Stirling-PDF/README.md

<p align="center"><img src="https://raw.githubusercontent.com/Frooodle/Stirling-PDF/main/docs/stirling.png" width="80" ><br><h1 align="center">Stirling-PDF</h1>
</p>

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This is a locally hosted web application that allows you to perform various operations on PDF files, such as splitting and adding images.

Started off as a 100% ChatGPT made application, slowly moving away from that as more features are added

I will support and fix/add things to this if there is a demand [Discord](https://discord.gg/Cn8pWhQRxZ)


![stirling-home](images/stirling-home.png)


## Features

- Split PDFs into multiple files at specified page numbers or extract all pages as individual files.
- Merge multiple PDFs together into a single resultant file
- Convert PDFs to and from images
- Reorganize PDF pages into different orders.
- Add images to PDFs at specified locations. (WIP)
- Rotating PDFs in 90 degree increments.
- Compressing PDFs to decrease their filesize. (Using OCRMyPDF)
- Add and remove passwords
- Set PDF Permissions
- Add watermark(s)
- Convert Any common file to PDF (using LibreOffice)
- Extract images from PDF
- OCR on PDF (Using OCRMyPDF)
- Edit metadata
- Dark mode support.
- Custom download options
- Parallel file processing and downloads

## Technologies used
- Spring Boot + Thymeleaf
- PDFBox
- LibreOffice for advanced conversions
- OcrMyPdf https://github.com/ocrmypdf/OCRmyPDF
- HTML, CSS, JavaScript
- Docker

## How to use

### Locally

Prerequisites
- Java 17 or later
- Gradle 7.0 or later

1. Clone or download the repository.
2. Build the project using Gradle by running `./gradlew build`
3. Start the application by running `./gradlew bootRun` or by calling the build jar in build/libs with java -jar jarName.jar


### Docker
https://hub.docker.com/r/frooodle/s-pdf

Docker Run
```
docker run -p 8080:8080 frooodle/s-pdf
```
Docker Compose
```
version: '3.3'
services:
    s-pdf:
        ports:
            - '8080:8080'
        image: frooodle/s-pdf
```

## How to View
1. Open a web browser and navigate to `http://localhost:8080/`
2. Use the application by following the instructions on the website.

## Note
The application is currently not thread-safe