English | 中文

pdf2docx

python-version codecov pypi-version license pypi-downloads

  • Extract data from PDF with PyMuPDF, e.g. text, images and drawings
  • Parse layout with rule, e.g. sections, paragraphs, images and tables
  • Generate docx with python-docx

Features

  • Parse and re-create page layout

    • page margin
    • section and column (1 or 2 columns only)
    • page header and footer [TODO]

  • Parse and re-create paragraph

    • OCR text [TODO]
    • text in horizontal/vertical direction: from left to right, from bottom to top
    • font style, e.g. font name, size, weight, italic and color
    • text format, e.g. highlight, underline, strike-through
    • list style [TODO]
    • external hyper link
    • paragraph horizontal alignment (left/right/center/justify) and vertical spacing

  • Parse and re-create image

    • in-line image
    • image in Gray/RGB/CMYK mode
    • transparent image
    • floating image, i.e. picture behind text

  • Parse and re-create table

    • border style, e.g. width, color
    • shading style, i.e. background color
    • merged cells
    • vertical direction cell
    • table with partly hidden borders
    • nested tables

  • Parsing pages with multi-processing

It can also be used as a tool to extract table contents since both table content and format/style is parsed.

Limitations

  • Text-based PDF file
  • Left to right language
  • Normal reading direction, no word transformation / rotation
  • Rule-based method can't 100% convert the PDF layout

Documentation

Sample

sample_compare.png

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.5.13)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for dothinking from gravatar.com dothinking

Credits

Author: Artifex

License

GNU AFFERO GPL 3.0

Requires

Python >=3.10

Tags

pdf-to-word pdf-to-docx

Report project as malware

Download files

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

Source Distribution

pdf2docx-0.5.9.tar.gz (8.1 MB view details)

Uploaded Source

Built Distribution

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

pdf2docx-0.5.9-py3-none-any.whl (133.8 kB view details)

Uploaded Python 3

File details

Details for the file pdf2docx-0.5.9.tar.gz.

File metadata

  • Download URL: pdf2docx-0.5.9.tar.gz
  • Upload date:
  • Size: 8.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for pdf2docx-0.5.9.tar.gz
Algorithm Hash digest
SHA256 c183ee4061353d49672b2492eb48a2bb881894d4509489ada5a9b6cadb7231a4
MD5 ac1298c35cf0ee49919b48b3f6718f47
BLAKE2b-256 88a71a8e856806fe8590d333cc26019a02a4654d4fe10ef7f86065d46c56f41e

See more details on using hashes here.

File details

Details for the file pdf2docx-0.5.9-py3-none-any.whl.

File metadata

  • Download URL: pdf2docx-0.5.9-py3-none-any.whl
  • Upload date:
  • Size: 133.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for pdf2docx-0.5.9-py3-none-any.whl
Algorithm Hash digest
SHA256 797fc0154d6e9be5ffc425907e5df2a4270110e4fcd296144b8d4232cd2267bb
MD5 29ff7d8d862f23fa892776bf848d8f4c
BLAKE2b-256 e38c747e9026ebfd6af6effa84a5c977ac3a20045d3ba7f56c90c95546da35ec

See more details on using hashes here.

Release history Release notifications | RSS feed

0.5.13

2 files

0.5.12

2 files

0.5.11

2 files

0.5.10

2 files

This release

0.5.9 This release

2 files

0.5.8

2 files

0.5.7

2 files

0.5.6

2 files

0.5.5

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

0.4.6

2 files

0.4.5

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.5

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.0

2 files

0.1.0

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page