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How to rewrite an AI-drafted email offline before sending it with Humanizer Local Model

Paste an AI-written email into a local app and get a version that reads like a person wrote it.

Authorization notice. Humanizer Local Model is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn office worker or student who has an AI-drafted email that sounds generic and does not want to send a draft that reads as machine-written.

The problemAI drafts often sound stiff or templated, and the sender has to rewrite them by hand without losing the facts.

The outcomeA rewritten email with new wording highlighted and replaced wording struck through, produced on your own computer after a one-time model download.

What you need first

  • A Mac with Apple silicon (M1 or newer) or a Windows x64 PC, for the app
  • Enough free disk space and memory for the model; the app suggests a size for your machine, down to 8 GB machines
  • Python 3.8 or newer for the hz command line tool
  • llama.cpp (llama-server), curl and jq for the one-command server route

Steps

  1. Download the app for your computer from the Quick start section: the Mac (Apple silicon) .dmg or the Windows x64 setup .exe.
  2. Open the app. Expect a first-launch warning, since the app is not code-signed yet; the one-time fix is in docs/INSTALL.md.
  3. Let the app download the suggested model size once from Hugging Face. After that it works offline.
  4. Paste the email draft on the left. Read the rewrite on the right.
  5. Check every number, date and name against the original before you copy the rewrite into your mail client.

Prompt for your agent

Using the sgaofen/humanizer-local-model repo, install the app for this machine and rewrite the email draft at <path-to-draft.txt> with the app. Expected output: the rewritten email text. Verify that every number, date and name in the draft also appears unchanged in the rewrite.

Caveat. The README says the model still changes details in some rewrites, so check numbers, dates and names before sending.

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