lynote-ai/humanize-text

This repository is called AI Humanize Text. It is an open-source Python toolkit that takes text written by an AI model and rewrites it into something that reads more like writing from a person. The README frames the project as a place for researchers, developers, and writers to study and experiment with humanization techniques, and as a public sibling of the commercial service lynote.ai, which is heavily promoted throughout the README. The toolkit ships four independent methods, each presented with its own trade-offs. Method one is a multi-language translation chain: the text is run through translators in several distant languages, for example English to Chinese to Japanese to Finnish and back to English, so the structure changes along the way. Method two is multi-turn rewriting with a large language model, where the DeepSeek API is called several times at a high temperature setting to vary sentence rhythm and vocabulary. Method three is a detection-guided feedback loop that rewrites a passage, scores it with detection models like Binoculars and a RoBERTa classifier, and rewrites again until the score drops. Method four mixes outputs from different neural machine translation engines in a single pass to avoid the fingerprint of any one engine. The README is honest about the limits of each method. Translation chains can lose nuance and terminology accuracy. Multi-turn rewriting can drift away from the original meaning. The detection-guided loop needs local detection models and a GPU and is harder to debug. Mixed-engine translation drives up API costs. A large portion of the README pitches lynote.ai as a paid web service that combines all four methods into one adaptive pipeline, with no local setup, support for ten or more languages, and additional post-processing. The README states clearly that the open-source toolkit ships the same techniques but at a smaller scale and with manual method selection. Quick start options listed in the README are the lynote.ai web service, Docker via docker compose up, source installation for Python developers, and a Google Colab notebook described as coming soon.