epd-parser

EPD PDF parsing extracts product identities, metadata, and impact indicators into a standardized 42-column schema for LEED documentation and lifecycle analysis. It supports single or multiple PDFs and outputs structured datasets for product comparison.

Yes, EPD parsing supports multi-product Environmental Product Declarations and non-English PDFs. It identifies EPD sections, maps content to the 42-column schema, and preserves notes for validation across different languages and product counts.

Yes, EN 15804 A1 and A2 extraction outputs structured environmental data to CSV or Google Sheets. The parsed 42-column dataset enables direct product comparison and sustainability reporting across multiple declarations.

Parsing multiple EPD PDFs into a consistent 42-column dataset is the best way to compare environmental product declarations. This standardizes product identities, metadata, and impact indicators for direct side-by-side comparison within specifications or sustainability reports.

Yes, PyMuPDF is required for text extraction when parsing Environmental Product Declaration PDFs. It enables the identification of EPD sections, maps data to the 42-column schema, and preserves notes for validation.

EPD PDF parsing for lifecycle analysis is limited to EN 15804 A1 and A2 formats. The extraction relies on text parsing via PyMuPDF, so scanned image-only PDFs without a text layer cannot be processed into the 42-column schema.