影音創作

From recording to publish: use AI to denoise, edit, transcribe, and make covers

Raw audio is noisy and long — use AI to remove background noise, cut filler and slips, auto-generate a transcript and show notes, and finally make a cover image, completing publishing end to end.

  1. 1. Import audio and clear noise

    Drop the recording into an Adobe-grade denoiser to remove AC hum, echo, and ambient noise in one click for clean, clear vocals — the first hurdle for whether listeners keep their headphones on.

  2. 2. Edit via transcript

    In Descript, turn the audio into a transcript and, like editing a document, delete filler, stutters, and off-topic parts, even removing all "um, and then" in one click — far faster than dragging waveforms.

  3. 3. Generate a full transcript and key summary

    Use Fireflies or Otter to produce a high-accuracy Chinese transcript, then have Claude condense it into a three-part show summary and 5 quotable lines for show notes and social use.

  4. 4. Write show notes and a chapter timeline

    Feed the transcript to ChatGPT and ask for an SEO-friendly episode title, a 150-word summary, chapter timestamps, and a list of mentioned links — paste into your podcast platform for a complete episode page.

  5. 5. Design the episode cover

    Use Canva's podcast-cover template, or Ideogram to generate a key visual with title text, keeping a consistent look across the season so the show is recognizable at a glance in the Spotify list.

FAQ

Will AI denoising make vocals sound electronic?

Turning the strength all the way up does cause distortion. Set denoising to medium first, keep some natural room feel, then listen segment by segment with headphones and dial back if the vocals sound too metallic.

Is Chinese transcript accuracy good enough?

Mainstream tools reach about 80-90% on Chinese, but proper nouns, names, and mixed-in Taiwanese still need human proofreading. Having AI draft it then spending ten minutes fixing is far faster than typing from scratch.