Voices without borders

Make your podcasts & interviews speak Chinese (Traditional)

Upload podcasts & interviews; AI generates Chinese (Traditional) subtitles and natural Chinese (Traditional) dubbing — publish-ready in minutes.

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Tuned for speech: auto speaker separation, filler removal, and clean subtitle/dubbed outputs ready to publish.

Focused on localizing podcasts & interviews into Chinese (Traditional) () — reaching East & Southeast Asia audiences and search traffic, publish-ready in minutes.

How it works

  1. 1

    Import media

    Upload interview audio/video or paste a platform link.

  2. 2

    Speaker-separated transcript

    Speakers are separated and labeled, even for long audio.

  3. 3

    Translate & dub

    Translate to the Chinese (Traditional) and generate natural dubbing that keeps the rhythm.

  4. 4

    Distribute anywhere

    Export subtitles and masters for video, podcast and search indexing.

FAQ

Can multiple speakers be told apart?

Yes — speaker diarization labels each voice in the transcript.

Is long audio expensive?

Priced per audio minute, so even long interviews stay reasonable.

Does it improve discoverability?

Subtitle text is indexable, greatly boosting spoken content in search.

How do I turn a long interview into multilingual subtitles?

Upload the audio; speaker diarization and transcription run automatically, then translate to subtitles and dubbing — priced per minute.

Does podcast translation improve search visibility?

Yes. Indexable subtitle text makes spoken content discoverable on Bing/Google, boosting visibility.

How do I translate podcasts & interviews into Chinese (Traditional) with dubbing?

Upload podcasts & interviews, pick Chinese (Traditional) as the target language and voice; AI transcribes and produces Chinese (Traditional) subtitles and natural Chinese (Traditional) dubbing in minutes.

Is translating podcasts & interviews into Chinese (Traditional) free?

New users get free minutes — try one podcasts & interviews into Chinese (Traditional) before scaling.

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