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A comprehensive Python collection for converting EPS files to SVG/PNG with multiple strategies, diagnostic tools, and batch processing. Perfect for academic papers, technical documents, and vector graphics workflows.

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EPS to SVG/PNG Converter Collection | EPS 转 SVG/PNG 转换器集合

A comprehensive collection of Python scripts for converting EPS (Encapsulated PostScript) files to SVG or high-quality PNG formats with various conversion strategies and diagnostic tools.

一套全面的 Python 脚本集合,用于将 EPS(封装 PostScript)文件转换为 SVG 或高质量 PNG 格式,提供多种转换策略和诊断工具。

📋 Scripts Overview | 脚本概览

Script Purpose 脚本 用途
eps_to_high_quality_png.py Convert EPS to ultra-high quality PNG 高质量 PNG 转换器 将 EPS 转换为超高质量 PNG
eps_to_svg_diagnostic.py Diagnostic tool with detailed error reporting 诊断工具 带详细错误报告的诊断工具
eps_to_svg_robust.py Multi-method SVG conversion with fallbacks 强健 SVG 转换器 多方法 SVG 转换,带备用方案
eps_to_svg_ghostscript.py Direct Ghostscript-based SVG conversion Ghostscript SVG 转换器 基于 Ghostscript 的直接 SVG 转换

🚀 Quick Start | 快速开始

Prerequisites | 系统要求

  • Python 3.6+ | Python 3.6 或更高版本
  • Ghostscript (Required for all scripts) | Ghostscript(所有脚本必需)
  • Additional tools (Optional, see individual script requirements) | 其他工具(可选,详见各脚本要求)

Installation | 安装

  1. Install Ghostscript | 安装 Ghostscript

    # Windows (using Chocolatey)
    choco install ghostscript
    
    # Windows (using winget)
    winget install GNU.Ghostscript
    
    # Or download from: https://www.ghostscript.com/download/gsdnld.html
    # 或从官网下载:https://www.ghostscript.com/download/gsdnld.html
  2. Clone this repository | 克隆此仓库

    git clone https://github.com/excniesNIED/EPS_Converter_Toolkit.git
    cd EPS_Converter_Toolkit
  3. Install optional dependencies | 安装可选依赖

    pip install Pillow  # For PIL support | PIL 支持

📖 Detailed Script Documentation | 详细脚本文档

1. eps_to_high_quality_png.py | 高质量 PNG 转换器

Purpose | 用途: Convert EPS files to ultra-high quality PNG images with customizable DPI settings. 将 EPS 文件转换为可自定义 DPI 设置的超高质量 PNG 图像。

Features | 功能:

  • Multiple quality presets (300-900 DPI) | 多种质量预设(300-900 DPI)
  • 24-bit true color output | 24位真彩色输出
  • Anti-aliasing support | 抗锯齿支持
  • Automatic file size estimation | 自动文件大小估算

Usage | 使用方法:

python eps_to_high_quality_png.py

Requirements | 环境要求:

  • Ghostscript (必需)
  • Python 3.6+ (必需)

Quality Options | 质量选项:

  • Standard (300 DPI): Good for printing | 标准(300 DPI):适合打印
  • High (450 DPI): 3x scaling, recommended | 高质量(450 DPI):3倍缩放,推荐
  • Ultra (600 DPI): 4x scaling | 超高质量(600 DPI):4倍缩放
  • Maximum (900 DPI): 6x scaling, large files | 极高质量(900 DPI):6倍缩放,文件较大

2. eps_to_svg_diagnostic.py | 诊断工具

Purpose | 用途: Comprehensive diagnostic tool for troubleshooting EPS conversion issues with detailed error reporting. 全面的诊断工具,用于排查 EPS 转换问题,提供详细的错误报告。

Features | 功能:

  • File format validation | 文件格式验证
  • Multiple conversion method testing | 多种转换方法测试
  • Detailed error messages | 详细错误信息
  • Individual file testing mode | 单文件测试模式

Usage | 使用方法:

python eps_to_svg_diagnostic.py

Operating Modes | 操作模式:

  1. Single file diagnostic | 单文件诊断: Test individual files with detailed analysis
  2. Batch conversion | 批量转换: Convert all files with diagnostic output
  3. Sample testing | 样本测试: Test first 5 files for quick assessment

Requirements | 环境要求:

  • Ghostscript (必需)
  • Python 3.6+ (必需)

3. eps_to_svg_robust.py | 强健 SVG 转换器

Purpose | 用途: Multi-method SVG converter with automatic fallback strategies for maximum compatibility. 多方法 SVG 转换器,具有自动备用策略,实现最大兼容性。

