lumina-ai-inc/chunkr

Health v2 · maintenance only

Adoption not part of the score

4137 stars · 275 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Chunkr is an open-source document intelligence API that performs layout analysis, OCR, and semantic chunking to convert PDFs, presentations, Word documents, and images into RAG/LLM-ready structured data. It is a production-ready service deployable via Docker Compose, with a separate managed cloud API offering proprietary models.

Use cases

• parse pdfs into rag-ready chunks
• extract structured text from scanned documents with ocr
• convert word docs and powerpoints for llm ingestion
• chunk complex documents semantically for vector search
• self-host a document parsing pipeline
• get bounding boxes and layout structure from documents

When to choose

• you need to feed complex documents into RAG or LLM pipelines
• you want a self-hosted, production-ready document parsing service
• you need OCR plus layout analysis with structured HTML/Markdown output

When to avoid

• you need maximum parsing accuracy without infrastructure work - the managed cloud API uses proprietary in-house models
• you need a permissive license - the open-source version is AGPL-3.0
• you only need simple plain-text extraction from clean PDFs

Facets

service · maturity active

ocr parser rag machine-learning pdf api-framework artificial-intelligence pdf developer-tools self-hosted rust python document-intelligence layout-analysis semantic-chunking document-parsing llm-data-preparation vision-language-models retrieval-augmented-generation natural-language-processing docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lumina-ai-inc/chunkr")