What’s New in PDF2ID Standard/Professional 2018
Support for InDesign Creative Cloud 2018
PDF2ID 2018 now supports and integrates with InDesign CC 2018. InDesign CC through CC 2017 are supported as well.
Support for macOS 10.13 (High Sierra) and APFS volumes
PDF2ID 2018 has been enhanced to operate under macOS High Sierra. APFS disks and volumes are also completely supported.
Table recognition enhancements
PDF2ID 2018 includes an enhanced table recognition core dramatically improving table identification in PDF files.
Automatic conversion of Images with transparency to PNG
Images with transparency masks are now directly converted to PNG format allowing for the transparency effect to appear in the converted InDesign file.
PDF2ID architecture enhancements
Architectural enhancements have been made to PDF2ID enhancing startup and shutdown of PDF2ID operations resulting in faster InDesign startup/shutdown operations.
What’s new in PDF2ID Standard and Professional v3.5
Integration with InDesign CS6
PDF2ID has been enhanced to operate and function with InDesign CS6. InDesign CS4, CS5 and CS5.5 are supported as well.
XPS File Conversion
PDF2ID now recognizes and processes Windows XPS files. XPS files are now converted to fully formatted and editable InDesign files.
Hybrid 32/64-bit PDF/XPS v6.0 engine
PDF2ID v3.5 now uses a hybrid 32/64-bit PDF/XPS v6.0 engine. The conversion core is 64-bit savvy and ready.
Enhanced Image conversion support
The image conversion options have been enhanced so that Lab/Grayscale/Indexed Color images without color profiles can now be converted to a specific format independently of RGB/CMYK images.
Layout Reconstruction Core Enhancement
The layout reconstruction core has been thoroughly enhanced dramatically improving the fidelity of the conversion. In particular Table formation, Complex Vector Graphics to image conversion, Paragraph Formation, Frames reduction, Graphics processing and many other areas have been completely enhanced.
Enhanced Character and Paragraph Style generation
The Character and Paragraph style generation mechanism has been enhanced effectively reducing the number of Paragraph and Character styles being created by about 20%.