Metadata-Version: 2.1
Name: pdf2img
Version: 0.1.2
Summary: A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list.
Home-page: https://github.com/Belval/pdf2image
Author: Roman Grigoriev
Author-email: hjklvfr@list.ru
License: UNKNOWN
Description: # pdf2img
        port to python 2
        
        A python (3.5+) module that wraps pdftoppm and pdftocairo to convert PDF to a PIL Image object
        
        ## How to install
        
        `pip install pdf2image`
        
        ### Windows
        
        Windows users will have to build or download poppler for Windows. I recommend [@oschwartz10612 version](https://github.com/oschwartz10612/poppler-windows/releases/) which is the most up-to-date. You will then have to add the `bin/` folder to [PATH](https://www.architectryan.com/2018/03/17/add-to-the-path-on-windows-10/) or use `poppler_path = r"C:\path\to\poppler-xx\bin" as an argument` in `convert_from_path`.
        
        ### Mac
        
        Mac users will have to install [poppler for Mac](http://macappstore.org/poppler/).
        
        ### Linux
        
        Most distros ship with `pdftoppm` and `pdftocairo`. If they are not installed, refer to your package manager to install `poppler-utils`
        
        ### Platform-independant (Using `conda`)
        
        1. Install poppler: `conda install -c conda-forge poppler`
        2. Install pdf2image: `pip install pdf2image`
        
        ## How does it work?
        
        `from pdf2image import convert_from_path, convert_from_bytes`
        
        ```py
        from pdf2image.exceptions import (
            PDFInfoNotInstalledError,
            PDFPageCountError,
            PDFSyntaxError
        )
        ```
        
        Then simply do:
        
        ```py
        images = convert_from_path('/home/belval/example.pdf')
        ```
        
        OR
        
        ```py
        images = convert_from_bytes(open('/home/belval/example.pdf', 'rb').read())
        ```
        
        OR better yet
        
        ```py
        import tempfile
        
        with tempfile.TemporaryDirectory() as path:
            images_from_path = convert_from_path('/home/belval/example.pdf', output_folder=path)
            # Do something here
        ```
        
        `images` will be a list of PIL Image representing each page of the PDF document.
        
        Here are the definitions:
        
        `convert_from_path(pdf_path, dpi=200, output_folder=None, first_page=None, last_page=None, fmt='ppm', jpegopt=None, thread_count=1, userpw=None, use_cropbox=False, strict=False, transparent=False, single_file=False, output_file=str(uuid.uuid4()), poppler_path=None, grayscale=False, size=None, paths_only=False, use_pdftocairo=False, timeout=600)`
        
        `convert_from_bytes(pdf_file, dpi=200, output_folder=None, first_page=None, last_page=None, fmt='ppm', jpegopt=None, thread_count=1, userpw=None, use_cropbox=False, strict=False, transparent=False, single_file=False, output_file=str(uuid.uuid4()), poppler_path=None, grayscale=False, size=None, paths_only=False, use_pdftocairo=False, timeout=600)`
        
        ## Need help?
        
        Use the [mattermost chat](https://mattermost.belval.org/signup_user_complete/?id=3anaj34563rqjg4xm5tdcmu7qa) to ask questions on the helpdesk and get direct support.
        
        ## What's new?
        
        - Add `timeout` parameter which raises `PDFPopplerTimeoutError` after the given number of seconds.
        - Add `use_pdftocairo` parameter which forces `pdf2image` to use `pdftocairo`. Should improve performance.
        - Fixed a bug where using `pdf2image` with multiple threads (but not multiple processes) would cause and exception
        - `jpegopt` parameter allows for tuning of the output JPEG when using `fmt="jpeg"` (`-jpegopt` in pdftoppm CLI) (Thank you @abieler)
        - `pdfinfo_from_path` and `pdfinfo_from_bytes` which expose the output of the pdfinfo CLI
        - `paths_only` parameter will return image paths instead of Image objects, to prevent OOM when converting a big PDF
        - `size` parameter allows you to define the shape of the resulting images (`-scale-to` in pdftoppm CLI)
            - `size=400` will fit the image to a 400x400 box, preserving aspect ratio
            - `size=(400, None)` will make the image 400 pixels wide, preserving aspect ratio
            - `size=(500, 500)` will resize the image to 500x500 pixels, not preserving aspect ratio
        - `grayscale` parameter allows you to convert images to grayscale (`-gray` in pdftoppm CLI)
        - `single_file` parameter allows you to convert the first PDF page only, without adding digits at the end of the `output_file`
        - Allow the user to specify poppler's installation path with `poppler_path`
        
        ## Performance tips
        
        - Using an output folder is significantly faster if you are using an SSD. Otherwise i/o usually becomes the bottleneck.
        - Using multiple threads can give you some gains but avoid more than 4 as this will cause i/o bottleneck (even on my NVMe SSD!).
        - If i/o is your bottleneck, using the JPEG format can lead to significant gains.
        - PNG format is pretty slow, this is because of the compression.
        - If you want to know the best settings (most settings will be fine anyway) you can clone the project and run `python tests.py` to get timings.
        
        ## Limitations / known issues
        
        - A relatively big PDF will use up all your memory and cause the process to be killed (unless you use an output folder)
        
Keywords: pdf image png jpeg jpg convert
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 2
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
