verbatimeter is a CLI tool for deterministically verifying the groundedness of AI-generated text. It highlights verbatim and paraphrased reuse, counts differing tokens, and helps gate pipelines on fabricated quotations. Designed for AI researchers and developers working with LLM outputs.
In the LLM eval & observability space, verbatimeter takes a focused approach. It focuses on ensuring AI-generated text is properly grounded in its source and detecting fabricated or paraphrased content. verbatimeter is an open-source project aimed at ai researchers. The project is open source (MIT). It runs on the command line.
Behind verbatimeter is pierreolivierbonin, and it first shipped in 2026. The project is developed in the open on GitHub with 48 commits in the last 90 days. Key capabilities include groundedness verification, text reuse detection, and token difference counting.
Summary written by a language model from the project’s public pages.
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