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JPEG2000

Convert DJVU to JPEG2000 via Python Cloud API

Transform DJVU into JPEG2000 using native Python Cloud APIs without needing any image editor or 3rd-party libraries.

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How to Convert DJVU to JPEG2000 Using Python Cloud API

Aspose.Imaging.Cloud for Python API which is a feature-rich, powerful and easy to use image manipulation and conversion Cloud API for Python platform. You can download its latest version directly from pypi.org or install it from pip command line.

Command Prompt


> pip install aspose-imaging-cloud

Steps to Convert DJVU to JPEG2000 via Python Cloud API

Developers can easily load & convert DJVU files to JPEG2000 in just a few lines of code.

  • Load DJVU file as stream
  • Create & set the instance of CreateConvertedImageRequest
  • Call the CreateConvertedImage method
  • Get converted image from response stream

System Requirements

Aspose.Imaging Cloud for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.

  • Python 2.7 or later.
 

Convert DJVU to JPEG2000 - Cloud

 

About Aspose.Imaging Cloud API for Python

Aspose.Imaging Cloud API is an image processing solution to process images (photos) within your cloud or web applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), transformations (resize, crop, flip&rotate, grayscale, adjust), advanced image manipulation features (filtering, deskewing), AI features (i.e. object detection and reverse image search). It’s a Cloud API and does not depend on any software for image operations. One can easily add high-performance image conversion features with Cloud APIs within projects. Flexible integrations options including SDKs for various languages (Python, Ruby, .NET, Java, NodeJS, PHP) and the use of the REST API allow to make the integration easy.

Convert DJVUs via Online App

Convert DJVU to JPEG2000 documents by visiting our Live Demos website. The live demo has the following benefits

  No need to download or setup anything
  No need to write any code
  Just upload your DJVU files and hit "Convert" button
  Instantly get the download link for the resultant file

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.

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JPEG2000 What is JPEG2000 File Format

JPEG 2000 (JP2) is an image coding system and state-of-the-art image compression standard. Designed, using wavelet technology JPEG 2000 can code lossless content in any quality at once. Moreover, without any substantial penalty in coding efficiency, JPEG 2000 have the capability to access and decode the same content efficaciously into a variety of other resolutions and qualities. The code streams in JPEG 2000 is significantly scalable having regions of interest that provide the facility for spatial random access. Possessing Up to 16384 diverse components with the dimensions in terapixels, and precision that can be high as 38 bits/sample.

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Other Supported Conversions

Using Python Cloud API, one can easily convert different formats including.

BMP (Bitmap Picture)
GIF (Graphical Interchange Format)
JPG (Joint Photographic Experts Group)
JPEG (Joint Photographic Experts Group)
JPEG2000 (JPEG 2000)
PSD (Photoshop Document)
TIFF (Tagged Image Format)
WEBP (Raster Web Image)
PNG (Portable Network Graphics)
DICOM (Digital Imaging & Communications)
PDF (Portable Document Format (PDF))
APNG (Animated Portable Network Graphics)
TGA (Targa Graphic)