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📝 preocr - Fast Document Classification and OCR Detection

🚀 Getting Started

preocr is designed for anyone needing to quickly check whether a document requires OCR (Optical Character Recognition) processing. This makes your workflow faster and more efficient, helping you avoid unnecessary processing costs.

In a few easy steps, you can download and start using preocr. This guide will walk you through the process, from download to running the application.

📥 Download & Install

To download preocr, please visit the Releases page:

Download preocr

Once you open the link, you will see a list of available versions. Choose the latest version to ensure you have the most up-to-date features and fixes.

Click on the version you want.
Download the appropriate file for your operating system. You will find options for Windows, Mac, and Linux. Each file is clearly labeled.
Save the file to a location on your computer that you can easily access.

After downloading the file, you can proceed to install and run the application.

💻 Installation Steps

For Windows Users:

Locate the downloaded file, often called something like preocr-windows.exe.
Double-click the file to start the installation.
Follow the prompts in the setup wizard. Accept the license agreement and select your preferred installation folder.
Once the installation completes, you can find preocr in your Programs menu or on your desktop.

For Mac Users:

Find the downloaded file, named like preocr-mac.dmg.
Double-click on the file to open it.
Drag the preocr icon to your Applications folder.
To run preocr, go to your Applications, locate preocr, and double-click it.

For Linux Users:

Open your terminal.
Navigate to the directory where you downloaded the file.
Make the file executable by running this command:
```
chmod +x preocr-linux
```
Now, to run preocr, type:
```
./preocr-linux
```

🛠️ Usage Instructions

After installation, you can start using preocr to analyze your documents. Here’s how:

Open the preocr application.
Click on the “Select File” button to choose the document you want to analyze.
After selecting your file, click the “Analyze” button.
preocr will quickly determine if your document requires OCR processing.

Supported File Types

preocr can analyze a variety of document types, including PDF, images, and standard text files. Make sure your file is in one of these formats for best results.

⚙️ System Requirements

To run preocr smoothly, ensure your computer meets the following minimum requirements:

Operating System: Windows 10 or later, macOS (latest versions), or a modern Linux distribution.
Processor: Dual-core processor or better.
Memory: At least 4 GB of RAM.
Disk Space: Minimum of 200 MB free space for installation.

📚 Features

preocr offers several useful features:

Fast Analysis: Quickly determines if OCR is needed by analyzing the document’s content.
User-Friendly Interface: Designed with simplicity in mind, making it easy for anyone to use.
Cross-Platform Support: Available for Windows, Mac, and Linux, ensuring accessibility for everyone.
Multi-File Support: Analyze multiple files at once to save time.
Comprehensive Reporting: Get detailed reports on the analysis to understand document needs better.

❓ Frequently Asked Questions

What is OCR? Optical Character Recognition (OCR) is a technology used to convert different types of documents, such as scanned paper documents or PDFs, into editable and searchable data.

Can I use preocr on large files? Yes, preocr handles large documents, but performance may vary depending on your computer’s specifications.

Is preocr free? Yes, preocr is free to use.

🔧 Troubleshooting

If you encounter issues while downloading or using preocr, please refer to the common fixes below:

Cannot find the downloaded file: Check your downloads folder; you may have specified a different location.
Application won’t start: Make sure your system meets the minimum requirements listed above.

For further assistance, you can reach out on the project’s GitHub page or check the FAQ section there.

📞 Support

If you need additional help, feel free to contact our support team via email or visit our community forum linked in the GitHub repository.

Thank you for choosing preocr. We hope you find it helpful in your document analysis tasks!