martysai/artificial-text-detection

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

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Experimental

This tool helps you determine if a piece of text was written by a human or generated by an AI, such as a large language model. You provide a body of text, and the system outputs a classification indicating its likely origin. This is useful for content moderators, educators, journalists, and anyone needing to verify the authenticity of written content.

No commits in the last 6 months.

Use this if you need to reliably distinguish between human-authored content and text produced by artificial intelligence.

Not ideal if you're looking for a general-purpose natural language processing library for tasks other than text origin detection.

content-moderation academic-integrity plagiarism-detection information-verification digital-journalism
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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16

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1

Language

Python

License

MIT

Last pushed

Sep 05, 2023

Commits (30d)

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