pdf2docx

pdf2docx

Artifex
+
+

Related Products

  • Square 9
    411 Ratings
    Visit Website
  • Nutrient SDK
    108 Ratings
    Visit Website
  • Apryse PDF SDK
    154 Ratings
    Visit Website
  • Declarative Webhooks
    3 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • MyQ
    194 Ratings
    Visit Website
  • Docmosis
    50 Ratings
    Visit Website
  • ContractSafe
    293 Ratings
    Visit Website
  • UnForm
    19 Ratings
    Visit Website
  • LinkSquares
    713 Ratings
    Visit Website

About

Sensible is an API-first document-processing platform designed to enable developers and product teams to convert unstructured documents into structured data with minimal overhead. It supports extraction from PDFs, images, emails, and spreadsheets using a combination of LLM-based parsing and visual layout-rule engines. With over 150 pre-configured document-type parsers for common business forms (bank statements, invoices, policy declarations, utility bills, EOBs), organizations can accelerate deployment, while custom configurations allow unique workflows. It offers classification of document types via a dedicated classify endpoint, automatically identifying the form type before extraction, reducing manual pre-routing of files. Integration is straightforward through REST APIs, Webhooks, and SDKs (JavaScript, Python), allowing ingestion of documents in development and production environments with versioning support.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and product teams building applications needing a tool to automate extraction of data from documents and embed document-processing workflows via API

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$449 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Sensible
United States
www.sensible.so/

Company Information

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

Alternatives

Alternatives

AnyParser

AnyParser

CambioML
PDF.co

PDF.co

ByteScout
PDF Conversa

PDF Conversa

ASCOMP Software

Categories

Categories

PDF

Integrations

Python
Amazon Web Services (AWS)
GitHub
JavaScript
Microsoft Word
PyMuPDF
PyPI

Integrations

Python
Amazon Web Services (AWS)
GitHub
JavaScript
Microsoft Word
PyMuPDF
PyPI
Claim Sensible and update features and information
Claim Sensible and update features and information
Claim pdf2docx and update features and information
Claim pdf2docx and update features and information