spreads 0.4.1

Book digitization workflow assistant

spreads is a tool that aims to streamline your book scanning workflow. It takes care of every step: Setting up your capturing devices, handling the capturing process, downloading the images to your machine, post-processing them and finally assembling a variety of output formats.

Along the way you can always fine-tune the auto-generated results either by supplying arguments or changing the configuration beforehand, or by inspecting the output and applying your modifications.

spreads is meant to be fully customizable. This means, adding support for new devices is made as painless as possible. You can also hook into any of the spread commands by implementing one of the available plugin hooks or even implement your own custom sub-commands.

Quickstart

First, make sure you have installed all of the requirements (see below). Once this is done, spreads can be easily installed from PyPi:

$ pip install spreads

To select your desired plugins and configure your devices:

$ spread configure

spreads offers an interactive wizard that takes you from a physical book to a digitized version in one single workflow with minimal user input:

$ spread wizard ~/my_scanning_project

Features

• Shoot with both cameras simultaneously, directly storing the images in a single directory on your computer in the right order.

• Automatically rotate the images and optionally adjust the white balance (if a gray card has been used during shooting).

• Create a ScanTailor project file that the user can customize as desired.

• Generate PDF and DJVU files with hidden text layers

• Interactive Wizard-Mode that handles the full workflow from image capturing to post-processing, either from the command-line or via graphical interface.

Requirements

• Python 2.7 with pip installed

• libusb with headers installed

• exiftool

• An up-to date version of ScanTailor-enhanced

Optional: * For the GUI: PySide * For CHDK cameras: An up-to-date version of chdkptp * For the ScanTailor plugin: ScanTailor-enhanced * For PDF output: pdfbeads * For DJVU output: djvubind * For OCR: tesseract

Documentation

More documentation is available on readthedocs