Clean up the writing, then review it
Cleanup works after speech recognition. It can help with punctuation, repeated phrasing and the difference between speaking and writing. AI can still misinterpret a correction or change a detail, so read the result before using it.
A small example
Spoken example: “Hi Alex, um, could we move the review to Friday? I need one more day for the figures.”
Illustrative cleaned draft: “Hi Alex, could we move the review to Friday? I need one more day for the figures.”
The aim is a useful draft that keeps the request intact. Exact results depend on the recording and selected settings; this is not a recorded product benchmark.
Review and edit the prepared text
The current desktop workflow includes text cleanup after recognition. Read the result in its destination field and adjust wording yourself before sending or saving. Use short passages when names, numbers or corrections need close attention.
Give specialist words a better starting point
If the same name or technical term repeatedly needs correction, add it to your personal dictionary. A dictionary entry addresses recurring vocabulary; cleanup addresses the readability of a passage. They serve different jobs.
Editing is different from translation
Cleanup is instructed to keep the language of the recognized text, including the boundaries of mixed-language passages. It should not translate a sentence just because the interface uses another language. Check names, code and any words that switch languages; this processing rule is not a guarantee of recognition accuracy.