Python djvu convert to pdf

aspose-com-gists / convert-djvu-to-pdf.py

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import aspose . pycore as aspycore
from aspose . imaging import Image , IntRange
from aspose . imaging . fileformats . djvu import DjvuImage
from aspose . imaging . fileformats . pdf import PdfDocumentInfo
from aspose . imaging . imageoptions import PdfOptions , DjvuMultiPageOptions
import os
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
# Load a DjVu image
with aspycore . as_of ( Image . load ( os . path . join ( data_dir , «template.djvu» )), DjvuImage ) as image :
# Create an instance of PdfOptions and Initialize the metadata for Pdf document
export_options = PdfOptions ()
export_options . pdf_document_info = PdfDocumentInfo ()
# Create an instance of IntRange and initialize it with the range of DjVu pages to be exported
range_ = IntRange ( 0 , 1 )
# Initialize an instance of DjvuMultiPageOptions with range of DjVu pages to be exported and Save the result in PDF format
export_options . multi_page_options = DjvuMultiPageOptions ( range_ )
image . save ( os . path . join ( data_dir , «result.pdf» ), export_options )
if delete_output :
os . remove ( os . path . join ( data_dir , «result.pdf» ))

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import aspose . pycore as aspycore
from aspose . imaging import Image
from aspose . imaging . fileformats . djvu import DjvuImage
from aspose . imaging . fileformats . tiff . enums import TiffExpectedFormat
from aspose . imaging . imageoptions import TiffOptions , DjvuMultiPageOptions
import os
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
# Load a DjVu image
with aspycore . as_of ( Image . load ( os . path . join ( data_dir , «template.djvu» )), DjvuImage ) as image :
# Create an instance of TiffOptions & use preset options for Black n While with Deflate compression
export_options = TiffOptions ( TiffExpectedFormat . TIFF_DEFLATE_BW )
# Initialize the DjvuMultiPageOptions and Call Save method while passing instance of TiffOptions
export_options . multi_page_options = DjvuMultiPageOptions ()
image . save ( os . path . join ( data_dir , «result.tiff» ), export_options )
if delete_output :
os . remove ( os . path . join ( data_dir , «result.tiff» ))
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import aspose . pycore as aspycore
from aspose . imaging import Image , IntRange
from aspose . imaging . fileformats . djvu import DjvuImage
from aspose . imaging . fileformats . tiff . enums import TiffExpectedFormat
from aspose . imaging . imageoptions import TiffOptions , DjvuMultiPageOptions
import os
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
# Load a DjVu image
with aspycore . as_of ( Image . load ( os . path . join ( data_dir , «template.djvu» )), DjvuImage ) as image :
# Create an instance of TiffOptions & use preset options for Black n While with Deflate compression
export_options = TiffOptions ( TiffExpectedFormat . TIFF_DEFLATE_BW )
range_ = IntRange ( 0 , 1 )
# Initialize an instance of DjvuMultiPageOptions while passing instance of IntRange and Call Save method while passing instance of TiffOptions
export_options . multi_page_options = DjvuMultiPageOptions ( range_ )
image . save ( os . path . join ( data_dir , «result.tiff» ), export_options )
if delete_output :
os . remove ( os . path . join ( data_dir , «result.tiff» ))

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import aspose . pycore as aspycore
from aspose . imaging import Image , IntRange , Rectangle
from aspose . imaging . fileformats . png import PngColorType
from aspose . imaging . fileformats . djvu import DjvuImage
from aspose . imaging . imageoptions import PngOptions , DjvuMultiPageOptions
import os
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
# Load a DjVu image
with aspycore . as_of ( Image . load ( os . path . join ( data_dir , «template.djvu» )), DjvuImage ) as image :
# Create an instance of PngOptions and Set ColorType to Grayscale
export_options = PngOptions ()
export_options . color_type = PngColorType . GRAYSCALE
# Create an instance of Rectangle and specify the portion on DjVu page
export_area = Rectangle ( 0 , 0 , 500 , 500 )
# Specify the DjVu page index and Initialize an instance of DjvuMultiPageOptions while passing index of DjVu page index and instance of Rectangle covering the area to be exported
export_page_index = 0
export_options . multi_page_options = DjvuMultiPageOptions ( export_page_index , export_area )
image . save ( os . path . join ( data_dir , «result.png» ), export_options )
if delete_output :
os . remove ( os . path . join ( data_dir , «result.png» ))
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import aspose . pycore as aspycore
from aspose . imaging import Image , LoadOptions
from aspose . imaging . fileformats . djvu import DjvuImage
from aspose . imaging . imageoptions import PngOptions
import os
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
# Setting a memory limit of 50 megabytes for target loaded image
obj_init = LoadOptions ()
obj_init . buffer_size_hint = 50
with aspycore . as_of ( Image . load ( os . path . join ( data_dir , «template.djvu» ), obj_init ), DjvuImage ) as image :
page_num = 0
for page in image . pages :
out_file = os . path . join ( data_dir , f»page < page_num >.png» )
page . save ( out_file , PngOptions ())
if delete_output :
os . remove ( out_file )
page_num += 1

