Pdf Text Extraction 9424c5 logo

Pdf Text Extraction 9424c5

OrganizationPopular
HKUDS
pdf-text-extraction-9424c5

Extract text from PDF files using pdftotext when read_file returns binary data

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namepdf-text-extraction-9424c5
Stars
7.8K
Forks
923
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Pdf Text Extraction 9424c5 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-9424c5
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HKUDS/OpenSpace.git /tmp/OpenSpace
mkdir -p .claude/skills
cp -r /tmp/OpenSpace/benchmarks/gdpval/skills/pdf-text-extraction-9424c5 .claude/skills/pdf-text-extraction-9424c5
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Text Extraction 9424c5 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pdf Text Extraction 9424c5 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pdf Text Extraction 9424c5 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PDF Text Extraction via pdftotext

Problem

When using read_file on PDF documents, the function may return binary image data or garbled content instead of readable text. This occurs because PDFs can contain scanned images or complex binary structures that read_file cannot properly parse as text.

Solution

Use the pdftotext command-line utility via run_shell to extract clean text content from PDF files.

Steps

1. Verify PDF file exists

python
import os

pdf_path = "path/to/document.pdf"
if not os.path.exists(pdf_path):
    raise FileNotFoundError(f"PDF not found: {pdf_path}")

2. Extract text using pdftotext

python
from tools import run_shell

# Extract text to stdout
result = run_shell(command=f"pdftotext '{pdf_path}' -", timeout=60)
pdf_text = result.stdout

# Alternative: extract to a temporary file
temp_txt = "/tmp/extracted.txt"
run_shell(command=f"pdftotext '{pdf_path}' '{temp_txt}'", timeout=60)
with open(temp_txt, 'r') as f:
    pdf_text = f.read()

3. Handle parameter naming carefully

When calling read_file, be aware of the parameter name:

  • Use filetype="pdf" (not file_type)
  • Some tool implementations may use different parameter names
python
# Correct parameter usage
content = read_file(file_path="doc.pdf", filetype="pdf")

# If this returns binary/garbled data, fall back to pdftotext

Common pdftotext Options

OptionDescription
-Output to stdout
-layoutMaintain original layout
-f <n>Start from page n
-l <n>End at page n
-qQuiet mode

Example with options:

python
result = run_shell(command=f"pdftotext -layout -q '{pdf_path}' -", timeout=60)

Error Handling

python
from tools import run_shell

def extract_pdf_text(pdf_path):
    """Extract text from PDF using pdftotext with error handling."""
    import os
    
    if not os.path.exists(pdf_path):
        raise FileNotFoundError(f"PDF not found: {pdf_path}")
    
    result = run_shell(command=f"pdftotext '{pdf_path}' -", timeout=60)
    
    if result.returncode != 0:
        raise RuntimeError(f"pdftotext failed: {result.stderr}")
    
    return result.stdout.strip()

When to Use This Pattern

  • read_file returns binary data, garbled text, or image content for a PDF
  • You need searchable/processable text from PDF documents
  • The PDF contains text (not just scanned images - for those, consider OCR tools)

Prerequisites

  • pdftotext must be installed (part of poppler-utils on Debian/Ubuntu, poppler on macOS via Homebrew)
  • Verify availability: run_shell(command="which pdftotext")

Frequently asked questions

What does the Pdf Text Extraction 9424c5 AI skill do?

Extract text from PDF files using pdftotext when read_file returns binary data

Why use Pdf Text Extraction 9424c5 on TypingMind?

Because you install it once and use it with any model. Pdf Text Extraction 9424c5 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pdf Text Extraction 9424c5 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-text-extraction-9424c5. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdf Text Extraction 9424c5?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pdf Text Extraction 9424c5?

As many as you like. As long as a model supports skills, you can use Pdf Text Extraction 9424c5 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pdf Text Extraction 9424c5 AI skill free?

Yes. It is published on GitHub by HKUDS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