A modern pure-Python library for reading PDF files

Related tags

Deep Learningpdf
Overview

PyPI version Code Actions Status Code style: black

pdf

A modern pure-Python library for reading PDF files.

The goal is to have a modern interface to handle PDF files which is consistent with itself and typical Python syntax.

The library should be Python-only (hence no C-extensions), but allow to change the backend. Similar in concept to matplotlib backends and Keras backends.

The default backend could be PyPDF2.

Possible other backends could be PyMuPDF (using MuPDF) and PikePDF (using QPDF).

WARNING: This library is UNSTABLE at the moment! Expect many changes!

Installation

pip install pdffile

Usage

Retrieve Metadata

>>> import pdf

>>> doc = pdf.PdfFile("001-trivial/minimal-document.pdf")
>>> len(doc)
1

>>> doc.metadata
Metadata(
    title=None,
    producer='pdfTeX-1.40.23',
    creator='TeX',
    creation_date=datetime.datetime(2022, 4, 3, 18, 5, 42),
    modification_date=datetime.datetime(2022, 4, 3, 18, 5, 42)
    other={
         '/CreationDate': "D:20220403180542+02'00'",
         '/ModDate': "D:20220403180542+02'00'",
         '/Trapped': '/False',
         '/PTEX.Fullbanner': 'This is pdfTeX, V...'})

Encrypted PDFs

If you have an encrypted PDF, just provide the key:

doc = pdf.PdfFile(pdf_path, password=password)

All following operations work just as described.

Get Outline

>>> import pdf
>>> doc = pdf.PdfFile(pdf_path, password=password)
>>> doc.outline
[
    Links(page=5, text='1 Header'),
    Links(page=5, text='1.1 A section'),
    Links(page=9, text='2 Foobar'),
    Links(page=108, text='References')
]

Extract Text

>>> import pdf
>>> doc = pdf.PdfFile("001-trivial/minimal-document.pdf")
>>> doc[0]
<pdf.PdfPage object at 0x7f72d2b04100>
>>> doc[0].text
'Loremipsumdolorsitamet,consetetursadipscingelitr,seddiamnonumyeirmod\ntemporinviduntutlaboreetdoloremagnaaliquyamerat,seddiamvoluptua.Atvero\neosetaccusametjustoduodoloresetearebum.Stetclitakasdgubergren,noseataki-\nmatasanctusestLoremipsumdolorsitamet.Loremipsumdolorsitamet,consetetur\nsadipscingelitr,seddiamnonumyeirmodtemporinviduntutlaboreetdoloremagna\naliquyamerat,seddiamvoluptua.Atveroeosetaccusametjustoduodoloresetea\nrebum.Stetclitakasdgubergren,noseatakimatasanctusestLoremipsumdolorsit\namet.\n1\n'

Alternatively, you can use doc.text to get the text of all pages.

Owner
The py-pdf organization maintains Python packages that deal with the PDF file format
Node for thenewboston digital currency network.

Project setup For project setup see INSTALL.rst Community Join the community to stay updated on the most recent developments, project roadmaps, and ra

thenewboston 27 Jul 08, 2022
Flax is a neural network ecosystem for JAX that is designed for flexibility.

Flax: A neural network library and ecosystem for JAX designed for flexibility Overview | Quick install | What does Flax look like? | Documentation See

Google 3.9k Jan 02, 2023
Example of a Quantum LSTM

Example of a Quantum LSTM

Riccardo Di Sipio 36 Oct 31, 2022
Acoustic mosquito detection code with Bayesian Neural Networks

HumBugDB Acoustic mosquito detection with Bayesian Neural Networks. Extract audio or features from our large-scale dataset on Zenodo. This repository

31 Nov 28, 2022
Fast sparse deep learning on CPUs

SPARSEDNN **If you want to use this repo, please send me an email: [email pro

Ziheng Wang 44 Nov 30, 2022
Evaluation suite for large-scale language models.

This repo contains code for running the evaluations and reproducing the results from the Jurassic-1 Technical Paper (see blog post), with current support for running the tasks through both the AI21 S

71 Dec 17, 2022
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Generative Models Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. Also present here are RBM and Helmholtz Machine. Note: Gen

Agustinus Kristiadi 7k Jan 02, 2023
Largest list of models for Core ML (for iOS 11+)

Since iOS 11, Apple released Core ML framework to help developers integrate machine learning models into applications. The official documentation We'v

Kedan Li 5.6k Jan 08, 2023
Exploring whether attention is necessary for vision transformers

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet Paper/Report TL;DR We replace the attention layer in a v

Luke Melas-Kyriazi 461 Jan 07, 2023
This is a collection of our NAS and Vision Transformer work.

AutoML - Neural Architecture Search This is a collection of our AutoML-NAS work iRPE (NEW): Rethinking and Improving Relative Position Encoding for Vi

Microsoft 828 Dec 28, 2022
AI Toolkit for Healthcare Imaging

Medical Open Network for AI MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. Its am

Project MONAI 3.7k Jan 07, 2023
Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

NÜWA - Pytorch (wip) Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch. This repository will be popul

Phil Wang 463 Dec 28, 2022
A library for efficient similarity search and clustering of dense vectors.

Faiss Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any

Meta Research 18.8k Jan 08, 2023
Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling

Gymjsp Gymjsp is an open source Python library, which uses the OpenAI Gym interface for easily instantiating and interacting with RL environments, and

134 Dec 08, 2022
Pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering".

TRAnsformer Routing Networks (TRAR) This is an official implementation for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visu

Ren Tianhe 49 Nov 10, 2022
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce (EMNLP Founding 2021)

Introduction K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. Installation PyTor

Xu Song 21 Nov 16, 2022
Code related to the manuscript "Averting A Crisis In Simulation-Based Inference"

Abstract We present extensive empirical evidence showing that current Bayesian simulation-based inference algorithms are inadequate for the falsificat

Montefiore Artificial Intelligence Research 3 Nov 14, 2022
ruptures: change point detection in Python

Welcome to ruptures ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation

Charles T. 1.1k Jan 03, 2023
StableSims is an open-source project aimed at simulating MakerDAO's Dai stablecoin system

StableSims is an open-source project aimed at simulating MakerDAO's Dai stablecoin system, initially used for researching optimal incentive parameters for Liquidations 2.0.

Blockchain at Berkeley 52 Nov 21, 2022
Non-Attentive-Tacotron - This is Pytorch Implementation of Google's Non-attentive Tacotron.

Non-attentive Tacotron - PyTorch Implementation This is Pytorch Implementation of Google's Non-attentive Tacotron, text-to-speech system. There is som

Jounghee Kim 46 Dec 19, 2022