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Parse PDFs and docs for RAG
The best document parser for turning PDFs and docs into LLM-ready text is Docling because it scores highest on our published formula (84.1/100): Open-source document conversion with strong GitHub traction.
The job: “I need to turn PDFs, slides and docs into clean text and structure for LLMs.” · Last checked
Docling
Open-source document conversion with strong GitHub traction.
Not for: People who want a fully hosted API with no setup.
Pricing: Open source. source, checked 2026-10-19
Visit Docling ↗Unstructured
Open-source library covering many file types.
Not for: Minimal-dependency projects.
Pricing: Open source library; hosted platform pricing not checked. source
Score breakdown
| Tool | Fit (editorial) ×0.4 | Adoption (GitHub stars) ×0.25 | Momentum (release freshness) ×0.2 | Attention (HN, 30d) ×0.15 | Score |
|---|---|---|---|---|---|
| Docling | 5/5 → 1 | 69.3k★ → 0.907 | Oct 20, 2026 → 0.993 | 1 pts → 0.102 | 84.1 |
| Unstructured | 4/5 → 0.75 | 15.6k★ → 0.785 | Oct 20, 2026 → 0.994 | 4 pts → 0.236 | 73 |
Missing signals are dropped and the remaining weights re-normalized. See methodology. Signals fetched Oct 21, 2026.
FAQ
What is the best document parser for turning PDFs and docs into LLM-ready text?
The best document parser for turning PDFs and docs into LLM-ready text is Docling because it scores highest on our published formula (84.1/100): Open-source document conversion with strong GitHub traction.
What is the best alternative to Docling?
Our runner-up is Unstructured (73/100). Open-source library covering many file types. Not for: Minimal-dependency projects.
Who should not use Docling?
People who want a fully hosted API with no setup.
How much does Docling cost?
Open source. (checked 2026-10-19, source: https://github.com/docling-project/docling)
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