Extracting Markdown from PDFs takes precision. Nutrient’s
pdf-to-markdown skill gives Claude and Codex fast, accurate
extraction, so your AI workflow starts with clean Markdown instead
of noisy output that eats into your context window.
Install Nutrient’s new PDF-to-Markdown skill in Claude Code with the Nutrient marketplace, use it in Codex, or install the standalone CLI.
We published pdf-to-markdown in the
Nutrient marketplace so you can install it directly in Claude Code. The same
/plugin commands work in Codex.
/plugin marketplace add pspdfkit-labs/nutrient-skills/plugin install pdf-to-markdown@nutrient-skills
Or install the standalone pdf-to-markdown CLI tool directly.
curl https://agent-cdn.nutrient.io/pdf-to-markdown/install.sh | sh
The same signed binary that powers pdf-to-markdown also extracts
layout-preserving plain text and searches what you already extracted.
All local, all on the same free tier.
Clean Markdown with headings, lists, tables, and reading order. The right input for most RAG and LLM-context pipelines.
Plain text that keeps columns and tabular alignment, for plain-text models and column-sensitive pipelines.
Ranked search over an extracted file, returning only the top line windows. Parse once, then ask as many questions as you like.
Better PDF-to-Markdown extraction means less cleanup, fewer wasted tokens, and more reliable downstream results for Claude and Codex.
Benchmark data last updated April 2026, recorded on Apple M3 Ultra (no GPU). See the GitHub repository for methodology and the latest runs.
These are born-digital PDFs, benchmarked against open source parsers. Nutrient leads on reading order and speed; docling edges it on complex table structure. For scanned or handwritten documents, and for schema-level extraction with per-value confidence, use the Data Extraction API. Full methodology is in the benchmark documentation.
Use the extractor freely within the included usage limits, and keep your documents inside your own workflow.
Free for processing up to 1,000 documents per calendar month.
Commercial license required for: processing more than 1,000 documents per month, redistributing the binary, or OEM/white label use.
Need a REST endpoint or want to skip the install? PDF-to-Markdown API →
Contact salesThe skill reads your PDFs and produces Markdown output without uploading your documents to Nutrient.
It’s an agent skill that extracts clean, accurate Markdown from PDFs for Claude and Codex. Instead of feeding noisy PDF output into your AI workflow and burning context-window tokens on cleanup, the skill returns structured Markdown your model can work with right away.
We published pdf-to-markdown in the Nutrient marketplace, so you can add it directly in Claude Code. Run “/plugin marketplace add pspdfkit-labs/nutrient-skills”, and then run “/plugin install pdf-to-markdown@nutrient-skills”.
Yes. You can install it in Claude Code through the Nutrient marketplace, use it in Codex, or install the standalone CLI directly with “curl https://agent-cdn.nutrient.io/pdf-to-markdown/install.sh | sh”.
Passing a raw PDF to a model produces noisy extraction that wastes tokens and degrades downstream results. The skill returns fast, accurate Markdown with strong reading order and table structure, so your AI workflow starts from clean input instead of cleaning up messy output.
It’s free for processing up to 1,000 documents per calendar month. A commercial license is required for processing more than 1,000 documents per month, redistributing the binary, or OEM/white-label use. Your PDFs aren’t uploaded to Nutrient — the skill reads them and produces Markdown without routing your documents through a Nutrient service.
Yes. The skill runs in Claude Code, in Codex, or as a standalone CLI, so it fits into other agent workflows too. Whichever model provider you use still applies its own policies, and your local PDFs stay inside your workflow.
They’re commands backed by the same local binary. pdf-to-markdown returns structured Markdown (headings, lists, tables), which is what most RAG and LLM-context pipelines want. pdf-to-text returns layout-preserving plain text for plain-text consumers and column-sensitive pipelines. query runs ranked search over a file you already extracted, so an agent can pull one fact without reading the whole document back into context.
This CLI is built for born-digital PDFs that already contain a text layer, and it doesn’t OCR. For scanned, photographed, or handwritten documents, and for schema-level structured extraction with per-value coordinates and confidence, use the Nutrient Data Extraction API, which is designed for exactly that.
The PDF-to-Markdown skill is one piece — more agent skills are on the way. Explore the rest of the platform.