spispna.pdf parser

Introduction

The SPI SPNA (Scanned Page Image) format is a widely used format for storing scanned documents, particularly in the medical and financial industries. The SPNA format contains metadata and image data that describes the scanned document, including the page layout, text, and images. In this tutorial, we will introduce the spispna.pdf parser, a Python library that allows you to extract metadata and image data from SPNA files and convert them to PDF format.

What is the spispna.pdf parser?

The spispna.pdf parser is a Python library that provides a simple and efficient way to parse SPNA files and extract their contents. The parser can read SPNA files and extract the following information:

• Metadata: such as document title, author, creation date, and page count
• Page layout: including the number of pages, page size, and page orientation
• Text: including the text content of each page
• Images: including the image data and metadata (such as image size and format)

The parser can also convert the extracted data to PDF format, allowing you to save the extracted data in a standard PDF file.

Getting Started

To use the spispna.pdf parser, you will need to install it using pip:

pip install spispna

Once installed, you can import the parser and start parsing SPNA files:

import spispna

# Open the SPNA file
with open('example.spna', 'rb') as f:
    spna_data = f.read()

# Parse the SPNA file
spna = spispna.SPNA(spna_data)

# Print the metadata
print(spna.metadata)

# Extract the page layout
pages = spna.pages
for page in pages:
    print(page.size)
    print(page.orientation)

# Extract the text
text = spna.extract_text()
print(text)

# Extract the images
images = spna.extract_images()
for image in images:
    print(image.size)
    print(image.format)

Parsing the SPNA File

To parse the SPNA file, you need to create an instance of the SPNA class and pass the SPNA file data to it. The SPNA class has several methods that allow you to extract the metadata, page layout, text, and images from the SPNA file.

Metadata Extraction

To extract the metadata from the SPNA file, you can use the metadata attribute of the SPNA class. The metadata attribute is a dictionary that contains the following keys:

• title: the title of the document
• author: the author of the document
• creation_date: the creation date of the document
• page_count: the number of pages in the document

Here is an example of how to extract the metadata:

metadata = spna.metadata
print(metadata['title'])  # prints the title of the document
print(metadata['author'])  # prints the author of the document
print(metadata['creation_date'])  # prints the creation date of the document
print(metadata['page_count'])  # prints the number of pages in the document

Page Layout Extraction

To extract the page layout from the SPNA file, you can use the pages attribute of the SPNA class. The pages attribute is a list of Page objects, each of which represents a page in the document. The Page object has several attributes that allow you to extract the page layout:

• size: the size of the page (width and height)
• orientation: the orientation of the page (portrait or landscape)
• image: the image data for the page

Here is an example of how to extract the page layout:

pages = spna.pages
for page in pages:
    print(page.size)  # prints the size of the page
    print(page.orientation)  # prints the orientation of the page
    print(page.image)  # prints the image data for the page

Text Extraction

To extract the text from the SPNA file, you can use the extract_text() method of the SPNA class. This method returns a string that contains the text content of the document.

Here is an example of how to extract the text:

text = spna.extract_text()
print(text)  # prints the text content of the document

Image Extraction

To extract the images from the SPNA file, you can use the extract_images() method of the SPNA class. This method returns a list of Image objects, each of which represents an image in the document. The Image object has several attributes that allow you to extract the image data:

• size: the size of the image (width and height)
• format: the format of the image (e.g. JPEG, PNG)
• data: the image data

Here is an example of how to extract the images:

images = spna.extract_images()
for image in images:
    print(image.size)  # prints the size of the image
    print(image.format)  # prints the format of the image
    print(image.data)  # prints the image data

Converting to PDF

To convert the extracted data to PDF format, you can use the to_pdf() method of the SPNA class. This method takes a file-like object as an argument and writes the PDF data to it.

Here is an example of how to convert the extracted data to PDF:

with open('output.pdf', 'wb') as f:
    spna.to_pdf(f)

This will create a new PDF file called output.pdf that contains the extracted metadata, page layout, text, and images.

Conclusion

In this tutorial, we have introduced the spispna.pdf parser and demonstrated how to use it to extract metadata, page layout, text, and images from SPNA files and convert them to PDF format. We hope this tutorial has been helpful in getting you started with using the spispna.pdf parser.