Dictation With AI Cleanup: Polish, Summarize, or Translate Your Speech
Dictation with AI cleanup starts with a transcript and then applies an instruction to it. Choose the output before you speak. Ask for light cleanup when you want to keep your wording, a summary when you want decisions and actions, or a translation when the reader uses another language. Keep a copy of the original for details you may need to check.
Try three outputs from the same spoken note
Try this example: “The Friday test is still tentative. Mei can prepare the Spanish draft if the final numbers arrive Thursday. Please keep version seven internal.”
| What you need | Instruction to try | Check in the result |
|---|---|---|
| A cleaner version of your words | Add punctuation and remove repeated starts. Keep the wording, names, and conditions. | Friday remains tentative. Version seven stays internal. |
| A short voice-to-text summary | Use headings for status, next action, and open dependency. Include only details in the transcript. | The draft still depends on Thursday's numbers and the note keeps the internal-only restriction. |
| A voice-to-text translation | Translate into Spanish. Preserve names, dates, numbers, and uncertainty. Keep any unclear term in brackets. | The translation keeps the difference between “can prepare” and “will prepare.” |
An illustrative summary would read “Friday's test is tentative. Mei can prepare the Spanish draft if final numbers arrive Thursday. Keep version seven internal.”
For the translation, the second sentence could read “Mei puede preparar el borrador en español si las cifras definitivas llegan el jueves.” Check the words around the condition as well as the date. If you're sending a translation you can't confidently review, have someone who reads that language check it.
Find the stage that changed a detail
Dictate once in plain mode, then compare the cleaned result against it. If the plain version misheard “Mei” or “version seven,” fix the transcript or try another microphone or speech model. If only the rewritten version changes the detail, narrow its instruction and try again. Check high-stakes names and numbers against your own notes before sharing.
Choose where recognition and cleanup run
With a downloaded local speech model, recognition can run on your computer. An online language model may receive the transcript and cleanup instruction. For an offline workflow, use a configured local text model such as one running through Ollama, then test the whole process in a local editor after setup. Voconly scenario settings · Ollama local-only configuration
Voconly · Compare a plain transcript with your preferred output
Try one spoken note in a local editor. Then set up a cleanup, summary, or translation scenario and compare the two versions.