ODP extractor

ODP extractor provides a focused data extraction capability for OpenDocument Presentation files. It targets developers, data engineers, researchers, and content teams who need reproducible access to slide content, speaker notes, and document metadata without manual parsing. By converting a binary presentation package into a structured representation, it supports automation, content indexing, and data analysis workflows. The tool emphasizes deterministic results, clear data schemas, and compatibility with common data pipelines.
Conceptually, the tool opens the ODP archive, locates the manifest and slide data, and iterates through slides in their defined order. It collects per-slide text, titles, notes, and any embedded metadata, then normalizes these items into a uniform schema. Outputs can be emitted as JSON by default, with CSV or XML exports available for integration with analytics platforms and ETL pipelines.
Its value lies in accuracy, speed, and reproducibility. It supports optional extraction of embedded images, uses UTF-8 aware processing, and preserves slide sequences. Large files are processed in streaming fashion to avoid memory spikes. The tool enables batch extractions, repeatable runs, and easy auditing of the resulting data.
Typical use cases include building searchable presentation corpora for research, indexing slides for knowledge bases, and feeding presentation content into data lakes and dashboards. The tool is designed for local or server deployment and integrates with scripting, data science notebooks, and workflow orchestrators.