ai-humanize documents 4 theoretical approaches. This repo (humanize-text) provides the actual working Standard pipeline with real code you can run.
- DeepSeek (free tier available) — for LLM humanization rewriting
- Niutrans (free tier available) — for translation steps
Google Translate (Step 3) uses the free public API and doesn't require a key.
Typically 10-30 seconds per text, depending on length. The LLM rewriting steps (1-2) take the most time.
The current chain (Chinese → Japanese → German → Spanish) is optimized for English input. Changing it requires modifying src/pipeline.py. Different chains may produce different quality levels.
Lower temperatures (1.0) produce more predictable, AI-detectable output. Higher temperatures (>1.5) cause incoherence. 1.3 is the sweet spot found through testing.
This repo provides the Standard tier only. Lynote.ai combines Standard + Advanced + Focus tiers and automatically selects the best approach for each text passage.