getomni-ai/zerox

Health v2 · maintenance only

Adoption not part of the score

12266 stars · 848 forks observed · 2026-08-28

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

Zerox is a library (Node.js and Python packages) that performs OCR and document extraction by converting files like PDFs, DOCX, and images into page images and sending them to vision models (GPT-4o, Gemini, Bedrock, etc.) to produce Markdown. It supports schema-based data extraction, concurrent page processing, and format maintenance across pages.

Use cases

• convert pdfs to markdown for llm ingestion
• extract text from scanned documents using vision models
• ocr documents with weird layouts and tables
• parse docx and image files into markdown
• extract structured data from documents with a schema
• prepare documents for rag pipelines

When to choose

• you need markdown output from complex document layouts, tables, or charts
• you want to leverage multimodal LLMs instead of traditional OCR engines
• you need support for multiple model providers (OpenAI, Azure, Bedrock, Gemini)
• you're building AI ingestion or RAG pipelines over documents

When to avoid

• you need fully offline or free OCR without LLM API costs
• you require pixel-perfect text extraction where hallucination is unacceptable
• you need high-volume batch processing with minimal latency and cost
• you need a traditional OCR engine like Tesseract

Facets

library · maturity active

ocr pdf llm-inference machine-learning data-science pdf artificial-intelligence large-language-models developer-tools files python cross-platform vision-models document-extraction markdown-output openai gemini aws-bedrock document-ai nodejs

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For agents

markdown · JSON · MCP: product_card(name="getomni-ai/zerox")