azure-ai-contentunderstanding-py

Extracting text and tables from scanned PDF invoices is achieved by using multimodal content extraction via the Azure AI Content Understanding SDK. This process retrieves structured data from unstructured documents, making invoice details readily usable for automated workflows.

Yes, transcribing audio files for searchable content is supported by Azure AI. The Content Understanding SDK provides audio transcription capabilities to extract semantic content, enabling searchable text retrieval from audio formats for downstream retrieval workflows.

Analyzing video frames for key events is best handled through multimodal video analysis. The Azure AI Content Understanding SDK extracts keyframes and semantic content from video, allowing you to identify significant events within a unified automated workflow.

Multimodal content extraction does support custom analyzers for specialized data retrieval. You can configure custom analyzers alongside prebuilt ones to extract specific semantic content from documents, images, audio, and video for RAG applications.

Using extracted multimodal content for RAG applications involves retrieving semantic content from documents, audio, and video using the Azure AI SDK. This facilitates RAG applications by providing structured multimodal content extraction capabilities for automated workflows.