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Updated: May 2026 6 min read

🇮🇳 Vibe Transcribe + Kannada

Vibe supports Kannada (ಕನ್ನಡ) for desktop transcription using Whisper models. This page summarizes practical tips—especially model choice and language settings—for cleaner transcripts.

Language
Kannada
Suggested model
Large
Speakers (approx.)
64 million
Regions
India (Karnataka)

How to transcribe Kannada with Vibe

  1. Install Vibe from the download page.
  2. Download a multilingual Whisper model sized for your computer—often Large is a good anchor.
  3. Set language to kn for more consistent results than auto-detect.
  4. Import your file (or use supported URL flows if you use them).
  5. Export to SRT, TXT, DOCX, or another format you need.

Accuracy notes

Kannada is a Dravidian language with its own script. Similar to Telugu, the Large model is required. Whisper's Kannada performance is reasonable for formal speech but drops significantly for casual Bengaluru urban Kannada which incorporates English and Hindi code-switching.

Large model: approximately 13–18% WER on formal Kannada speech.

Common use cases

Transcribe Kannada news, Sandalwood (Kannada cinema) content, educational lectures, and meetings.

Other languages

🇮🇳 Hindi 🇨🇳 Chinese (Mandarin) 🇪🇸 Spanish 🇸🇦 Arabic 🇫🇷 French 🇧🇩 Bengali 🇵🇰 Urdu 🇷🇺 Russian 🇧🇷 Portuguese 🇮🇳 Marathi

Related

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Frequently asked questions

Can Vibe Transcribe transcribe Kannada audio?

Yes. Vibe supports Kannada (language code: kn) using multilingual Whisper. For best results, choose the Large model when possible and set the language to "kn" instead of relying on auto-detect.

Which Whisper model is best for Kannada?

Start from the project guidance for Kannada: Large. Large model: approximately 13–18% WER on formal Kannada speech.

Can Vibe translate Kannada audio to English?

Yes—in Vibe, switch the task to translate (instead of transcribe) when you want English output from Kannada audio. Quality varies by accent, noise, and model size.

Is Vibe free for Kannada?

Yes. Language support is not sold as separate packs in the open-source app model described on this site.