Start by separating the conversation from the document
A ChatGPT document often arrives as a useful draft wrapped in conversation: user prompts, assistant prefaces, apologies, outline notes, repeated setup, and lines like here is the polished version. That material helps during drafting, but it does not belong in the finished book file.
In Awtter, you can import the draft, keep the useful prose, and review cleanup candidates before they touch the document. That keeps the process controlled instead of turning cleanup into another blind rewrite.
Remove role labels and AI prefaces first
Look for repeated role labels such as User, Assistant, ChatGPT, Claude, or Gemini. Then remove helper phrases such as of course, here is a draft, in this chapter, or let me know if you want changes. These lines are easy to miss because they can look harmless in a long pasted transcript.
Awtter's manual cleanup tools are built for this pass: find and replace handles exact labels, paragraph cleanup handles repeated filler, and block cleanup handles larger chunks of prompt-and-answer residue.
Keep the author's voice intact
Cleaning a ChatGPT document should not mean asking another AI model to rewrite the whole chapter. The safer workflow is to remove obvious non-document residue, preview every change, and leave the actual prose under human control.
That matters for fiction, memoir, non-fiction, and ghostwritten projects because the goal is a cleaner draft, not a new voice. Saved cleanup presets help repeat the same checks across chapters without changing your standards each time.
Organize the cleaned draft before export
After cleanup, split the draft into sections that match the book: front matter, chapters, scenes, notes, and back matter. A single long pasted file is harder to revise and easier to export incorrectly.
Once the document is organized, the Binder, metadata, snapshots, and export readiness checklist make it easier to see what will ship and what stays private in the project.