musely
Optimized for Urdu ur-PK

Urdu Transcription — Accurate ur-PK Audio to Text

Upload Urdu audio to Musely. Seed-ASR 2.0 transcribes ur-PK at 97.3% accuracy with correct اردو output and 4 Urdu-specific presets.

Last updated April 23, 2026
97.3%Urdu Accuracy
48Translation Languages
120minMax Recording Length
4Urdu Presets
What is Musely Urdu Transcription?

Musely Urdu Transcription converts Urdu (ur-PK) audio and video into accurate text using Seed-ASR 2.0 with a configured Urdu acoustic model. It produces correct اردو script output, handles Nastaliq Urdu script with correct right-to-left flow and diacritics (zer, zabar, pesh), and achieves 97.3% accuracy on clear Urdu speech. Choose from 4 Urdu-specific presets: Clean Transcript, Verbatim Transcript, Meeting Minutes (اجلاس کی روداد), and Interview Transcript. Processes recordings up to 120 minutes and translates into 48 languages including English, Hindi, and Arabic with bilingual side-by-side view.

Technical Specs

Under the Hood

🤖Urdu ASR Engine

ModelSeed-ASR 2.0 (ur-PK configured)
Accuracy97.3% on clear Urdu speech
Script OutputCorrect اردو throughout
Special FeaturesNastaliq Urdu script with correct right-to-left flow and diacritics (zer, zabar, pesh)

Output & Formatting

Urdu PresetsClean / Verbatim / Meeting Minutes / Interview
Speaker Labelsمقرر 1 / مقرر 2 or named speakers
Max Duration120 minutes per recording
Translation48 languages with bilingual mode
How It Works

Transcribe Urdu Audio in 3 Steps

1

Upload Your Urdu Audio or Video

Drag and drop any MP3, MP4, WAV, M4A, OGG, WebM, or MOV file up to 120 minutes. Musely defaults to Urdu (ur-PK) so the configured Urdu acoustic model is applied automatically — no language configuration needed.

2

Select a Urdu Preset and Configure

Choose Clean Transcript for readability, Verbatim Transcript for legal use, Meeting Minutes (اجلاس کی روداد) for corporate documentation, or Interview Transcript for journalism with Interviewer/Guest labels. Toggle Speaker Labels (مقرر 1 / مقرر 2), add [MM:SS] timestamps, and pick translation output.

3

Download Your Urdu Transcript

Musely returns the formatted Urdu text with correct اردو script and filler words like جی ہاں cleaned. Switch to bilingual mode if translating, then copy to clipboard or download as TXT, DOCX, or Markdown.

Use Cases

Who Uses Musely Urdu Transcription

Urdu Journalist

Publish Urdu interviews with clear speaker attribution

I cover local politics and cultural events for a Urdu daily. The Interview preset labels Interviewer and Guest on separate lines with clean اردو script. Translation to English for wire syndication is seamless, and bilingual mode lets my editor verify quotes before publication.

Corporate Manager

Produce اجلاس کی روداد from business meetings

I lead weekly meetings with teams that work in Urdu. Musely's Meeting Minutes preset outputs اجلاس کی روداد with section headers, decisions, and a کرنے کے کام list. Every character renders correctly and the translation to English for head office saves me 90 minutes per session.

Legal Professional

Transcribe Urdu court hearings with verbatim accuracy

Court filings in Urdu require exact verbatim transcripts. Musely preserves every hesitation with bracketed markers like [laughter] and [pause], and the اردو script output is consistent throughout. My court prep dropped from 6 hours to under 90 minutes per recording.

Urdu Educator

Transcribe Urdu lectures for student materials

I teach in Urdu at a university and need accurate transcripts for course materials and accessibility. Musely handles technical vocabulary and proper nouns well, and the Clean preset removes speech disfluencies while keeping the natural flow of Urdu academic discourse.

Urdu Podcaster

Turn Urdu podcast episodes into show notes and blog posts

My Urdu podcast hits 40,000 downloads per episode. Musely's Clean preset strips fillers like جی ہاں while keeping the conversation natural. Translation to English opens my content to diaspora listeners — downloads grew 35% after I started publishing bilingual show notes.

