#1 Non-ML PDF Parser Leads the current benchmark · 83× faster than Docling · Zero dependencies
The PDF Engine for RAG Pipelines
Best published benchmark score without ML. 83× faster than Docling and 2× faster than OpenDataLoader. Zero GPU, zero OCR, zero JVM — just a 15 MB Rust binary with the best reported scores across reading order, tables, headings, paragraphs, text quality, and speed.
0+ docs/sec
0% accuracy
0 ML dependencies
0 SDK languages
Works with
Python Node.js Rust CLI WebAssembly
Contact the EdgeParse Team
Reach out if you are evaluating EdgeParse for production, planning a self-hosted deployment, or need help integrating PDF extraction into your AI pipeline. If you are still comparing options, start with the documentation, the live demo, or the enterprise overview before opening a deeper conversation.
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Helpful starting points
Getting started docs Install EdgeParse, run your first extraction, and learn the core concepts. Live demo Try EdgeParse directly in your browser — no install, no server required. Enterprise overview Self-hosted deployment, data sovereignty, priority support, and custom integrations. Docker deployment Run EdgeParse in containers with pre-built images for production pipelines.