Pdf Scan Text Extractor

The problem

PDFs are often dead ends for data. Scanned images or locked digital files prevent you from copying text, extracting tables, or feeding document content into other tools.

What it does

• Detects whether a PDF contains a digital text layer or requires OCR to save processing time.
• Extracts text from digital PDFs while preserving column layouts and page ranges.
• Performs OCR on scanned documents using Tesseract to convert images into raw text.
• Generates searchable PDF versions of scans with deskewing and optimization.
• Cleans extracted text by removing repetitive footers and collapsing unnecessary whitespace.

Frameworks & tools

Poppler (pdfinfo, pdftotext, pdftoppm), Tesseract OCR, and OCRmyPDF.

Why this beats prompting it yourself

Standard LLM prompts struggle with multi-page PDFs and often hallucinate content in low-quality scans. This skill uses a proven local toolchain to extract ground-truth data first, ensuring the LLM works with actual text rather than guessing from raw pixels.

Use cases

• Convert long scanned reports into clean Markdown for documentation.
• Extract specific page ranges from massive digital whitepapers.
• Batch process a folder of photographed documents into searchable text files.
• Make legacy scan-only archives searchable via Ctrl+F.

Known limitations

Does not support extracting images or figures. Complex table reconstruction with merged cells may lose structural integrity during OCR.