🇵🇰 Vibe Transcribe + Urdu
Vibe supports Urdu (اردو) for desktop transcription using Whisper models. This page summarizes practical tips—especially model choice and language settings—for cleaner transcripts.
How to transcribe Urdu with Vibe
- Install Vibe from the download page.
- Download a multilingual Whisper model sized for your computer—often Large is a good anchor.
- Set language to
urfor more consistent results than auto-detect. - Import your file (or use supported URL flows if you use them).
- Export to SRT, TXT, DOCX, or another format you need.
Accuracy notes
Urdu uses Nastaliq script and shares spoken similarity with Hindi. Vibe outputs Urdu in its native Arabic-derived script. The Large model is strongly recommended for Urdu as smaller models frequently switch to Hindi or produce incorrect script. Set language explicitly to 'ur' rather than auto-detect.
Large model: approximately 12–18% WER. One of the more challenging languages for Whisper due to script complexity and limited training data.
Common use cases
Transcribe Pakistani news channels, Urdu drama serials, speeches, and voice messages.
Other languages
🇮🇳 Hindi 🇨🇳 Chinese (Mandarin) 🇪🇸 Spanish 🇸🇦 Arabic 🇫🇷 French 🇧🇩 Bengali 🇷🇺 Russian 🇧🇷 Portuguese 🇮🇳 Marathi 🇮🇳 Punjabi
Related
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Free downloadFrequently asked questions
Can Vibe Transcribe transcribe Urdu audio?
Yes. Vibe supports Urdu (language code: ur) using multilingual Whisper. For best results, choose the Large model when possible and set the language to "ur" instead of relying on auto-detect.
Which Whisper model is best for Urdu?
Start from the project guidance for Urdu: Large. Large model: approximately 12–18% WER. One of the more challenging languages for Whisper due to script complexity and limited training data.
Can Vibe translate Urdu audio to English?
Yes—in Vibe, switch the task to translate (instead of transcribe) when you want English output from Urdu audio. Quality varies by accent, noise, and model size.
Is Vibe free for Urdu?
Yes. Language support is not sold as separate packs in the open-source app model described on this site.