Features | 功能:

  • Multiple conversion engines | 多种转换引擎
  • Automatic tool detection | 自动工具检测
  • Fallback strategies | 备用策略
  • Support for various output formats | 支持多种输出格式

Conversion Methods | 转换方法:

  1. Inkscape Direct: Native SVG conversion | Inkscape 直接转换:原生 SVG 转换
  2. Ghostscript + Inkscape: Two-step process | Ghostscript + Inkscape:两步处理
  3. Ghostscript Direct: Direct SVG output | Ghostscript 直接转换:直接 SVG 输出
  4. PIL + Inkscape: Fallback method | PIL + Inkscape:备用方法

Usage | 使用方法:

python eps_to_svg_robust.py

Requirements | 环境要求:

  • Ghostscript (必需)
  • Inkscape (推荐) | Download from: https://inkscape.org/
  • PIL/Pillow (可选) | pip install Pillow

4. eps_to_svg_ghostscript.py | Ghostscript SVG 转换器

Purpose | 用途: Direct SVG conversion using Ghostscript with optimized parameters for best quality output. 使用 Ghostscript 直接转换 SVG,采用优化参数以获得最佳质量输出。

Features | 功能:

  • Pure Ghostscript implementation | 纯 Ghostscript 实现
  • Optimized SVG parameters | 优化的 SVG 参数
  • Automatic EPS boundary detection | 自动 EPS 边界检测
  • Scalable output (3x default) | 可缩放输出(默认3倍)

Usage | 使用方法:

python eps_to_svg_ghostscript.py

Requirements | 环境要求:

  • Ghostscript (必需)
  • Python 3.6+ (必需)

Output Settings | 输出设置:

  • Format: SVG | 格式:SVG
  • Scaling: 3x (216 DPI) | 缩放:3倍(216 DPI)
  • Boundary: Auto-cropped | 边界:自动裁剪

🔧 Installation Guide | 安装指南

Windows

  1. Install Ghostscript | 安装 Ghostscript:

  2. Install Inkscape (Optional) | 安装 Inkscape(可选):

  3. Install Python packages | 安装 Python 包:

    pip install Pillow  # Optional, for enhanced compatibility

macOS

# Install Ghostscript
brew install ghostscript

# Install Inkscape (optional)
brew install inkscape

# Install Python packages
pip install Pillow

Linux (Ubuntu/Debian)

# Install Ghostscript
sudo apt update
sudo apt install ghostscript

# Install Inkscape (optional)
sudo apt install inkscape

# Install Python packages
pip install Pillow

📊 Comparison Matrix | 对比矩阵

Feature PNG Converter Diagnostic Robust SVG Ghostscript SVG
Output Format PNG only Multiple SVG primary SVG only
输出格式 仅 PNG 多种 主要 SVG 仅 SVG
Quality Options 4 levels N/A Fixed 3x Fixed 3x
质量选项 4档 不适用 固定3倍 固定3倍
Error Reporting Basic Detailed Medium Basic
错误报告 基础 详细 中等 基础
Tool Dependencies GS only GS only GS + INK GS only
工具依赖 仅 GS 仅 GS GS + INK 仅 GS
Best For High-quality images Troubleshooting Compatibility Simple SVG
最适合 高质量图像 问题排查 兼容性 简单 SVG

GS = Ghostscript, INK = Inkscape

🚨 Troubleshooting | 故障排除

Common Issues | 常见问题

  1. "Ghostscript not found" | "未找到 Ghostscript"

    • Ensure Ghostscript is properly installed | 确保 Ghostscript 正确安装
    • Check if it's in your system PATH | 检查是否在系统 PATH 中
    • Try reinstalling with default settings | 尝试使用默认设置重新安装
  2. "No EPS files found" | "未找到 EPS 文件"

    • Ensure you're in the correct directory | 确保在正确的目录中
    • Check file extensions (.eps or .EPS) | 检查文件扩展名(.eps 或 .EPS)
  3. "Conversion failed" | "转换失败"

    • Use the diagnostic script first | 首先使用诊断脚本
    • Check if EPS files are valid | 检查 EPS 文件是否有效
    • Try different conversion methods | 尝试不同的转换方法
  4. Unicode/Encoding errors | Unicode/编码错误

    • Ensure file paths don't contain special characters | 确保文件路径不包含特殊字符
    • Try moving files to a simple path | 尝试将文件移动到简单路径

