Cleverson
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- 平台: macOS 应用 (7)
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- File2:Text Markdown Converter
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.1.1 Turn any document into clean, portable Markdown or plain text without ever leaving your Mac. Discover File2Text Markdown Converter, your all-in-one solution for transforming documents, ⥯
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- EML to PDF - Mail Converter
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.1.0 Easily convert your EML emails into polished, shareable PDFs. Whether you re organizing important communications, preparing evidence for legal or financial matters, or just want a neat ⥯
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- Bank Statement PDF Converter
- macOS 应用: 财经 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.1.1 Convert bank statements into organised spreadsheets instantly and securely. Bank Statement PDF Converter extracts every transaction from your PDF statements and delivers perfectly ... ⥯
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- Contacts Exporter: vCard Excel
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.0.1 Introducing Contacts Exporter, a powerful yet easy-to-use app for macOS that helps you convert, organize, and export your contacts exactly the way you need. Whether you're a busy ... ⥯
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- MBOX to CSV - Data Extractor
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.0.7 Transform the way you handle your email archives with MBOX to CSV | Data Extractor, a fast, reliable, and user-friendly tool designed for anyone who needs to quickly extract data from ... ⥯
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- EML to CSV - Email Extractor
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.0.3 EML to CSV - Email Extractor redefines how you handle and analyze your email archives, offering a swift, accurate, and user-friendly solution for extracting data from EML files. ... ⥯
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- Calendar Exporter - ICS to CSV
- macOS 应用: 工具 来自: Cleverson
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 1.0.0 Transform how you handle your calendar data with Calendar Exporter, the fast and easy way to convert events into organized CSV, Excel, or JSON files. Whether you re a data-driven ... ⥯
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