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Nanopdf

Your agent can't read the PDF sitting right there. No OCR, no extraction, no answers. The openclaw pdf skill fixes that in minutes.

openclaw pdf document nano lightweight reader

What breaks without openclaw pdf skill

Unreadable PDFs. Manual copy-paste from documents. LLM prompts starved of content.

→
Full PDF text in agent context × lightweight zero-dependency parser ÷ 5–10 minutes ÷ no external services = document Q&A that works.

openclaw pdf skill — what it actually does

01
Extracts text and metadata from PDF documents inside OpenClaw workflows.
02
Feeds raw content directly into downstream summarisation skills.
03
Handles encrypted PDFs with the --password flag.
04
Pipes clean output into any other skill for chained processing.

Security check — openclaw pdf skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS, Linux; OpenClaw ≥1.0 compatibility.

Quick start — openclaw pdf skill in 5–10 minutes

Setup time: 5–10 minutes

!
You need: OpenClaw core

Install the package:

# Install via ClawhHub
clawhub install zaycv/nanopdf
1
Install the skill
2
Pass a local PDF path to /pdf read <file>
3
Use /pdf extract-text to get raw text
4
Pipe output into another skill for summarisation

Troubleshooting openclaw pdf skill

1
1. Scanned PDFs without OCR return empty text — pre-process with an OCR tool first
2
2. Encrypted PDFs require the password flag /pdf read --password <pw>

Compatibility & status

Works with: macOS, Linux; OpenClaw ≥1.0 beginner Last updated: Oct 2025 ★ 112 on GitHub MIT

Official docs →

View on GitHub →

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OpenClaw Min Bundle
A minimal, stripped-down OpenClaw bundle for resource-constrained environments — smaller, faster, fewer dependencies.
Nano Pdf
Extract text and data from PDFs inside OpenClaw — fast, local, no cloud upload needed.

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Leave PDFs unread and your agent keeps guessing. Install now before the next document-heavy task hits your queue.

Get it on GitHub →