Extract PDF text when the usual file reader returns errors or unusable output. Choose command-line tools or Python libraries for plain text, metadata, tables, and complex layouts, with checks for scanned or copy-protected documents.
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Use shell commands or Python libraries to extract PDF text when read_file PDF handler fails
安装前可以查看交给 AI 代理的指令内容。
The read_file tool with filetype='pdf' often returns binary image data, errors, or unusable output when attempting to extract text from PDF documents. This makes it unreliable for structured data extraction tasks.
Use run_shell with command-line tools (pdftotext, pdfinfo) or execute_code_sandbox with Python libraries (PyMuPDF, pdfplumber) to extract PDF text content reliably.
# Extract all text to stdout
pdftotext input.pdf -
# Or extract to file
pdftotext input.pdf output.txt
cat output.txt
pdfinfo input.pdf
import fitz # PyMuPDF
doc = fitz.open("input.pdf")
text = ""
for page in doc:
text += page.get_text()
print(text)
doc.close()
import pdfplumber
with pdfplumber.open("input.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
# For tables:
# tables = page.extract_tables()
Attempt read_file with filetype='pdf' first (in case it works)
Check output - If you receive:
Fall back to one of the extraction methods above:
pdftotext via run_shell for quick text extractionpdfplumber via execute_code_sandbox for structured data/tablesPyMuPDF for complex layouts or when you need more controlProcess the extracted text for your task
# Via run_shell
result = run_shell(command="pdftotext document.pdf -")
pdf_text = result.stdout
# Via execute_code_sandbox
code = """
import pdfplumber
with pdfplumber.open("/path/to/document.pdf") as pdf:
for page in pdf.pages:
print(page.extract_text())
"""
result = execute_code_sandbox(code=code)
pdf_text = result.stdout
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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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