Filimoa/open-parse

Health v2 · maintenance only

Adoption not part of the score

3159 stars · 143 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Open Parse is a Python library that visually parses complex documents (primarily PDFs) into semantically meaningful chunks for LLM and RAG pipelines. It detects document layout, headings, and tables, and can cluster nodes using embeddings for higher-quality chunking.

Use cases

• chunk pdfs for a rag pipeline
• extract tables from pdfs into markdown
• parse document layout with headings and sections
• split documents semantically instead of naive text splitting
• prepare complex documents as llm input
• convert pdf documents to markdown

When to choose

• you need high-quality chunking of complex PDFs for RAG
• you need accurate table extraction into markdown
• you want visual layout-aware parsing rather than plain text splitting
• you want an open-source alternative to commercial document AI services

When to avoid

• you only need simple plain-text splitting of flat text files
• you need OCR of scanned documents as a primary feature
• you need a hosted document-processing API with vendor support
• your documents are simple and a lightweight text splitter suffices

Facets

library · maturity active

parser pdf ocr rag nlp pdf large-language-models developer-tools python document-chunking layout-parsing table-extraction document-structure pdf-parsing semantic-chunking natural-language-processing retrieval-augmented-generation

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