Converting PDF to Word format has historically been challenging due to fundamental differences in how the two formats represent document structure. Our converter uses a multi-pass analysis engine that first identifies text blocks, then reconstructs paragraph boundaries and formatting.
Tables are detected using a combination of line analysis and cell content alignment heuristics. The converter correctly handles merged cells, nested tables, and tables that span multiple pages.
Images embedded in the PDF are extracted at their original resolution and placed in the Word document at the corresponding position. Vector graphics are converted to high-resolution raster images.
Font matching uses a comprehensive database of metric-compatible alternatives. When an exact font match is unavailable, the converter selects the closest substitute.