Skip to main content

Spark-Pdf is a library for processing documents using Apache Spark

Project description

GitHub StabRise

Spark Pdf

Spark-Pdf is a library for processing documents using Apache Spark.

It includes the following features:

  • Load PDF documents/Images
  • Extract text from PDF documents/Images
  • Extract images from PDF documents
  • OCR Images/PDF documents
  • Run NER on text extracted from PDF documents/Images
  • Visualize NER results

Installation

Requirements

  • Python 3.10
  • Apache Spark 3.5 or higher
  • Java 8
  • Tesseract 5.0 or higher
  pip install pyspark-pdf

Development

Setup

  git clone
  cd spark-pdf

Install dependencies

  poetry install

Run tests

  poetry run pytest --cov=sparkpdf --cov-report=html:coverage_report tests/ 

Build package

  poetry build

Build documentation

  poetry run sphinx-build -M html source build

Docker

Build image:

  docker build -t spark-pdf .

Run container:

  docker run --rm -it --entrypoint bash spark-pdf:latest

Release

  poetry version patch
  poetry publish --build

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyspark_pdf-0.1.0rc6.tar.gz (32.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyspark_pdf-0.1.0rc6-py3-none-any.whl (39.6 kB view details)

Uploaded Python 3

File details

Details for the file pyspark_pdf-0.1.0rc6.tar.gz.

File metadata

  • Download URL: pyspark_pdf-0.1.0rc6.tar.gz
  • Upload date:
  • Size: 32.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.4 CPython/3.11.6 Linux/6.7.10-060710-generic

File hashes

Hashes for pyspark_pdf-0.1.0rc6.tar.gz
Algorithm Hash digest
SHA256 25cbe07c7e117170d15b9e815464d7ff2107e014b00b94838f7b20082bba7b0a
MD5 fe22a582a3578773316f667d4c7ca048
BLAKE2b-256 dbd55ee1ee7c371e47f41d986c83bd9665606912c30d028907325702ba85ecfd

See more details on using hashes here.

File details

Details for the file pyspark_pdf-0.1.0rc6-py3-none-any.whl.

File metadata

  • Download URL: pyspark_pdf-0.1.0rc6-py3-none-any.whl
  • Upload date:
  • Size: 39.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.4 CPython/3.11.6 Linux/6.7.10-060710-generic

File hashes

Hashes for pyspark_pdf-0.1.0rc6-py3-none-any.whl
Algorithm Hash digest
SHA256 f277d5a25d49c3ae762f5f2a8675651f25256071f230e92df8564c74356bd3be
MD5 f2bca89a609823cc31e2be956681a2e4
BLAKE2b-256 05e95b1f07a3655e2612d0172beb51148d2a9384d3dc8dc1b8fa4a0a24befd71

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page