PyMuPDF

PyMuPDF

Artifex
+
+

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About

PyMuPDF is a high-performance, Python-centric library for reading, extracting, and manipulating PDFs with ease and precision. It enables developers to access text, images, fonts, annotations, metadata, and structural layout of PDF documents, and to perform tasks such as extracting content, editing objects, rendering pages, searching text, modifying page content, and manipulating PDF components like links and annotations. PyMuPDF also supports advanced operations like splitting, merging, inserting, or deleting pages; drawing and filling shapes; handling color spaces; and converting between formats. The library is lightweight but robust, optimized for speed and low memory overhead. On top of the base PyMuPDF, PyMuPDF Pro adds support for reading and writing Microsoft Office-format documents and enhanced functionality for integrating Large Language Model (LLM) pipelines and Retrieval Augmented Generation (RAG).

About

Extend awareness of the power of 3D reconstruction from images and photogrammetry by developing a C++ framework. Simplify reproducible research with easy-to-read and accurate implementation of state of the art and "classic" algorithms. OpenMVG is designed to be easy to read, learn, modify and use. Thanks to its strict test-driven development and samples, the library allows to build trusted larger systems. OpenMVG provides an end-to-end 3D reconstruction from images framework compounded of libraries, binaries, and pipelines. The libraries provide easy access to features like images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, etc. The binaries solve unit tasks that a pipeline could require scene initialization, feature detection & matching and structure-from-motion reconstruction.

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, engineers, or automation teams interested in a solution to extract, render, edit, or convert PDFs in Python-based or cross-platform workflows

Audience

Anyone seeking an open multiple view geometry library for 3D computer vision and structure from motion

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

No information available.
Free Version
Free Trial

Pricing

No information available.
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

Artifex
Founded: 1993
United States
artifex.com/products#pymupdf

Company Information

openMVG
github.com/openMVG/openMVG

Alternatives

JPedal

JPedal

IDR Solutions

Alternatives

LightPDF

LightPDF

Wangxu Technology Co.,Ltd.
PDF Agile

PDF Agile

DocuAgile
BuildVu

BuildVu

IDR Solutions
Meshroom

Meshroom

AliceVision
UPDF

UPDF

Superace Software Technology Co., Ltd.

Categories

PDF

Categories

Integrations

.NET
Hugging Face
JavaScript
LangChain
Llama
Make
Microsoft Excel
Microsoft Office 2024
Microsoft PowerPoint
Microsoft Word
Node.js
NuGet
Postscript
Python
Zapier
pdf2docx

Integrations

.NET
Hugging Face
JavaScript
LangChain
Llama
Make
Microsoft Excel
Microsoft Office 2024
Microsoft PowerPoint
Microsoft Word
Node.js
NuGet
Postscript
Python
Zapier
pdf2docx
Claim PyMuPDF and update features and information
Claim PyMuPDF and update features and information
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Claim openMVG and update features and information