pdf2docx

pdf2docx

Artifex
+
+

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About

TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks.

About

pdf2docx is a Python library that uses PyMuPDF to extract data from PDF files, parse their layouts according to rules, and generate corresponding .docx files via python-docx. It supports conversion of text, images, tables, and other structural elements; it includes tools to extract tables, handle formatting, and preserve layout as much as possible. It offers both a command-line interface and a graphical user interface. The internal architecture is modular; it includes packages for handling pages, layout, tables, images, shape paths, text spans/blocks, and other elements, enabling fine control over how PDF content is mapped into Word documents. Developers can use the API for batch conversions or integrate it into workflows; there's documentation on installation (from PyPI or source), usage, and technical details of layout-parsing, table extraction, and internal modules. The project is open source, hosted on GitHub, and made available under its license with no warranty.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Python developers and data scientists seeking a solution for performing a wide range of natural language processing tasks

Audience

Technical users seeking a solution to convert PDF documents into Word format programmatically while preserving layout, tables, images, and text structure

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

TextBlob
United States
textblob.readthedocs.io/en/dev/

Company Information

Artifex
Founded: 1993
United States
pdf2docx.readthedocs.io/en/latest/

Alternatives

Alternatives

PDF Conversa

PDF Conversa

ASCOMP Software
Ginger

Ginger

Ginger Software
AnyParser

AnyParser

CambioML
PDF.co

PDF.co

ByteScout

Categories

Categories

PDF Supported

Integrations

Python Supported
GitHub Not Supported
Microsoft Word Not Supported
NLTK Supported
PyMuPDF Not Supported
PyPI Not Supported

Integrations

Python Supported
GitHub Supported
Microsoft Word Supported
NLTK Not Supported
PyMuPDF Supported
PyPI Supported
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