To easily and quickly convert PDF document to images.

• Windows 7

  

• Archlinux (Xfce4)

  

• GitHub
• Baidu Cloud

• [Issue #2] Specify export directory.

• Open password protected PDF.
• New Large (600dpi) quality.
• [Windows] Static link to CRT, remove dll dependency.
• [Issue #1] Not valid Win32 application on Windows XP.

• Convert PDF to PNG images.
• Web (72dpi) and Print (300dpi) quality.
• Select pages.

• Create Development Directory (For linking MuPDF 3rd party libraries)

  cd
  mkdir Development
  cd Development

• Build and Install FLTK

  curl -O http://fltk.org/pub/fltk/1.3.3/fltk-1.3.3-source.tar.gz
  tar zxvf fltk-1.3.3-source.tar.gz
  cd fltk-1.3.3-source
  make
  make install

• Build and Install MuPDF

  curl -O http://mupdf.com/downloads/mupdf-1.7a-source.tar.gz
  tar zxvf mupdf-1.7a-source.tar.gz
  cd mupdf-1.7a-source
  make build=release
  make build=release install

• Build PDF to Image

  git clone --depth=1 https://github.com/limingjie/pdf_to_image
  cd pdf_to_image
  make

• Build FLTK (Or use pre-build fltk library)

  • Download and extract fltk-1.3.3-source.tar.gz.
  • Install CMake, generate Visual Studio solution and project files.
  • Open Visual Studio solution.
  • In Properties, change Configuration -> C/C++ -> Code Generation -> Runtime Library to Multi-threaded (/MT) for following projects.
    • fltk
    • fltk_forms
    • fltk_gl
    • fltk_images
    • fltk_jpeg
    • fltk_png
    • fltk_z
  • Build these projects.

• Build MuPDF (Or use pre-build MuPDF library)

  • Download and extract mupdf-1.7a-source.tar.gz.
  • Open mupdf-1.7a-source\platform\win32\mupdf.sln.
  • In Properties, change Configuration -> C/C++ -> Code Generation -> Runtime Library to Multi-threaded (/MT) for all projects.
  • Build the solution.

• Using FLTK and MuPDF pre-build libraries

  • In fltk folder, extract fltk-1.3.3-prebuilt-x86-x64.7z.
  • In mupdf folder, extract mupdf-1.7a-prebuilt-x86-x64.7z.

• Build PDF to Image

  • Open vs2013\pdf_to_image.sln
  • Build the solution.

• Mingjie Li
• GitHub