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AI Text Detector

You had manual writing tools, then recently AI automatic content writing tools, then plagiarism detectors … and now AI to detect AI writings!

At least on the few trials we did …. indeed, it did detect humanly written texts and AI-generated tests.

The story does not tell if it detects human texts because of the many mistakes inside and AI because of perfect grammar! Probably all parameters together.

To be used by writers, anti-cheaters… or cheaters taking more precautions.

Fast, free, and easy.

Note that this was developed for GPT-2, not the latest version being GTP-3.

Disciplines: Education, Journalism, Publishing, Academic research, Content marketing.
Free alternative to GPTZero, Turnitin, Originality.ai.
AI Text Detector compared with GPTZero, Turnitin and Originality.ai
AI Text DetectorGPTZeroTurnitinOriginality.ai
Detection basis: A RoBERTa base classifier fine-tuned on outputs of the 1.5B-parameter GPT-2 model. It predicts whether a text came from GPT-2 and returns probabilities for real versus fake text.Detection basis: Scores pasted or uploaded text and highlights sentences flagged as likely AI-generated. The vendor names ChatGPT, Claude and Gemini among the covered models, and adds a plagiarism checker and an authorship replay feature.Detection basis: Reports an overall percentage and highlights suspected segments inside the Similarity Report. It also flags text that may have been reworded by paraphrasing tools, a check available in English only.Detection basis: Offers AI detection on every plan, including the free tier. Paid plans add plagiarism checking, full-site and URL scans and scan history.
Limits and validity: The developers report approximately 95% accuracy on text from the 1.5B GPT-2 model and say this is not enough for standalone detection. The model card warns against using it as a ChatGPT detector, and larger generators are harder to detect.Limits and validity: Accuracy figures are the vendor own claims, and the vendor notes that no AI detector is perfectly accurate. Full language support is stated for English, German, Portuguese, French and Spanish.Limits and validity: Needs at least 300 words of prose, at most 30,000 words and under 100 MB per file. The vendor aims for a false positive rate under 1% on documents with more than 20% AI writing, and scores below 20% appear only as an asterisk.Limits and validity: The free tier allows 3 scans per day and 2,000 words per scan, with file upload of docx, pdf and doc.
Licence and cost: The model is published on Hugging Face under the MIT licence, so the weights can be downloaded and inspected.Licence and cost: A free scan works without an account, and scans above 10,000 characters need a free account. The team plan lists an allowance of 500,000 words each month per member with a minimum of 2 seats.Licence and cost: Licensed to institutions, as part of Turnitin Originality or as an add-on for iThenticate 2.0. Only instructors and administrators see the indicator.Licence and cost: Pro and Enterprise are paid subscriptions, billed monthly. One credit equals 100 words, and the vendor page shows some inconsistent figures, so check current prices.
Integration and API: No API is documented on the model card. The model is intended for research on synthetic text generation and detection.Integration and API: An API with ready-to-use code in 17 programming languages is offered, with a Chrome extension and integrations such as Google Classroom, Canvas and Zapier.Integration and API: LTI integrations and a RESTful API are listed for Turnitin Originality.Integration and API: API access is listed under the Enterprise plan, and a Chrome extension is included on paid plans.
Intended use: The model card excludes serious academic misconduct allegations from the intended use. It suits studies of how GPT-2 era detectors behave.Intended use: Stated users include educators, students, publishers, recruiters and marketers.Intended use: Built for educational institutions. The vendor states the score should not be the sole basis for action and does not determine misconduct.

Topics covered: AI Text Detector, plagiarism detection, content generation, automatic writing tools, grammar analysis, text analysis, human-written texts, AI-generated texts, detection algorithms, machine learning, natural language processing, accuracy assessment, anti-cheating tools, user-friendly interface, performance evaluation, GPT-2, and GPT-3..

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