Manual transcription eats your week
A 60-minute episode can take 4+ hours to transcribe by hand, stealing time from producing the next show.
Turn every episode into searchable, shareable, and translatable content. Unlimited transcription, speaker diarization, AI audio repair, and 134+ language subtitles built for podcast production.
Common pain points for Podcast Producer
A 60-minute episode can take 4+ hours to transcribe by hand, stealing time from producing the next show.
When hosts, co-hosts, and guests talk over each other, it's hard to tell who said what in the final transcript.
Writing summaries, picking timestamps, and formatting chapters eats into your production schedule.
Audiences in other languages want subtitles, but human translation is too slow and expensive for weekly shows.
Capabilities that map directly to your workflow
Automatically label hosts, co-hosts, and guests. Each segment is timestamped and attributed.
Batch upload entire RSS feeds or YouTube histories — long episodes process in one go.
Background noise, echo, and distortion from remote guest calls cleaned up before transcription for higher accuracy.
Translate episodes into subtitles for major global markets in one click.
Generate summaries and timestamped chapter marks ready to paste into your episode description.
Paste a YouTube link or RSS feed to transcribe published episodes without re-uploading files.
Outcomes that translate into real time saved
Real stories from professionals in your field
WuZhiZuo turned my 4-hour transcription ritual into a 10-minute task. The speaker diarization is shockingly accurate with three co-hosts.
Show notes and chapters used to eat my Friday nights. Now they're done before I finish my coffee.
I publish in Japanese and English. WuZhiZuo's translation lets me ship both subtitle tracks without hiring a translator.
Answers to the questions your peers ask most
In typical remote recording conditions, accuracy exceeds 95%. For overlapping speech or heavy background noise, run AI audio repair first to boost diarization accuracy by 5-10%.
Yes. You can batch upload an entire RSS feed or YouTube history and transcribe episodes in parallel.
Yes. Files up to 10 hours are supported — long-form interviews, sportscasts, and live streams transcribe end-to-end in a single run.
Yes. Export SRT, VTT, and chapter markers compatible with Apple Podcasts, Spotify, YouTube, and most podcast hosts.
Yes. AI audio repair removes background noise and echo from remote calls before transcription, dramatically improving accuracy on Riverside, Squadcast, and Zoom recordings.
Turn every episode into searchable, shareable, and translatable content. Unlimited transcription, speaker diarization, AI audio repair, and 134+ language subtitles built for podcast production.