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PDF extraction engines: native and Pdfium v1.0.0

Use this resource to choose and tune Xberg's PDF extraction engine

New

  • 435 downloads
  • 195 likes
  • 187 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pdf-extraction-backends

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent selects the requested engine without silent fallback, sets forced OCR for a document or selected pages, then checks the result. You know which extraction produced the text and where capabilities are missing.

Mostly picked by

Updated November 2, 2026

Card for the “PDF extraction engines: native and Pdfium” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: native engine, Pdfium engine and OCR settings
  • SKILL.md: verification steps and known gaps

Good fit for

  • An encrypted or scanned PDF comes out empty
  • You compare two PDF engines on the same documents

Not for

    Tags

    • pdf
    • extraction
    • ocr
    • pdfium
    • encryption

    About

    You say

    “Extract this encrypted PDF with the Pdfium engine and tell me whether OCR was used.”

    Card for the “PDF extraction engines: native and Pdfium” skill

    Skill published by xberg-io under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to choose and tune Xberg's PDF extraction engine
    3. Review and adjust the result

    Content preview

    Files

    • index.md0.2 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    xberg-io
    Source
    github.com/xberg-io/xberg/tree/82b2f67583c3f2b7b14b67e62bdf949ee5601320/.ai-rulez/skills/pdf-backends
    Licence
    MIT

    Notice

    « pdf-backends » (xberg-io, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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