gohumanize.ai turns AI-generated text into writing that reads naturally, keeping the meaning, the facts and the author's intent.
We publish part of our work in the open so developers and researchers can learn how a text-humanization system is built:
GoHumanize Open Humanizer is a small open model (Qwen3-4B fine-tune, Apache-2.0) trained on 2,000 pairs built from 47 public-domain books, published with its dataset, training pipeline, evaluation and a paper-style write-up of every step and service used.
| Resource | Link |
|---|---|
| Project page and browser demo | gohumanize.ai/open-model |
| Model weights, LoRA adapter, GGUF builds | gohumanize/gohumanize-open-humanizer |
| Dataset, 2,200 pairs (CC-BY 4.0) | gohumanize/gohumanize-open-humanizer-dataset |
| Code and full pipeline | gohumanize-open-humanizer |
| Write-up: every step, service and result | docs/paper.md |
| Archived release, citable DOI | 10.5281/zenodo.22843083 |
| Python client and CLI | pypi.org/project/gohumanize-open-humanizer |
| MCP server for AI assistants | npm · source |
Try it in one line:
pip install gohumanize-open-humanizer && open-humanizer "It is worth noting that the committee reached a consensus."The open model is an educational release. It is separate from the production models behind gohumanize.ai and makes no claim about AI detectors.
