Designed for long context
Chunking makes large videos practical to process without losing the shape of the original conversation.
AI Systems · 2025
Long-form video, compressed into insight
The system processes a source video end to end: it extracts audio, transcribes it through Azure Speech Services / Whisper, chunks large inputs efficiently, and calls Azure OpenAI to produce concise summaries. The project is packaged with Docker for repeatable delivery.
The outcome
Azure OpenAI + Whisper pipeline
The building blocks
Chunking makes large videos practical to process without losing the shape of the original conversation.
Transcription and language translation create a bridge between spoken content and a reader’s usable summary.
Containerized packaging and a clear service configuration keep deployment concerns part of the build.