converter-pdf

To convert scanned judicial PDFs to text, this Skill uses Tesseract OCR to extract page-preserving, cleaned plain-text output. It processes scanned inputs and removes PJe boilerplate, making the text usable for downstream analysis.

Yes, digital judicial PDFs can be extracted without OCR using a faster pdfplumber path by passing the --digital flag. If digital extraction fails, the script automatically falls back to Tesseract OCR processing.

Yes, Tesseract is required for default OCR-based text extraction from scanned PJe PDFs. The script also depends on pdfplumber, pdf2image, and PyPDF2 to parse pages and convert them into cleaned TXT files.

Run the Python script with --input and --output arguments to bulk convert PJe process PDFs to TXT. The output preserves page structure markers, filters PJe-specific headers and footers, and produces LLM-ready text with extraction metrics.

PJe cleaning removes recurring headers, footers, and PJe-specific pollution patterns from the extracted text. It also reports quality statistics such as page counts, character counts, and the percentage of noise reduction achieved.