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import aspose . pycore as aspycore
from aspose . imaging import Image
from aspose . imaging . imageoptions import PngOptions
import os
import threading
if ‘TEMPLATE_DIR’ in os . environ :
templates_folder = os . environ [ ‘TEMPLATE_DIR’ ]
else :
templates_folder = r»C:\Users\USER\Downloads\templates»
delete_output = ‘SAVE_OUTPUT’ not in os . environ
data_dir = templates_folder
num_threads = 5
def thread_func ( path , output_file ):
try :
with Image . load ( path ) as image :
image . save ( output_file , PngOptions ())
finally :
if delete_output :
os . remove ( output_file )
input_file = os . path . join ( data_dir , «template.djvu» )
threads = []
for task_num in range ( num_threads ):
output_file = os . path . join ( data_dir , f»result_task < task_num >.png» )
thread = threading . Thread ( target = thread_func , args = ( input_file , output_file ))
threads . append ( thread )
thread . start ()
for thread in threads :
thread . join ()
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angeloped / djvu2pdf.py

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#!/bin/python
import os
import sys
import time
import thread
# author: ~/angeloped
stat = []
def convrt ( fpath , fname ):
print ( «converting \» / \» . » . format ( fpath , fname ))
os . system ( «djvups \» / \» | ps2pdf — \» /pdfied/ \» » . format ( fpath , fname , fname . replace ( «.djvu» , «.pdf» )))
stat . pop ()
if __name__ == «__main__» :
if len ( sys . argv ) == 1 :
fpath = os . getcwd ()
elif len ( sys . argv )
buff_limit = int ( sys . argv [ 2 ]) if len ( sys . argv ) == 3 else 6
if os . path . exists ( sys . argv [ 1 ]):
fpath = sys . argv [ 1 ]
else :
print ( «target path not found.. setting ‘./’ as cwd.» )
fpath = os . getcwd ()
else :
print ( «simple usage: python djvu2pdf.py » )
if not os . path . exists ( «/pdfied» . format ( fpath )):
os . mkdir ( «/pdfied» . format ( fpath ))
for fname in os . listdir ( fpath ):
while len ( stat ) == buff_limit : # process limiter
time . sleep ( 1 )
if fname [ — 5 :] == «.djvu» :
thread . start_new_thread ( convrt , ( fpath , fname ,))
stat . append ( «» )
while bool ( stat ):
time . sleep ( 1 )

Источник

Convert DJVU to PDF using Python language

Transform DJVU to PDF using native Python language APIs and without need of any image editor or 3rd-party libraries.

Aspose.Imaging for Python

Overview

Download from PyPI

Easily get Aspose.Imaging for Python directly from PyPI using pip install aspose-imaging.

How to Convert DJVU to PDF Using Python

In order to convert DJVU to PDF, we’ll use Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.

The system command line

>> pip install aspose-imaging-python-net 

Steps to Convert DJVU to PDF via Python

Developers can easily load & convert DJVU files to PDF in just a few lines of code.

  • Load DJVU file with Image.load method
  • Create & set the instance of required subclass of ImageOptionsBase (e.g. BmpOptions, PngOptions, etc.)
  • Call the Image.save method
  • Pass file path with PDF extension & object of ImageOptionsBase class

System Requirements

Before running the conversion example code, make sure that you have the following prerequisites.

Free App to Convert DJVU to PDF

  • Select or drag and drop DJVU image
  • Choose format and click Convert button
  • Click Download button to download PDF image

Convert DJVU to PDF — Python

DJVU What is DJVU File Format

DjVu, pronounced as “déjà vu”, is a graphics file format intended for scanned documents and books especially those which contain the combination of text, drawings, images and photographs. It was developed by AT&T Labs. It uses multiple techniques like image layer separation of text and background images, progressive loading, arithmetic coding and lossy compression for bitonal images. Since DJVU file can contain compressed yet high-quality colour images, photographs, text, and drawings and can be saved in less space therefore, it’s used on web as eBooks, manuals, newspapers, ancient documents, etc.

PDF What is PDF File Format

Portable Document Format (PDF) is a type of document created by Adobe back in 1990s. The purpose of this file format was to introduce a standard for representation of documents and other reference material in a format that is independent of application software, hardware as well as Operating System. The PDF file format has full capability to contain information like text, images, hyperlinks, form-fields, rich media, digital signatures, attachments, metadata, Geospatial features and 3D objects in it that can become as part of source document.

Other Supported Conversions

Using Python, one can easily convert different formats including.

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