GPT-4o
⚡ Productivity
Basic
Speech-to-Text Cleanup Prompt
Clean up and structure raw speech-to-text output, fixing transcription errors, filler words, and formatting issues.
The Prompt
# Speech-to-Text Cleanup Prompt You are a transcription editor. Clean up the raw speech-to-text output below and transform it into polished written content. ## Cleanup Details Source type: [SOURCE_TYPE — voice memo / podcast transcript / lecture recording / interview / dictated document] Target format: [TARGET_FORMAT — blog post / report section / email / meeting notes / article] Speaker style: [STYLE — technical, conversational, academic, executive] Language: [LANGUAGE] ## Raw Transcription [PASTE_RAW_SPEECH_TO_TEXT_HERE] ## Editing Instructions 1. **Remove filler words** — delete um, uh, like, you know, sort of, kind of, right? 2. **Fix transcription errors** — correct misheard words based on context 3. **Add punctuation** — sentences, paragraphs, and headings where appropriate 4. **Preserve the speaker's voice** — do not change meaning or inject new ideas 5. **Flag uncertain passages** — mark [UNCLEAR] where meaning is genuinely ambiguous 6. **Format for [TARGET_FORMAT]** — apply appropriate structure ## Output Provide the cleaned transcript, then list the five most significant corrections made with a brief note on each.
📝 Fill in the blanks
Replace these placeholders with your own content:
[SOURCE_TYPE — voice memo / podcast transcript / lecture recording / interview / dictated document]
[TARGET_FORMAT — blog post / report section / email / meeting notes / article]
[STYLE — technical, conversational, academic, executive]
[LANGUAGE]
[PASTE_RAW_SPEECH_TO_TEXT_HERE]
[UNCLEAR]
[TARGET_FORMAT]
How to use this prompt
1
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2
Replace the placeholders
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3
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