PDF - Compress, Reduce and Optimize for Mac

Make sending PDFs painless

Emailing large PDFs doesn’t have to be frustrating. PDF — Compress, Reduce and Optimize is a utility that shrinks and optimizes PDF files right on your device, so you can prepare attachments quickly without leaving the application. The whole operation runs locally, keeping the process fast and private.

What it can do for you

• Save your custom compression presets so you don’t have to reconfigure settings each time
• Handle password-protected PDFs without failing to compress them
• Let you preview the output before committing to the reduction, so you can check quality first
• Offer granular controls for image quality and DPI, allowing targeted reductions
• Compress single files or an entire batch at once to speed up workflows
• Provide an in-app way to send compressed files by email, avoiding third-party upload steps
• Support simple drag-and-drop file addition on both Windows and macOS for quick queuing

How the workflow operates

Files are processed locally inside the app, which simplifies the task and protects your data. You can drop documents into the interface or select them manually, then choose either individual compression or a batch operation. Configure image quality and DPI if you need specific output, or apply a saved preset for instant results. Use the preview feature to compare original and reduced versions before saving.

Sharing and privacy considerations

Because the compression happens on your machine, you don’t need to upload files to external services. Once a PDF is reduced, you can attach and send it by email directly from the app. Other tools may offer sharing, but fewer give you this native, on-device convenience combined with preset management and preview capabilities.

Benefits at a glance

• Faster emailing and reduced attachment rejections from mail servers
• Greater control over output quality and file size
• Time savings for anyone processing multiple documents
• Improved privacy since files aren’t sent to remote servers during compression