Verify document authenticity with 'AI or Human?'β€”a Google Docsβ„’ add-on. Easily identify AI vs. human writing, analyze patterns, and maintain originality with AI evaluation.
Ultimo aggiornamento scheda:13 aprile 2024
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π—ͺ𝗛𝗔𝗧 π—œπ—¦ π—”π—œ 𝗒π—₯ 𝗛𝗨𝗠𝗔𝗑? - 𝗙𝗒π—₯ π—šπ—’π—’π—šπ—Ÿπ—˜ 𝗗𝗒𝗖𝗦ℒ π——π—’π—–π—¨π— π—˜π—‘π—§π—¦?

β€œAI or Human?” for Google Docsβ„’ 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 Docsβ„’, 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.

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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.

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

SERVICES USED

βœ” Google Docsβ„’ APIs to access text in document
βœ” OpenAI API for advanced text analysis

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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.

π—Ÿπ—”π—‘π—šπ—¨π—”π—šπ—˜π—¦ 𝗦𝗨𝗣𝗣𝗒π—₯π—§π—˜π——

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