Skip to main content

Convert common book file types to text for machine learning

Project description

Convert Ebook File

Overview

This Python script provides functionality for converting various ebook file formats (EPUB, DOCX, PDF, TXT) into a standardized text format. The script processes each file, identifying chapters, and replaces chapter headers with asterisks. It also performs OCR (Optical Character Recognition) for image-based text using GPT-4o and standardizes the text by desmartening punctuation.

Features

  • File Format Support: Handles EPUB, DOCX, PDF, and TXT formats.
  • Chapter Identification: Detects and marks chapter breaks.
  • OCR Capability: Converts text from images using OCR.
  • Text Standardization: Replaces smart punctuation with ASCII equivalents.

Requirements

To run this script, you need Python 3.9 or above and the following packages:

  • python-docx
  • openai
  • python-dotenv
  • bs4
  • pdfminer.six
  • pillow

Usage

  1. Ensure all dependencies are installed.
  2. Set your environment variable for the OpenAI API key.
  3. Place your ebook files in a known directory.
  4. Run the script with the path to the ebook file and a metadata dictionary with keys of 'title' and 'author' as arguments.
  • set save_file to False, if you want a string returned.
  • provide a Path object of a file name to be written to, to use a custom output filename.

Functions

  • convert_file(file_path: Path, metadata: dict, *, save_file: bool = True, save_path: Optional[Path] = None) -> Union[str, None]: Main function to convert an ebook file to text.

Contributing

Contributions to this project are welcome. Please use Ruff for formatting to ensure that your code follows the existing style for consistency.

License

This project is licensed by ProsePal LLC under the MIT license

Version History

  • v0.1.0 (Release date: November 30, 2023)

    • Initial release
  • v0.1.1 (Release date: December 2, 2023)

    • fixed false positives for is_number
  • v0.2.0 (Release date: December 3, 2023)

    • Conversion of docx files
  • v0.3.0 (Release date: December 8, 2023)

    • Conversion of PDF files
  • v0.3.1 (Release date: January 23, 2024)

    • fixed concatenation of text in pdf conversion
    • updated pillow version to secure version
  • v1.0.0 (Release date: January 23, 2024)

    • created library instead of single module
  • v1.0.1 (Release date: March 13, 2024)

    • setup.py and requirements.txt typo fixed
  • v1.0.2 (Release date: May 17, 2024)

    • added tests, fixed minor typos
  • v1.1.0 (Release date: May 30, 2024)

    • Change to abstract factory pattern
  • v1.1.1 (Release date: May 31, 2024)

    • Pull current version of ebooklib from Github and folded it into library since package repo out of date
  • v1.1.2 (Release date: May 31, 2024)

    • FIX: Put ebooklib in correct directory.
  • v1.1.3 (Release date: October 27, 2024)

    • FIX: Initialize logging
  • v1.1.4 (Release date: November 7, 2024)

    • YANKED
  • v1.1.5 (Release date: November 7, 2024)

    • FIX: Move logging to own module
  • v1.1.6 (Release date: November 9, 2024)

    • FIX: Catch PDFSyntaxError and empty image lists, small performance improvement to run_ocr
  • v1.1.7 (Release date November 10, 2024)

    • FIX: Line concatenation issue in PDFs
  • v2.0.0 (Release date December 4, 2024)

    • REFACTOR: Converters are now packages with more streamlined constructors.
    • BREAKING FEATURE: ebook2text now takes Path objects instead of string filenames.
    • BREAKING FEATURE: Converters no longer have a ChapterSplit class. This is handled by the BookConversion class, with no more circular imports.
    • NEW FEATURE: convert_file now has optional save_file and save_path arguments to allow for custom output filenames or for a string to be returned instead.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ebook2text-2.0.0.tar.gz (49.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ebook2text-2.0.0-py3-none-any.whl (53.1 kB view details)

Uploaded Python 3

File details

Details for the file ebook2text-2.0.0.tar.gz.

File metadata

  • Download URL: ebook2text-2.0.0.tar.gz
  • Upload date:
  • Size: 49.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.6

File hashes

Hashes for ebook2text-2.0.0.tar.gz
Algorithm Hash digest
SHA256 4053efe28094e924c2620f29e95c0d81bb2e74f06b5934824232db827d42bfae
MD5 1f6fd9fce1355169b97aacf73ea3cbbe
BLAKE2b-256 320de050fc45d7e41eeeebdf88af07b9fb7874bfc33001aadc0167b7cfd7db02

See more details on using hashes here.

File details

Details for the file ebook2text-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: ebook2text-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 53.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.5.6

File hashes

Hashes for ebook2text-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 50f1c9a25da30b549f3053d05172743fa0d49bd51f175c1aa2604b4d8cba1bbe
MD5 1095df4b6454048ab0f24f7c90db4a8e
BLAKE2b-256 187d740c961f9e4dc5533b09bd0c1828f8ca509b0b5dba9e235755a1984610ba

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page