Music Transcription
Transcribe song lyrics from audio files. Extract words from music recordings with AI.
Why Use STT.ai for Music Transcription
Extract lyrics and spoken words from music recordings. STT.ai can transcribe vocals from songs, spoken-word tracks, and music with voice. Useful for lyric transcription, music analysis, and content creation.
Industry-leading accuracy
Choose from 10+ AI models to get the lowest word error rate for your music transcription audio. NVIDIA Canary achieves under 6% WER on clean recordings.
Speaker diarization built-in
Automatically identify who said what -- essential for music transcription recordings with multiple speakers. No extra setup needed.
Every export format you need
Download transcripts as TXT, SRT, VTT, DOCX, JSON, or PDF. Generate subtitles, meeting notes, or structured data from a single upload.
Free to start, scales with you
600 free minutes per month with no signup. When you need more, paid plans start at $8.33/mo with API access for automation.
How It Works for Music Transcription
1
Upload your music transcription audio
Drag and drop your recording in MP3, WAV, MP4, or 20+ other formats. You can also record live from your microphone or paste a URL from YouTube, Vimeo, or 1,300+ platforms.
2
AI transcribes your music transcription recording
Select your preferred model and language (or let us auto-detect). Enable speaker diarization if your music transcription recording has multiple speakers. Processing typically takes seconds to minutes.
3
Export your music transcription transcript
Download in your preferred format -- TXT for notes, SRT/VTT for subtitles, DOCX for documents, JSON for integrations. Share via link or use our API for automated workflows.
Export Formats for Music Transcription
Every transcript can be exported in the format that fits your music transcription workflow:
TXT
Clean plain text -- ideal for notes, searchable archives, and copy-paste
SRT / VTT
Timed subtitles for video platforms, social media, and accessibility
DOCX
Formatted Word document with speaker labels and timestamps
JSON
Structured data with word-level timestamps for developers and integrations
PDF
Print-ready document for sharing, filing, and formal records
Key Features for Music Transcription
Vocal Extraction
Focus on vocal content even with background music
Lyric Transcription
Get accurate lyrics from audio recordings
Multi-Language Lyrics
Transcribe lyrics in 100+ languages
Timestamp Alignment
Time-aligned lyrics for karaoke-style display
Ready to Get Started?
Try STT.ai free and see how AI transcription can help your workflow.
Get Started FreeFrequently Asked Questions
For Music Transcription, upload an audio or video file (or record live) and pick the model that best matches your accuracy and speed needs. The workflow is tuned to get accurate lyrics — and STT.ai's 600 free minutes/month cover most Music Transcription jobs without a paid plan.
For Music Transcription, STT.ai Enhanced or Whisper Large V3 give the best accuracy on long-form audio, while NVIDIA Canary is faster for short clips. All of them support the Music Transcription essentials: Vocal Extraction, Lyric Transcription, and Multi-Language Lyrics.
For most Music Transcription workflows our best models reach 93-95% accuracy on clean audio. The built-in transcript editor lets you fix the occasional misheard word and rename speakers before you export or publish.
Yes. Speaker diarization automatically labels each voice for Music Transcription (Speaker 1, Speaker 2, …) and you can rename them post-transcription. Works on every supported model.
For Music Transcription, DOCX and PDF are best for sharing, SRT/VTT when the content needs subtitles, and JSON when you want machine-readable timestamps. The right export is what helps you get accurate lyrics, create lyric videos, and analyze song content.
Yes. Music Transcription audio files are processed and deleted by default. Pro plans add client-side encryption — your Music Transcription transcripts are unreadable without your key, even to STT.ai. Private Cloud is available for fully self-hosted Music Transcription workflows.
Yes. Live transcription via WebSocket streaming works for Music Transcription — useful any time you need captions or notes as people speak rather than after the fact.
For Music Transcription, free users can transcribe files up to 1 hour each; paid plans extend that to 8+ hours per file, which covers most long-form Music Transcription recordings.
Yes. Word-level and sentence-level timestamps are included on every Music Transcription transcript and visible in the editor — useful for jumping to a moment, citing audio, or aligning subtitles.
Yes. STT.ai integrates with Slack, Zapier, WordPress, Chrome, MCP (for Claude / Cursor), and any custom workflow via our REST API. Most Music Transcription teams use two or three of these.
Yes — GDPR compliance is built into every Music Transcription workflow, with data deletion on demand and no training on your content unless you opt in. Pro plans add client-side encryption for an extra layer.
Yes. After transcribing Music Transcription audio, the subtitle-translator tool can translate the output into any of 100+ target languages — useful for international audiences or multilingual Music Transcription teams.
Free tier covers 600 minutes/month — enough for most Music Transcription workloads. Paid plans start at $5/month and unlock longer files, private transcripts, and priority queueing. API pricing is per-second with no overage fees.