Skip to content
cccskills
FreePublished on GitHub

pdf-text-extraction-fallback

Extract readable PDF text when read_file returns binary or image data. Check the filetype parameter, run pdftotext, a command-line text extractor, and inspect output and errors, with temporary file output as an alternative.

OriginalShow the original description

Extract text from PDFs using pdftotext when read_file returns binary data

See how to install

Good for

  • Extracting PDF text after binary data is returned
  • Checking read_file parameter names during troubleshooting
  • Saving extracted text when direct output has issues
  • Checking extraction errors and missing tool installation

Files included (2)

  • SKILL.md2.9 KB
  • .skill_id42 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

PDF Text Extraction Fallback

When to Use This Skill

Use this skill when read_file with filetype="pdf" returns binary/image data instead of readable text content. This is a common issue with PDF files that contain embedded images or complex formatting.

Steps

1. Validate Parameters First

Before attempting extraction, ensure you're using the correct parameter name:

  • Use filetype (not file_type) for the read_file function
  • Incorrect parameter names can cause silent failures
# Correct
read_file(filetype="pdf", file_path="document.pdf")

# Incorrect - may fail silently
read_file(file_type="pdf", file_path="document.pdf")

2. Detect Binary Data Issue

After calling read_file, check if the result contains:

  • Garbled/binary characters
  • Image data representations (e.g., b'...' byte strings with non-text content)
  • Unreadable or corrupted-looking content

If yes, proceed with the pdftotext workaround.

3. Extract Text via pdftotext

Use run_shell to call pdftotext, which extracts text directly from PDF files:

# Extract text to stdout
result = run_shell(command="pdftotext /path/to/document.pdf -")
text_content = result.stdout

The - flag tells pdftotext to output to stdout instead of creating a file.

4. Handle Output and Errors

result = run_shell(command="pdftotext /path/to/document.pdf -")

if result.stderr:
    # Check for errors like "pdftotext not found"
    # May need to install poppler-utils
    pass

text_content = result.stdout
# text_content now contains the extracted text

Example Workflow

# Step 1: Try normal read with correct parameters
content = read_file(filetype="pdf", file_path="reference.pdf")

# Step 2: Check if content is readable
if not content or looks_like_binary(content):
    # Step 3: Fall back to pdftotext
    result = run_shell(command="pdftotext reference.pdf -")
    text_content = result.stdout
    
    # Step 4: Verify extraction succeeded
    if result.stderr:
        # Handle error (e.g., install pdftotext)
        pass

Installation Notes

pdftotext is part of the poppler-utils package:

  • Debian/Ubuntu: apt-get install poppler-utils
  • macOS: brew install poppler
  • Many Linux environments: Pre-installed

Alternative: Output to File

If stdout approach has issues, output to a temporary file:

run_shell(command="pdftotext /path/to/document.pdf /tmp/output.txt")
text_content = read_file(filetype="txt", file_path="/tmp/output.txt")

Best Practices

  1. Always validate the filetype parameter spelling before troubleshooting
  2. Check both stdout and stderr from pdftotext
  3. For multi-page PDFs, pdftotext preserves page breaks with form feeds
  4. This method works better for text-based PDFs than image-scanned PDFs

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.

  • Match audio parts with different durations
  • Extend drums and melodic parts using suitable methods
  • Check audio specifications before mixing
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.

  • Align instrument tracks to a reference audio file
  • Choose how to extend tracks that are too short
  • Verify audio properties after generation and effects
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.

  • Connect a dashboard to external APIs without exposing API keys
  • Create endpoints for stock quotes and news
  • Standardize API responses and error handling
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.

  • Export a master track with separate audio parts
  • Apply filters and reverb to audio
  • Check duration and format across deliverables
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.

  • Continue drafting after repeated web retrieval failures
  • Preserve task requirements during network errors
  • Mark information that could not be externally verified
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.

  • Retry Python work through the shell after repeated sandbox failures
  • Run longer tasks with an adjusted timeout
  • Execute Python work that needs multiple files or system utilities
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

See all skills by HKUDS

Report a problem with this skill