Schema-Based Data Validation — Data Validation

Docling is a modular framework designed for document parsing, layout analysis, and structured data extraction. It transforms unstructured files and web content into a unified, hierarchical data model that preserves the spatial and semantic relationships between text, tables, images, and layout elements. By normalizing diverse input formats into a consistent internal representation, the library enables uniform processing across various document types. The project distinguishes itself through a schema-driven approach that maps document regions to strongly-typed objects, ensuring data accuracy through validation against predefined templates. Its pipeline-based architecture supports pluggable processing backends, allowing for the dynamic integration of specialized engines for optical character recognition and complex visual layout analysis. Users can control parsing behavior and extraction parameters through declarative configuration files, facilitating integration into automated workflows and server-based architectures. The library provides both a programmatic interface and a command-line toolkit to support automated document processing and format conversion. It utilizes optional dependency management to allow for modular installation of specific features, such as media rendering or advanced processing capabilities, depending on the requirements of the application.