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
A general framework for deep learning experiments under PyTorch based on pytorch-lightning

torchx Torchx is a general framework for deep learning experiments under PyTorch based on pytorch-lightning. TODO list gan-like training wrapper text

Yingtian Liu 6 Mar 17, 2022
A PaddlePaddle version of Neural Renderer, refer to its PyTorch version

Neural 3D Mesh Renderer in PadddlePaddle A PaddlePaddle version of Neural Renderer, refer to its PyTorch version Install Run: pip install neural-rende

AgentMaker 13 Jul 12, 2022
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors, CVPR 2021

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors Human POSEitioning System (H

Aymen Mir 66 Dec 21, 2022
The code for two papers: Feedback Transformer and Expire-Span.

transformer-sequential This repo contains the code for two papers: Feedback Transformer Expire-Span The training code is structured for long sequentia

Facebook Research 125 Dec 25, 2022
Some methods for comparing network representations in deep learning and neuroscience.

Generalized Shape Metrics on Neural Representations In neuroscience and in deep learning, quantifying the (dis)similarity of neural representations ac

Alex Williams 45 Dec 27, 2022
An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Transformer-in-Transformer An Implementation of the Transformer in Transformer paper by Han et al. for image classification, attention inside local pa

Rishit Dagli 40 Jul 25, 2022
Embeddinghub is a database built for machine learning embeddings.

Embeddinghub is a database built for machine learning embeddings.

Featureform 1.2k Jan 01, 2023
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021) The implementation of Reducing Infromation Bottleneck for W

Jungbeom Lee 81 Dec 16, 2022
Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

advantage-weighted-regression Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning, by Peng et al. (

Omar D. Domingues 1 Dec 02, 2021
A toy project using OpenCV and PyMunk

A toy project using OpenCV, PyMunk and Mediapipe the source code for my LindkedIn post It's just a toy project and I didn't write a documentation yet,

Amirabbas Asadi 82 Oct 28, 2022
A chemical analysis of lipophilicities & molecule drawings including ML

A chemical analysis of lipophilicity & molecule drawings including a bit of ML analysis. This is a simple project that includes two Jupyter files (one

Aurimas A. Nausėdas 7 Nov 22, 2022
Code for the paper "Jukebox: A Generative Model for Music"

Status: Archive (code is provided as-is, no updates expected) Jukebox Code for "Jukebox: A Generative Model for Music" Paper Blog Explorer Colab Insta

OpenAI 6k Jan 02, 2023
Implementation of ICCV 2021 oral paper -- A Novel Self-Supervised Learning for Gaussian Mixture Model

SS-GMM Implementation of ICCV 2021 oral paper -- Self-Supervised Image Prior Learning with GMM from a Single Noisy Image with supplementary material R

HUST-The Tan Lab 4 Dec 05, 2022
My implementation of transformers related papers for computer vision in pytorch

vision_transformers This is my personnal repo to implement new transofrmers based and other computer vision DL models I am currenlty working without a

samsja 1 Nov 10, 2021
Semantic segmentation models, datasets and losses implemented in PyTorch.

Semantic Segmentation in PyTorch Semantic Segmentation in PyTorch Requirements Main Features Models Datasets Losses Learning rate schedulers Data augm

Yassine 1.3k Jan 07, 2023
A curated list of awesome deep long-tailed learning resources.

A curated list of awesome deep long-tailed learning resources.

vanint 210 Dec 25, 2022
Hand gesture recognition based whiteboard that allows you to write on live webcam. This is the first version and has features like 4 different colors, eraser and a recording option that records your session and saves it in a "recordings" folder. Use index finger to draw and two or more fingers to move around and select items. Future version will contain more functionalities like changeable thickness, color palette, integration with zoom and google meet etc.

hand-write Hand gesture recognition based whiteboard that allows you to write on live webcam. This is the first version and has features like 4 differ

27 Dec 16, 2022
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

FCOS: Fully Convolutional One-Stage Object Detection This project hosts the code for implementing the FCOS algorithm for object detection, as presente

Tian Zhi 3.1k Jan 05, 2023
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo

Hao Luo 116 Jan 04, 2023
[ICCV2021] 3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds

3DVG-Transformer This repository is for the ICCV 2021 paper "3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds" Our method "3DV

22 Dec 11, 2022