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Updated: May 2026 6 min read

🇮🇳 Vibe Transcribe + Marathi

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

Language
Marathi
Suggested model
Large
Speakers (approx.)
95 million
Regions
India (Maharashtra)

How to transcribe Marathi 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 mr 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

Marathi uses Devanagari script like Hindi and outputs correctly in Vibe. The Large model is recommended as smaller models may confuse Marathi with Hindi in auto-detect mode. Always specify language as 'mr' explicitly. Works best with clear, studio-quality audio from standard Pune or Mumbai Marathi speakers.

Large model: approximately 12–16% WER on clear Marathi speech.

Common use cases

Transcribe Marathi news, lectures, political speeches, and entertainment content.

Other languages

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

Related

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Frequently asked questions

Can Vibe Transcribe transcribe Marathi audio?

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

Which Whisper model is best for Marathi?

Start from the project guidance for Marathi: Large. Large model: approximately 12–16% WER on clear Marathi speech.

Can Vibe translate Marathi audio to English?

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

Is Vibe free for Marathi?

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