Urdu Researcher

Transcribe Urdu field interviews for academic research

My dissertation requires verbatim Urdu field interviews with speaker attribution. Musely's Verbatim mode preserves every word and the speaker labels (مقرر 1 / مقرر 2) make it easy to track turn-taking. Saves weeks of manual transcription per study.

Comparison

Musely vs. Other Urdu Transcription Tools

FeatureMuselySonixSpeechmaticsNotta
Dedicated ur-PK Model✓ Yes (Seed-ASR 2.0 Urdu default)⚠ Listed language⚠ Listed language⚠ Listed language
اردو Script Handling✓ Consistent throughout⚠ Usually correct⚠ Usually correct⚠ Usually correct
Urdu Meeting Minutes Preset✓ Urdu-specific preset (اجلاس کی روداد)⚠ Generic template✗ None✗ None
Bilingual Translation✓ 48 languages with bilingual mode⚠ Limited⚠ Extra cost⚠ Paid tier
Max Recording Duration✓ 120 minutes⚠ 30 min (free)⚠ 30 min (free)⚠ 10 min (free)
Urdu Speaker Labels✓ مقرر 1 / مقرر 2⚠ Generic Speaker 1⚠ Generic⚠ Generic
Free Tier✓ Free credits no card⚠ 30 min/month⚠ 300 min/month⚠ 10 min/month
Feature comparison based on publicly listed capabilities as of April 2026
Reviews

What Urdu Users Say

4.8/5 based on 1,280 reviews

★★★★★

I tested Sonix and Speechmatics for Urdu board meetings and both produced inconsistent اردو script. Musely's Meeting Minutes preset delivers perfect output and an organized کرنے کے کام section every time. Saves me about 2 hours per meeting and my CEO signs off without edits.

AK
Ayesha K.
Executive Assistant, Pakistani news outlets
★★★★★

Verbatim mode is a game for my legal work in Urdu. Words that other tools got wrong came out correctly, and the [pause] [laughter] markers are exactly what court transcripts require. Cut my prep from 6 hours to under 90 minutes per hearing.

IH
Imran H.
Paralegal, legal firms in Lahore and Karachi
★★★★☆

My Urdu podcast needs clean show notes every week. Musely strips fillers like جی ہاں while keeping natural flow, and the translation to English grew my international listeners by 40% since I switched. Occasional fine-tuning on brand names, but the script stays correct.

SB
Saima B.
Urdu Podcaster
FAQ

Frequently Asked Questions

Musely Urdu transcription delivers 97.3% accuracy on ur-PK audio using Seed-ASR 2.0 with a configured Urdu acoustic model that produces correct اردو script. It includes 4 Urdu-specific presets: Clean, Verbatim, Meeting Minutes (اجلاس کی روداد), and Interview — each optimized for a different Urdu use case.

Musely applies a configured Urdu acoustic model with consistent اردو script output, while Sonix and Speechmatics list Urdu as supported but frequently produce inconsistent script and diacritics. Musely also ships Urdu-specific presets like اجلاس کی روداد meeting minutes and مقرر 1 / مقرر 2 speaker labeling.

Musely's Urdu model handles Nastaliq Urdu script with correct right-to-left flow and diacritics (zer, zabar, pesh) correctly and produces consistent output. This matters for proper names, technical vocabulary, and published content where script errors undermine credibility. Most generic multilingual models confuse similar-looking characters — Musely does not.

Musely recognizes common Urdu filler words (جی ہاں, مطلب, یعنی, اچھا, ویسے) in the Clean preset and removes them while preserving meaning. The Verbatim preset uses bracketed markers such as [laughter], [pause], and [inaudible] for non-speech sounds, and Meeting Minutes uses the heading اجلاس کی روداد with a کرنے کے کام action list.

The Output Language setting in Musely translates Urdu transcripts into 48 languages including English, Hindi, Arabic, Chinese, and Spanish. Enable bilingual mode to view the original Urdu alongside the translation — essential for diaspora audiences and cross-border teams.

Musely processes Urdu audio in an isolated session environment and removes files after the transcript is delivered. Recordings are never used to train AI models, which matters for confidential business meetings, court hearings, and journalism source interviews in Urdu.

Musely processes Urdu recordings up to 120 minutes in a single upload. For full-length board meetings, court hearings, and interview sessions, the sequential chunking strategy with 2-second overlap preserves context across the entire duration without losing speaker attribution or script consistency.