Extract PDF text when read_file returns unreadable binary content or little usable output. Try pdftotext with layout preservation, then use pdfplumber as an alternative when the command is unavailable or produces insufficient text.
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Extract text from PDFs using pdftotext when read_file returns binary data
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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.
First, try using read_file:
result = read_file(file_path="document.pdf", filetype="pdf")
Important: Use filetype (not file_type) - incorrect parameter naming will cause execution failures.
Check if the result contains unusable content:
# 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
Extract text using the pdftotext command-line tool:
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.
If pdftotext is not installed, try Python-based extraction:
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)
""")
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
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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.
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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.
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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.
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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.
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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.
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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.
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