Spark-Pdf is a library for processing documents using Apache Spark
Project description
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 4.0 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
Release history Release notifications | RSS feed
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-0.1.0rc9.tar.gz
(183.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyspark_pdf-0.1.0rc9.tar.gz.
File metadata
- Download URL: pyspark_pdf-0.1.0rc9.tar.gz
- Upload date:
- Size: 183.0 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0dd383dccc83c2cc5ba75a6a9b70a233e02d3eb1fdccbf920d5f438b628119e7
|
|
| MD5 |
e2080bd8aada234bb5acefc5960e5cff
|
|
| BLAKE2b-256 |
80de62da07c85091610957e9393ea1af0c92dcadb6a11a796b00c8e2cf646bb6
|
File details
Details for the file pyspark_pdf-0.1.0rc9-py3-none-any.whl.
File metadata
- Download URL: pyspark_pdf-0.1.0rc9-py3-none-any.whl
- Upload date:
- Size: 189.4 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3bb3f5ae8150397fa0ecda6281ac5f6d289aadb71212ae4272504d9f7927784b
|
|
| MD5 |
28552447f9d3eb57f2b06a14fabc3b41
|
|
| BLAKE2b-256 |
84c365a2dea2a56e96a44a21f7e55847e1aab896d0eb928e7463b0178aed8375
|
