Keywords AI

Docling vs Reducto

Compare Docling and Reducto side by side. Both are tools in the RAG Frameworks category.

Quick Comparison

	Docling	Reducto
Category	RAG Frameworks	RAG Frameworks
Pricing	Open Source	usage-based
Best For	Developers and researchers who need accurate document parsing with layout and table understanding	Developers building RAG for finance, legal, and complex documents
Website	github.com	reducto.ai
Key Features	Document parsing with layout understanding Table extraction from PDFs OCR for scanned documents Multiple output formats Open-source and self-hosted	Vision parsing PDF extraction Table extraction VLM-based
Use Cases	PDF to structured data conversion Academic paper processing Financial report extraction Scanned document digitization Document understanding pipelines	—

When to Choose Docling vs Reducto

Choose Docling if you need

PDF to structured data conversion
Academic paper processing
Financial report extraction

Pricing: Open Source

About Docling

Docling is IBM's open-source document conversion toolkit that transforms PDFs, DOCX, PPTX, and other document formats into structured JSON or markdown. It uses advanced layout analysis and table structure recognition to preserve document structure, making it ideal for preparing documents for RAG and LLM applications. Docling integrates with LlamaIndex and LangChain for seamless pipeline construction.

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About Reducto

Vision-first document parsing using VLMs. Extracts complex tables, charts, and layouts from PDFs.

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What is RAG Frameworks?

Frameworks and tools for building retrieval-augmented generation pipelines—document parsing, chunking, indexing, and query engines that connect LLMs to your data.

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