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

Reducto is a document-ingestion API that enables organizations to convert complex, unstructured documents, such as PDFs, images, and spreadsheets, into clean, structured outputs ready for large language model workflows and production pipelines. Its parsing engine reads documents as a human would, capturing layout, structure, tables, figures, and text regions with high accuracy; an “Agentic OCR” layer then reviews and corrects outputs in real time, enabling reliable results even in challenging edge cases. The platform enables automatic splitting of multi-document files or lengthy forms into individually useful units, using layout-aware heuristics to streamline pipelines without manual preprocessing. Once split, Reducto supports schema-level extraction of structured data, such as invoice fields, onboarding forms, or financial disclosures, so that the right information lands exactly where it is needed. The technology first applies layout-aware vision models to break down visual structure.

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

Enterprise AI teams and workflow engineers needing a solution to automate the ingestion and structuring of unstructured document data into reliable, LLM-ready formats

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

$0.015 per credit
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

Reducto
United States
reducto.ai/

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Categories

PDF

Categories

Integrations

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

Integrations

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