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Updated: May 2026 6 min read

🇮🇳 Vibe Transcribe + Telugu

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

Language
Telugu
Suggested model
Large
Speakers (approx.)
96 million
Regions
India (Andhra Pradesh, Telangana)

How to transcribe Telugu 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 te 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

Telugu uses its own unique script and is one of South India's major Dravidian languages. The Large model is required for acceptable accuracy. Whisper's Telugu performance has improved with recent model versions. Works best with standard formal Telugu rather than regional dialects.

Large model: approximately 12–17% WER on clear formal Telugu speech.

Common use cases

Transcribe Telugu films, news broadcasts, Tollywood interviews, and educational content.

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 Telugu audio?

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

Which Whisper model is best for Telugu?

Start from the project guidance for Telugu: Large. Large model: approximately 12–17% WER on clear formal Telugu speech.

Can Vibe translate Telugu audio to English?

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

Is Vibe free for Telugu?

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