Hindi and Hinglish podcast clips, captioned in the script you choose

Hindi podcasts are rarely all Hindi. Speakers move into English mid-sentence, and that mix is where captions usually go wrong: a transcript that assumes one language garbles the other, and a translated caption no longer matches what was said. CLPX listens for the mix, keeps both languages in the transcript, and writes captions in the script you choose: Roman, the way Hinglish is usually typed, or native Devanagari. Then it cuts vertical clips framed on the speaker.

Updated

Roman or Devanagari captions

Choose the caption script in Brand settings. Roman script, the default, suits audiences who read Hinglish the way they type it. Devanagari suits audiences who read Hindi natively. The choice applies to every clip in that workspace, so one client's clips can be Roman and another's native.

Everything else works the same

  • 9:16 framing that follows whoever is speaking, which matters for two- and three-person podcast setups.
  • The same 6 caption styles and 12 colour palettes as English clips, timed to each word.
  • The same posting, to TikTok, Instagram, YouTube, LinkedIn, X, Threads, Facebook and Pinterest, with a different version of the clip on each account.
  • The same channel watching: add the show's YouTube channel or RSS feed and each new episode is clipped within minutes of release.

Other languages

Captions work in 27 spoken languages, detected automatically. CLPX is built English first. Hindi and Hinglish are the mixed-language case it handles specifically, and the same Roman-or-native choice covers several other Indian languages.

Questions

Can it caption Hinglish in English letters?

Yes. Choose Roman script and captions are written the way Hinglish is usually typed.

Can it caption in Devanagari?

Yes. Choose native script in Brand settings.

What if the speaker switches languages mid-sentence?

CLPX expects it. The transcript keeps both languages rather than forcing the clip into one.

Which other languages are supported?

27 spoken languages, detected automatically. English is the primary language.