DXR Extractor

DXR Extractor provides a schema-driven pipeline that converts unstructured or semi-structured content into DXR-compliant structured data. It operates on inputs such as documents, JSON, XML, or CSV streams, guided by a DXR schema that defines fields, types, and validation rules. The tool emphasizes deterministic parsing, reproducible outputs, and a complete audit trail for each extracted field. Users supply a source payload and a schema; the engine applies type coercion, normalization, and field-level validators to produce a consistent record set. The result is suitable for data integration, testing, and compliance workflows, where DXR-formatted data must be accurate and traceable. The core value lies in reducing manual parsing effort, improving data quality, and enabling automated pipelines that rely on DXR structure for downstream processing. Use cases include extracting contractual terms from PDFs, mapping log entries to a standardized DXR schema, or converting nested XML payloads into flat, DXR-compliant records for BI or QA testing. Unique differentiators include schema-driven enforcement, explicit error reporting per field, and provenance metadata that tracks source and processing steps. Core features cover input flexibility, strict schema validation, deterministic field extraction, and export options (JSON/CSV). This tool benefits data engineers, software developers, and QA teams who need repeatable, auditable extraction aligned with a formal DXR schema.