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Ocr Document Processor

Checked
dkyazzentwatwa·vlatest·ai-ml

Extracts text and structured data from scanned documents and images using advanced OCR technology.

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 dkyazzentwatwa/chatgpt-skills --skill ocr-document-processor -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

dkyazzentwatwa

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 dkyazzentwatwa/chatgpt-skills at 103b4308f6.

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

Scanned
6 files, 1,125 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 allows AI agents to process documents via Optical Character Recognition (OCR). It can extract text from images, PDFs, and other document formats. The extracted text is then ready for further analysis or use in other tools.

When to use it

  • Extracting data from scanned invoices or receipts for expense reporting.
  • Converting handwritten notes into digital text for archiving.
  • Making text within image files searchable by indexing the extracted content.
  • Populating a database with information contained in PDF reports.
  • Transcribing text from images of signs or posters.

Key capabilities

  • OCR processing of various document formats (images, PDFs)
  • Text extraction from documents
  • Supports multiple languages (specific language support not detailed)

Example prompts

  • "Extract the text from this image and summarize it."
  • "Can you read the text in this PDF and list all dates mentioned?"
  • "Process this scanned document and save the extracted text to a file named 'document_text.txt'."

Tips & gotchas

The quality of OCR depends heavily on the clarity and resolution of the input image or document. Ensure documents are properly aligned and free from significant distortion for best results.