From $0.02. Paid usage starts from $0.02. Scans, characters, API calls, credits, minimum purchases, expiration, and billing terms vary.

Pros and Cons

Pros

  • GPT Radar provides a simple browser form for analyzing text
  • Its output can prompt a human reviewer to inspect disclosure and provenance
  • Pay-as-you-go billing avoids a recurring subscription
  • Credits cost two cents each
  • One credit covers one hundred tokens; roughly one hundred twenty-five English words
  • An account can be created with email or Google sign-in
  • API documentation supports automated analysis workflows
  • The API reports available credit and token balances
  • A page can be checked through a single API request
  • The stated one-request-per-second limit is easy to understand
  • Customer data ownership is recognized in the published terms
  • Email support is included under commercially reasonable service efforts
  • The service can support low-stakes editorial screening
  • A minimum text guidance helps discourage judgments from extremely short samples
  • Brand teams can use results as one signal in a broader disclosure review
  • The public site clearly identifies the detector as a NeuralText experiment

Cons

  • GPT Radar says it relies on OpenAI GPT-3; an outdated basis for detecting modern models
  • The site requires at least four hundred words for results it calls reliable
  • No detector can prove who authored a passage
  • Original human prose can receive a false AI classification
  • Edited AI text can evade statistical detection
  • Non-native speakers and formulaic professional writing face elevated false-positive risk
  • A score must never be the sole basis for discipline; rejection; or accusation
  • The service gives no public independent accuracy benchmark
  • Detection performance changes as generation models evolve
  • Submitted confidential text becomes customer data processed by a third party
  • The terms permit analysis of service and customer-derived usage information
  • The API is limited to one call per second by default
  • Credits add cost to long documents
  • Terms allow fees to change with notice
  • Customer data may remain retrievable for only thirty days after termination
  • The experiment's 2022 branding and three-year-old API documentation suggest limited recent evolution

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