PyMuPDFArtifex
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Related Products
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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).
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers, engineers, or automation teams interested in a solution to extract, render, edit, or convert PDFs in Python-based or cross-platform workflows
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Audience
Anyone seeking an open multiple view geometry library for 3D computer vision and structure from motion
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationArtifex
Founded: 1993
United States
artifex.com/products#pymupdf
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Company InformationopenMVG
github.com/openMVG/openMVG
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
.NET
Hugging Face
JavaScript
LangChain
Llama
Make
Microsoft Excel
Microsoft Office 2024
Microsoft PowerPoint
Microsoft Word
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Integrations
.NET
Hugging Face
JavaScript
LangChain
Llama
Make
Microsoft Excel
Microsoft Office 2024
Microsoft PowerPoint
Microsoft Word
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