
During January 2025, work focused on developing an end-to-end audio and video transcription feature for the NDLANO/backend repository. This involved implementing backend endpoints using Scala and TypeScript to extract audio from video files, initiate and monitor transcription jobs, and integrate with AWS Transcribe and the Brightcove API. The solution automated the generation of captions for both audio and video content, enhancing accessibility and streamlining content processing workflows. By leveraging skills in API development, audio processing, and video processing, the work improved the repository’s readiness for accessibility requirements and enabled more efficient handling of multimedia content within the platform.
Month: 2025-01 – NDLANO/backend: Delivered Audio and Video Transcription Feature enabling automated transcription for audio/video content. Implemented endpoints to extract audio from videos, start and monitor transcription jobs for video and audio files, and integrated AWS Transcribe and Brightcove to improve accessibility and content processing.
Month: 2025-01 – NDLANO/backend: Delivered Audio and Video Transcription Feature enabling automated transcription for audio/video content. Implemented endpoints to extract audio from videos, start and monitor transcription jobs for video and audio files, and integrated AWS Transcribe and Brightcove to improve accessibility and content processing.

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