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Pdf Read File Fallback

OrganizationPopular
HKUDS
pdf-read-file-fallback

Extract text from PDFs using pdftotext when read_file returns binary data

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namepdf-read-file-fallback
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 Read File Fallback 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-read-file-fallback
  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-read-file-fallback .claude/skills/pdf-read-file-fallback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Read File Fallback 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 Read File Fallback 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 Read File Fallback 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 Fallback

When to Use

Use this pattern when read_file with filetype="pdf" returns binary image data instead of extractable text content. This commonly occurs with PDFs that contain scanned images or complex formatting.

Steps

1. Attempt Primary Extraction

First, try using read_file:

python
result = read_file(file_path="document.pdf", filetype="pdf")

Important: Use filetype (not file_type) - incorrect parameter naming will cause execution failures.

2. Detect Binary/Image Data

Check if the result contains unusable content:

python
# Indicators of binary/image data:
# - Contains null bytes: '\x00'
# - Very short or empty
# - Contains image markers (PNG/JPEG headers)
# - Unreadable character sequences

if not result or len(result) < 50 or '\x00' in str(result):
    # Proceed to fallback

3. Use pdftotext via run_shell

Extract text using the pdftotext command-line tool:

python
shell_result = run_shell(command="pdftotext -layout document.pdf -")
text_content = shell_result.stdout

The - flag outputs to stdout for easy capture. The -layout flag preserves original formatting.

4. Handle pdftotext Unavailable

If pdftotext is not installed, try Python-based extraction:

python
result = execute_code_sandbox(code="""
import pdfplumber
text = ''
with pdfplumber.open('document.pdf') as pdf:
    for page in pdf.pages:
        extracted = page.extract_text()
        if extracted:
            text += extracted + '\\n'
print(text)
""")

Complete Example

python
file_path = "report.pdf"

# Primary attempt
result = read_file(file_path=file_path, filetype="pdf")

# Validate and fallback if needed
if not result or len(str(result)) < 100 or '\x00' in str(result):
    # Fallback to pdftotext
    shell_result = run_shell(command=f"pdftotext -layout {file_path} -")
    text_content = shell_result.stdout
    
    # If pdftotext fails, try Python extraction
    if not text_content or len(text_content) < 50:
        code_result = execute_code_sandbox(code=f"""
import pdfplumber
text = ''
with pdfplumber.open('{file_path}') as pdf:
    for page in pdf.pages:
        extracted = page.extract_text()
        if extracted:
            text += extracted + '\\n'
print(text)
""")
        text_content = code_result

Notes

  • pdftotext is part of the poppler-utils package on most Linux systems
  • For scanned/image-only PDFs, consider OCR tools (tesseract) instead
  • Always validate parameter names against tool documentation (filetype vs file_type)

Frequently asked questions

What does the Pdf Read File Fallback AI skill do?

Extract text from PDFs using pdftotext when read_file returns binary data

Why use Pdf Read File Fallback on TypingMind?

Because you install it once and use it with any model. Pdf Read File Fallback 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 Read File Fallback in TypingMind?

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

Which AI models can use Pdf Read File Fallback?

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 Read File Fallback?

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

Is the Pdf Read File Fallback 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.

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