
Journalists, podcasters and researchers use it after recording when a rough transcript must become comfortable to read and share.
Strip filler words and restore paragraphs. You get practical output without creating an account or sending your input elsewhere.
The sample contains hesitations such as um and uh plus repeated words. After cleaning, look at how the text becomes easier to read and where paragraphs appear. Then review the urban gardening passages to confirm that the original meaning is still there.
Input
So, um, today we are talking about, uh, urban gardening. You know, we will see how, like, to grow plants on a balcony. It is simple, right.Cleaning happens in your browser. The transcript stays on your device and is not sent to any outside service. You can compare the original with the result, then clear both fields when you are done.
It mainly targets filler words and paragraph breaks. Spelling, grammar and transcription mistakes still need to be checked through human review.
The workflow is not limited to one language, but the result depends on the fillers present and the text quality. Review carefully if the transcript mixes several languages.
Restore that passage from the original or run cleaning again after making the sentence clearer. Always keep a copy of the raw transcript before editing it.