fabrcore-transcription

What problem does it solve?

Transcribing audio files into text is essential for making meetings, podcasts, and recordings searchable and actionable, but building reliable transcription pipelines requires integrating cloud AI, SDK management, chunking, and error handling.

Core Features & Use Cases

• Azure OpenAI transcription: use gpt-4o-mini-transcribe or gpt-4o-transcribe for accurate transcripts.
• File and stream inputs: support transcribing from file paths, streams, or batches of chunks.
• Language and prompts: option to specify language hints and prompts to guide domain-specific vocabulary.
• DI and deployment: demonstrates DI registration and .NET client usage in real apps.
• Use Case: Transform board meeting recordings into searchable transcripts for minutes and action items.

Quick Start

Transcribe an audio file using the configured Azure OpenAI deployment and print the resulting text.