74 lines
1.8 KiB
Markdown
74 lines
1.8 KiB
Markdown
# pdfparanoia
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pdfparanoia is a PDF watermark removal library for academic papers. Some
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publishers include private information like institution names, personal names,
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ip addresses, timestamps and other identifying information in watermarks on
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each page.
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pdfparanoia это библиотека для удаления водяных знаков из PDF файлов научных
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статей. Некоторые издатели включают личную информацию, такую как названия
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институтов, имена, IP-адреса, время и дату и другую информацию в водяные знаки
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содержащиеся на каждой странице.
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## Installing
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Simple.
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``` bash
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sudo pip install pdfparanoia
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```
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or,
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``` bash
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sudo python setup.py install
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```
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pdfparanoia is written for python2.7+ or python 3.
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You will also need to manually install "pdfminer" if you do not use pip to install pdfparanoia.
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For python versions prior to Python 3, use "pdfminer" from the Python Package Index (http://pypi.python.org). For recent versions of Python, use pdfminer3k instead.
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## Usage
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``` python
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import pdfparanoia
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pdf = pdfparanoia.scrub(open("nmat91417.pdf", "rb"))
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with open("output.pdf", "wb") as file_handler:
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file_handler.write(pdf)
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```
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or from the shell,
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``` bash
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pdfparanoia --verbose input.pdf -o output.pdf
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```
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and,
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``` bash
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cat input.pdf | pdfparanoia > output.pdf
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```
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## Supported
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* AIP
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* IEEE
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* JSTOR
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* RSC
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* SPIE (sort of)
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## Changelog
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* 0.0.13 - RSC
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* 0.0.12 - SPIE
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* 0.0.11 - pdfparanoia command-line interface. Use it by either piping in pdf data, or specifying a path to a pdf in the first argv slot.
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* 0.0.10 - JSTOR
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* 0.0.9 - AIP: better checks for false-positives; IEEE: remove stdout garbage.
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* 0.0.8 - IEEE
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## License
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BSD.
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