Verify document authenticity with 'AI or Human?'—a Google Docs™ add-on. Easily identify AI vs. human writing, analyze patterns, and maintain originality with AI evaluation.
Fortegnelse opdateret:13. april 2024
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𝗪𝗛𝗔𝗧 𝗜𝗦 𝗔𝗜 𝗢𝗥 𝗛𝗨𝗠𝗔𝗡? - 𝗙𝗢𝗥 𝗚𝗢𝗢𝗚𝗟𝗘 𝗗𝗢𝗖𝗦™ 𝗗𝗢𝗖𝗨𝗠𝗘𝗡𝗧𝗦?

“AI or Human?” for Google Docs™ Documents is a revolutionary tool that determines whether the text within your documents has been written by an AI or a human. With the ever-increasing presence of AI-generated content, it's crucial to establish the authenticity of written work. This tool seamlessly integrates into Google Docs™, analyzing the text with sophisticated AI to reveal its origins.

Your document’s content is scrutinized using advanced algorithms that can detect subtle nuances and patterns indicative of AI authorship. With this insight, educators, editors, and content managers can uphold the integrity of written material and ensure originality.

𝗣𝗥𝗜𝗖𝗜𝗡𝗚

Start with our complimentary version that offers a basic analysis quota. For more extensive use, consider our premium plans, which provide a deeper analysis and additional features. For enterprise solutions, please reach out to us directly.

𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦

✔ Instant analysis of text origin within Google Docs™
✔ Sophisticated AI detects writing patterns and styles
✔ Validates content authenticity for academic and professional use
✔ Supports the drive for original and genuine writing
✔ Upcoming features include in-depth reporting, wider language support, and advanced document insights

SERVICES USED

✔ Google Docs™ APIs to access text in document
✔ OpenAI API for advanced text analysis

𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗘𝗥'𝗦 𝗡𝗢𝗧𝗘

Developed by Joey Bronner & Peter Snowdon, AI or Human? is in constant development, incorporating user feedback to enhance its capabilities. Our goal is to provide an essential tool for maintaining the authenticity of digital content. For support or feedback, contact us at contact@joeybronner.fr.

𝗟𝗔𝗡𝗚𝗨𝗔𝗚𝗘𝗦 𝗦𝗨𝗣𝗣𝗢𝗥𝗧𝗘𝗗

Currently, our analysis supports multiple languages, identifying the likelihood of AI-generated content across a diverse range of lingual texts.
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