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lyrcs.ai supports 48 languages across two tiers. Indian languages have additional quality layers not present for global languages.

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Indian languages — enhanced accuracy

All 30 Indian languages benefit from:
  • Language-specific prompt layers — additional context and instructions tuned for each language’s linguistic characteristics, script conventions, and common lyric patterns
  • Correction dictionaries — post-processing filters for common transcription errors specific to each language
  • Transliteration standards — romanisation follows consistent, widely-understood conventions (e.g. ITRANS-style for Hindi/Sanskrit, ISO 15919 influenced for Dravidian languages)
Indian languages include all 22 of India’s officially scheduled languages plus additional widely-spoken regional languages.

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Global languages

The 18 global languages use the base transcription pipeline without language-specific correction layers. Quality is high for well-resourced languages (English, Spanish, French, Mandarin Chinese) and good for others.

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Full language table

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Indian Languages — 30

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Global Languages — 18

The script field is not returned by GET /api/v1/languages — only name and family. The script column above is for reference only. The transcript output uses whatever script the audio contains, as recognised by the model.

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Using language values

Always use the exact name strings from GET /api/v1/languages. Values are case-sensitive.

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Known limitations

  • WAV/FLAC duration reporting: Audio submitted as WAV or FLAC may show duration_seconds: 0 in job responses. This is a metadata extraction issue and does not affect transcript or alignment quality.
  • Script variation: For languages with multiple scripts (e.g. Kashmiri in Perso-Arabic vs Devanagari), the output script is determined by what the model detects in the audio and context. If you need a specific script, contact support@lyrcs.ai.