PDF Toolkit — Extract, Merge, Split, Fill, and OCR PDF Files
All major PDF operations: text/table extraction, merge, split, form fill, OCR, encryption
Free
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Example session with this skill installed
Merge doc1.pdf and doc2.pdf, rotate the first page 90 degrees, and save it as final.pdf.
- Read your context and instructions
- Compiled the pdf toolkit
I have generated the script to merge and rotate your files.
from pypdf import PdfReader, PdfWriter
writer = PdfWriter()
for f in ["doc1.pdf", "doc2.pdf"]:
reader = PdfReader(f)
for i, page in enumerate(reader.pages):
if f == "doc1.pdf" and i == 0:
page.rotate(90)
writer.add_page(page)
with open("final.pdf", "wb") as out:
writer.write(out)
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
PDF interaction often fails when standard libraries mishandle complex layouts, tables, or scanned content. Developers struggle with inconsistent text extraction, broken Unicode rendering, and the complexity of programmatic PDF creation.
What it does
- Extracts structured text and tabular data from documents into pandas DataFrames.
- Automates document operations including merging, splitting, rotating, and watermarking.
- Generates dynamic PDF reports from scratch using layout engines and markup.
- Performs OCR on scanned documents to convert images into searchable text.
- Manages document security through encryption, decryption, and password protection.
Frameworks & tools
Python (pypdf, pdfplumber, reportlab, pytesseract), CLI tools (qpdf, poppler-utils, pdftk).
Why this beats prompting it yourself
Programming PDF logic by hand often leads to encoding errors or failed table detection. This skill provides the specific syntax for layout-aware extraction and correctly handles delicate tasks like subscript rendering and OCR pipelines that generic prompts usually hallucinate.
Use cases
- Convert messy PDF invoices into clean Excel or CSV files.
- Batch process and watermark a directory of legal documents.
- Build automated reporting pipelines that generate multi-page branded PDFs.
- Remove passwords from restricted documents for automated ingestion.
Known limitations
ReportLab lacks native Unicode subscript/superscript support in default fonts. OCR requires external Tesseract and Poppler dependencies.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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Verified clean 3 months ago
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Requires
Python