
Mayur Sirwani developed multilingual transcription functionality for the pipecat-ai/pipecat repository by integrating language detection into the ElevenLabsRealtimeSTTService. Using Python and backend development skills, Mayur enabled real-time transcription of audio in multiple languages, addressing the challenge of supporting global use cases and improving data capture for multilingual content. The implementation involved API integration and careful alignment with code review feedback, reflecting a focus on code quality and maintainability. By streamlining the language detection process within the existing STT pipeline, Mayur’s work reduced downstream translation requirements and laid the groundwork for broader internationalization in pipecat’s audio processing capabilities.
January 2026 - pipecat: Delivered multilingual transcription capability by adding language detection to ElevenLabsRealtimeSTTService, enabling real-time transcription across multiple languages within the existing STT pipeline. This unlocks global use cases, reduces downstream translation effort, and improves data capture quality for multilingual content. The work included addressing review feedback as part of a focused code quality effort (commit 4671102833390bcea871a2ff4a0dffd8ee2691d6).
January 2026 - pipecat: Delivered multilingual transcription capability by adding language detection to ElevenLabsRealtimeSTTService, enabling real-time transcription across multiple languages within the existing STT pipeline. This unlocks global use cases, reduces downstream translation effort, and improves data capture quality for multilingual content. The work included addressing review feedback as part of a focused code quality effort (commit 4671102833390bcea871a2ff4a0dffd8ee2691d6).

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