Rewrite Text in a Different Tone
Convert any text to a different tone while preserving meaning and key information.
This prompt converts a piece of writing to a different tone while explicitly forbidding the model from changing what the text actually says. It works because it separates tone (word choice, sentence length, contractions, greeting and signoff formality) from meaning, which stops the AI from quietly editorializing or dropping details. Use it when the substance is already right but the register is wrong for the new context, such as turning a terse internal note into a polished client message.
Rewrite the text below in a [TARGET TONE: e.g. casual / formal / friendly / urgent / professional] tone. Preserve all factual content and meaning. Adjust: word choice, sentence length, contractions, formality of greeting and signoff. Return only the rewritten text. ORIGINAL TEXT: [PASTE TEXT]
What you can expect back
Hi Jordan, The deck is ready and I've just sent it over for your review. Please note that the figures on slide 4 have been updated since last week, so those are worth a closer look. Let me know if everything looks good or if you'd like any changes. Best, Alex
Illustrative example — your results will vary by tool and inputs.
Get sharper results
- 01Name the audience alongside the tone (e.g. 'formal, for a board of directors') because the same label means different things to different readers.
- 02If the rewrite drifts in meaning, re-run with 'do not add, remove, or soften any factual claim' added to reinforce the constraint.
- 03For tricky shifts like casual-to-formal, ask for two versions at slightly different intensities so you can pick the one that doesn't overshoot into stiffness.
- 04The 'return only the rewritten text' instruction keeps the output paste-ready, but drop it temporarily if you want the model to flag any sentence whose meaning it was unsure how to preserve.
- 05When converting to 'urgent,' specify whether urgency should come from word choice alone or also from restructuring (leading with the ask), since those produce very different emails.
Adapt it for your case
Replace the tone label with 'the same tone as this sample:' and paste a reference message you want to mimic.
Add 'output in [language], using the formality conventions natural to that language' for cross-lingual register shifts like German Sie/du.
Append 'and reduce length by about 30% without losing facts' when the original is both wrongly toned and too long.
Common questions
Will it change the facts or numbers in my text?
It shouldn't; the prompt explicitly tells the model to preserve all factual content, but always skim the output for accuracy since AI can occasionally rephrase a number or claim incorrectly.
Can I do several tones at once to compare?
Yes; ask it to 'produce three versions: casual, professional, and formal' and label each, which is handy when you're unsure which register fits.
What if my text has jargon I want kept?
Add 'keep these terms exactly as written: [list]' so the tone shift doesn't translate technical terms into plainer but less precise language.
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