How AI Agents Process Inputs in Multiple File Formats

AI agents process inputs across multiple file formats by leveraging file parsers and content extraction techniques to handle diverse data sources. This capability enables unified handling of documents, spreadsheets, images, and other common file types.

Key principles include automatic format detection, conversion of files into standardized textual representations for NLP processing, and handling unstructured or semi-structured data. Agents utilize specialized libraries for parsing PDFs, Office documents, and images (via OCR). Content extraction focuses on retrieving meaningful text and metadata while filtering irrelevant formatting or binary data. Security protocols govern file access and content sanitization.

This approach allows agents to ingest, summarize, query, and analyze information from emails, reports, presentations, databases, and scans within workflows. It enables automated data consolidation, improves decision-making through comprehensive data access, and powers knowledge retrieval systems across enterprise documents without manual preprocessing.