docp-core Library Documentation
Overview
The docp-* project suite is designed as a comprehensive (doc)ument
(p)arsing library. Built in CPython, it consolidates the capabilities
of various lower-level libraries, offering a unified solution for parsing
binary document structures.
The suite is extended by several sister projects, each providing unique functionality:
Project |
Description |
|---|---|
docp-core |
Centralised core objects, functionality and settings. |
docp-parsers |
Parse binary documents (e.g. PDF, PPTX, etc.) into Python objects. |
docp-loaders |
Load a parsed document’s embeddings into a Chroma vector database, for RAG-enabled LLM use. |
docp-docling |
Convert a PDF into Markdown format via wrappers to the |
docp-dbi |
Interfaces to document databases such as ChromaDB, and Neo4j (coming soon). |
Installation
To install docp-core, first activate your target virtual environment,
then use pip:
pip install docp-core
For older releases, visit PyPI or the GitHub Releases page.
Using the Library
This documentation provides detailed explanations and usage examples for each importable module. For in-depth documentation, code examples, and source links, refer to the Library API Documentation page.
A search field is available in the left navigation bar to help you quickly locate specific modules or methods.
Troubleshooting
No troubleshooting guidance is available at this time.
For questions not covered here, or to report bugs, issues, or suggestions, please contact us or open an issue on GitHub.
Documentation Contents
Indices and Tables
Last updated: 24 Jan 2026