Prodigy

Prodigy

Explosion
PyMuPDF

PyMuPDF

Artifex
+
+

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About

Radically efficient machine teaching. An annotation tool powered by active learning. Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. You'll move faster, be more independent and ship far more successful projects. Prodigy brings together state-of-the-art insights from machine learning and user experience. With its continuous active learning system, you're only asked to annotate examples the model does not already know the answer to. The web application is powerful, extensible and follows modern UX principles. The secret is very simple: it's designed to help you focus on one decision at a time and keep you clicking – like Tinder for data.

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).

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

Data scientists, AI developers, data labelers

Audience

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

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

$490 one-time fee
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

Explosion
Founded: 2016
Germany
prodi.gy/

Company Information

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

Alternatives

Alternatives

PDFKit.NET 5.0

PDFKit.NET 5.0

TallComponents
JPedal

JPedal

IDR Solutions
PDF Agile

PDF Agile

DocuAgile
BuildVu

BuildVu

IDR Solutions
UPDF

UPDF

Superace Software Technology Co., Ltd.

Categories

Categories

PDF

Data Labeling Features

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Integrations

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

Integrations

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