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PDF Regenerator

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Stable Version Python Versions Download Stats GitHub last commit PDF Regenerator是开源且免费使用的,使其成为学生、研究人员和专业人士的宝贵工具。它兼容 Windows、Mac 和 Linux 操作系统。

PDF Regenerator可帮助您将PDF文档 转换为有辅助信息的PDF。 它可以执行以下功能:

  • 标记到索引单元:将 PDF 文档中的标记转换为索引单元,以便于快速导航和搜索。

免费功能

开发中

  • PPT或PPTX转PDF: 将PPT(X)转为PDF,方便学术研究者常常能够回顾知识

由于纯Python实现需要有ppt渲染引擎支持,目前开源社区无有效的解决方案,除了商用的库有支持。

付费功能

开发中


  • PDF图片超清重新生成
  • PDF移除只读PDF重新生成
  • PDF签名重新生成

安装

pip install pdf-regenerator

生成PDF目录

python3 -m pdf-regenerator $YOU_PDF_PATH $YOU_OUT_FILE_DIR

测试命令

python3 -m pdf-regenerator /Users/lilisi/PDFRegenerator/tests/asset/word2vec.pdf      

资源

Metadata

Release files for pdf-regenerator 0.0.20240319105703

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pdf-regenerator 0.0.20240319105703
File Size Uploaded
pdf_regenerator-0.0.20240319105703.tar.gz 3.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pdf-regenerator 0.0.20240319105703
File Interpreter ABI Platform
pdf_regenerator-0.0.20240319105703-py3-none-any.whl Python 3 none any Details

Total release size: 6.3 kB

Release files / pdf_regenerator-0.0.20240319105703.tar.gz

Download URL pdf_regenerator-0.0.20240319105703.tar.gz
Size 3.0 kB
Tags Source
SHA-256 checksum
How to use checksums
a472011069eb81331659040b72a28041fd4345cbf007e7b384bf877badc331e4
BLAKE2b-256 checksum
How to use checksums
cce797fc64e5f9251ab02e298fa7e427c12a5caea3d18ab4afdaaf85a06f8c8d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / pdf_regenerator-0.0.20240319105703-py3-none-any.whl

Download URL pdf_regenerator-0.0.20240319105703-py3-none-any.whl
Size 3.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e249e35bb9a1a3f081ae732db350b219c2e080fa64c903ac0b5ed4bbc006649d
BLAKE2b-256 checksum
How to use checksums
c55a2d401487f9eadf325e5e08ac440e3f8fd4ff274b9fa8636a1d411ef2dea6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2
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