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Paddleocr Text Recognition

Listed
aidenwu0209·vlatest·ai-ml·Apache-2.0

Extracts text from images accurately using PaddleOCR, boosting OCR applications and enabling automated data extraction from visual sources.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aidenwu0209/paddleocr-skills --skill paddleocr-text-recognition -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aidenwu0209

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: paddle-model-ecology.bj.bcebos.com, paddleocr.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    paddleocr.comundeclaredpaddle-model-ecology.bj.bcebos.comundeclared

    What it found

    • skills/paddleocr-text-recognition/scripts/lib.py:24contacts paddleocr.com
      API_GUIDE_URL = "https://paddleocr.com"
    • skills/paddleocr-text-recognition/scripts/smoke_test.py:37contacts paddleocr.com
      1. Visit: https://paddleocr.com
    • skills/paddleocr-text-recognition/scripts/smoke_test.py:108contacts paddle-model-ecology.bj.bcebos.com
      or "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_001.png"

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aidenwu0209/paddleocr-skills at e73477d877.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
e73477d877
Manifest
skills/paddleocr-text-recognition/SKILL.md
Scanned
5 files, 1,079 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill utilizes PaddleOCR to perform text recognition within images. It can identify and extract textual information from various image formats, including those containing complex layouts or different fonts. The extracted text is then returned as structured data for further processing or analysis.

When to use it

  • Extracting text from scanned documents like invoices or receipts.
  • Reading text from signs or labels in photographs.
  • Identifying product names on packaging within an image.
  • Automating data entry tasks by extracting information from images containing forms.

Key capabilities

  • Image-based Text Recognition
  • Support for various image formats
  • Text extraction from complex layouts
  • Font and style adaptability

Example prompts

  • "Extract the text from this image: [image URL]"
  • "Can you read the words in this picture? [image URL]"
  • "What does the sign say in this photo? [image URL]"

Tips & gotchas

The accuracy of text recognition can be affected by image quality and resolution. Ensure images are clear and well-lit for optimal results.