Performance Tips | 性能提示

  • For large batches | 大批量处理: Use PNG converter for speed | 使用 PNG 转换器以提高速度
  • For vector output | 矢量输出: Try robust SVG converter first | 首先尝试强健 SVG 转换器
  • For debugging | 调试: Always start with diagnostic script | 始终从诊断脚本开始

📝 Output Examples | 输出示例

Successful Conversion | 成功转换

[1/25] 转换: example.eps -> example.svg
  ✓ 成功: example.svg (45.2 KB, 3x)

Failed Conversion | 转换失败

[1/25] 转换: broken.eps -> broken.svg
  ❌ Ghostscript错误: Invalid EPS format

Diagnostic Output | 诊断输出

检测EPS文件: example.eps
  文件大小: 196740 字节 (192.1 KB)
  文件头: %!PS-Adobe-2.0 EPSF-2.0
  ✓ 检测到PostScript文件头
  ✓ Ghostscript可以解析此文件

🤝 Contributing | 贡献

We welcome contributions! Please feel free to submit issues, feature requests, or pull requests.

欢迎贡献!请随时提交问题、功能请求或拉取请求。

Development Setup | 开发环境设置

  1. Fork the repository | 分叉仓库
  2. Create a feature branch | 创建功能分支
  3. Make your changes | 进行更改
  4. Test with various EPS files | 使用各种 EPS 文件测试
  5. Submit a pull request | 提交拉取请求

📄 License | 许可证

This project is licensed under the MIT License - see the LICENSE file for details.

本项目采用 MIT 许可证 - 详情请参阅 LICENSE 文件。

🙏 Acknowledgments | 致谢

  • Ghostscript team for the powerful PostScript interpreter | Ghostscript 团队提供强大的 PostScript 解释器
  • Inkscape project for excellent SVG support | Inkscape 项目提供优秀的 SVG 支持
  • Python PIL/Pillow maintainers for image processing capabilities | Python PIL/Pillow 维护者提供图像处理功能

📞 Support | 支持

If you encounter any issues or have questions, please:

如果遇到任何问题或有疑问,请:

  1. Check the troubleshooting section above | 查看上面的故障排除部分
  2. Run the diagnostic script for detailed error information | 运行诊断脚本获取详细错误信息
  3. Open an issue on GitHub with your error details | 在 GitHub 上提交包含错误详情的问题

🤖 AI Generated | AI 生成

This project was generated with the assistance of AI technology to provide efficient and reliable EPS conversion solutions.

本项目在 AI 技术协助下生成,旨在提供高效可靠的 EPS 转换解决方案。

Generation Details | 生成详情

  • Generated by | 生成工具: GitHub Copilot (Claude Sonnet 4)
  • Generation Date | 生成日期: 2025-07-09
  • User | 用户: excniesNIED
  • Human Oversight | 人工监督: Code reviewed and tested by human developer
  • Quality Assurance | 质量保证: All scripts tested with real EPS files

AI Contribution | AI 贡献内容

  • Code Generation: Python conversion scripts and logic

  • Documentation: README, comments, and usage guides

  • Error Handling: Comprehensive exception management

  • Multi-platform Support: Windows, macOS, Linux compatibility

  • Troubleshooting Guide: Common issues and solutions

  • 代码生成: Python 转换脚本和逻辑

  • 文档编写: README、注释和使用指南

  • 错误处理: 全面的异常管理

  • 多平台支持: Windows、macOS、Linux 兼容性

  • 故障排除指南: 常见问题和解决方案

Human Contribution | 人工贡献内容

  • 🔍 Requirements Definition: Specific EPS conversion needs

  • 🧪 Testing: Real-world EPS file testing and validation

  • 📝 Use Case Scenarios: Academic and technical document processing

  • 🎯 Quality Control: Code review and functionality verification

  • 🔍 需求定义: 具体的 EPS 转换需求

  • 🧪 测试验证: 真实 EPS 文件测试和验证

  • 📝 使用场景: 学术和技术文档处理

  • 🎯 质量控制: 代码审查和功能验证

Disclaimer | 免责声明

While this project was AI-assisted, all code has been reviewed, tested, and validated for functionality. Users should still test the scripts with their specific EPS files before production use.

虽然本项目由 AI 协助生成,但所有代码都经过审查、测试和功能验证。用户在生产环境使用前仍应使用特定的 EPS 文件进行测试。

Generated with 💡 by GitHub Copilot & 🧠 Human Intelligence


Happy Converting! | 转换愉快! 🎉

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A comprehensive Python collection for converting EPS files to SVG/PNG with multiple strategies, diagnostic tools, and batch processing. Perfect for academic papers, technical documents, and vector graphics workflows.

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