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AI Video-to-Data Pipeline

Automated Video Processing System โ€” fully automated, cloud-native pipeline on Azure that transforms unstructured videos into structured, queryable datasets for analytics and decision-making.

AI Video-to-Data Pipeline project screenshot

The Challenge

Raw videos contained valuable product information, but extracting and making this data searchable at scale was impossible without manual processing. The client needed an automated system to convert unstructured video content into structured data.

The Solution

Developed a fully automated, cloud-native pipeline on Azure with AI-powered content moderation, custom TensorFlow models, OCR extraction, and a LangGraph-powered LLM agent to synthesize all data into structured JSON.

Implementation

Processing Pipeline

Automated keyframe and audio extraction; Azure AI Content Safety moderation; custom TensorFlow attribute prediction; OCR text extraction; LangGraph LLM synthesis into structured JSON

Production Infrastructure

Containerized with Docker; CI/CD via GitHub Actions; PostgreSQL for queryable storage; scalable Azure cloud deployment

Key Outcomes

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Automation

Zero manual video processing required

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Searchability

Unstructured media converted to fully queryable datasets

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Analytics

Enabled downstream reporting and business intelligence

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Scalability

Production-ready system handling growing video volumes

Technology & Stack

AzureTensorFlowLangGraphPostgreSQLDockerGitHub ActionsPython