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
GitHub Repository
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation: Work In Progress, Results can't be replicated yet with the m

Yad Konrad 196 Aug 30, 2022
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Medical Image Segmentation with Guided Attention This repository contains the code of our paper: "'Multi-scale self-guided attention for medical image

Ashish Sinha 394 Dec 28, 2022
Official implementation for "Image Quality Assessment using Contrastive Learning"

Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli and Alan C. Bovik This is the offi

Pavan Chennagiri 67 Dec 30, 2022
TensorFlow Tutorials with YouTube Videos

TensorFlow Tutorials Original repository on GitHub Original author is Magnus Erik Hvass Pedersen Introduction These tutorials are intended for beginne

9.1k Jan 02, 2023
🐤 Nix-TTS: An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation

🐤 Nix-TTS An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji

Rendi Chevi 156 Jan 09, 2023
Projecting interval uncertainty through the discrete Fourier transform

Projecting interval uncertainty through the discrete Fourier transform This repo

1 Mar 02, 2022
Composing methods for ML training efficiency

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training.

MosaicML 2.8k Jan 08, 2023
Spearmint Bayesian optimization codebase

Spearmint Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically run experiments (thus the code n

Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton 1.5k Dec 29, 2022
CURL: Contrastive Unsupervised Representations for Reinforcement Learning

CURL Rainbow Status: Archive (code is provided as-is, no updates expected) This is an implementation of CURL: Contrastive Unsupervised Representations

Aravind Srinivas 46 Dec 12, 2022
Search Youtube Video and Get Video info

PyYouTube Get Video Data from YouTube link Installation pip install PyYouTube How to use it ? Get Videos Data from pyyoutube import Data yt = Data("ht

lokaman chendekar 35 Nov 25, 2022
Tensorflow 2.x implementation of Panoramic BlitzNet for object detection and semantic segmentation on indoor panoramic images.

Deep neural network for object detection and semantic segmentation on indoor panoramic images. The implementation is based on the papers:

Alejandro de Nova Guerrero 9 Nov 24, 2022
RoFormer_pytorch

PyTorch RoFormer 原版Tensorflow权重(https://github.com/ZhuiyiTechnology/roformer) chinese_roformer_L-12_H-768_A-12.zip (提取码：xy9x) 已经转化为PyTorch权重 chinese_r

yujun 283 Dec 12, 2022
RTSeg: Real-time Semantic Segmentation Comparative Study

Real-time Semantic Segmentation Comparative Study The repository contains the official TensorFlow code used in our papers: RTSEG: REAL-TIME SEMANTIC S

Mennatullah Siam 592 Nov 18, 2022
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"

Lidar-Segementation An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from

Wangxu1996 135 Jan 06, 2023
simple demo codes for Learning to Teach with Dynamic Loss Functions

Learning to Teach with Dynamic Loss Functions This repo contains the simple demo for the NeurIPS-18 paper: Learning to Teach with Dynamic Loss Functio

Lijun Wu 15 Dec 30, 2021
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition Paper: MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition accepted fo

64 Dec 18, 2022
gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.

gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks. It is built on top of the OpenAI G

Robin Henry 99 Dec 12, 2022
SMIS - Semantically Multi-modal Image Synthesis(CVPR 2020)

Semantically Multi-modal Image Synthesis Project page / Paper / Demo Semantically Multi-modal Image Synthesis(CVPR2020). Zhen Zhu, Zhiliang Xu, Anshen

316 Dec 01, 2022
SAAVN - Sound Adversarial Audio-Visual Navigation,ICLR2022 (In PyTorch)

SAAVN SAAVN Code release for paper "Sound Adversarial Audio-Visual Navigation,IC

YinfengYu 10 Aug 30, 2022
Yolov5 + Deep Sort with PyTorch

딥소트 수정중 Yolov5 + Deep Sort with PyTorch Introduction This repository contains a two-stage-tracker. The detections generated by YOLOv5, a family of obj

1 Nov 26, 2021