Batch Processing Photos to Save Time

Images often require the same adjustments. For example, events like weddings are shot on the same day with the same light, same backdrops, and so on. Rather than painstakingly edit each one, if you batch process your photos with automation, you can save a ton of time and get the same result more quickly. This course reveals the workflow and tools to use to batch process your photo collections. Photographer Rich Harrington first explains what can and can’t be done with batch processing. He then introduces four different toolsets for performing the work: native apps built into macOS and Windows; utilities and web-based tools such as XnConvert, IffanView, and QuickScale; the professional-grade Adobe suite including Photoshop and Lightroom; and the AI-based features offered in Luminar AI. Along the way, Rich shows how to create to extend the benefits of your initial adjustments even further.

Note: This course was created by Rhed Pixel. We are pleased to offer this training in our library.

0. Introduction 01. Batch processing photos 02. Using the exercise files

1. The Role of Batch Processing 01. Why batch process photos 02. What can and cant be done with batch processing

2. Native Batch Processing Tools 01. Converting file formats on macOS 02. Batch renaming files on macOS 03. Batch renaming files on Windows 04. Converting file formats on Windows

3. Useful Batch Processing Tools 01. Using XnConvert for Windows macOS and Linux 02. Processing images in a web browser with EdiKer 03. Using IrfanView for Windows 04. Using GraphicConverter 11 for macOS 05. Using QuickScale for macOS

4. An Adobe-Based Batch Processing Workflow 01. An introduction to batch processing with Adobe Bridge 02. Using the image processor script in Adobe Photoshop 03. Using actions in Adobe Photoshop 04. Creating actions in Adobe Photoshop 05. Using the export for web command in Adobe Photoshop 06. Syncing and batch exporting in Adobe Lightroom

5. Using Artificial Intelligence to Batch Process Images 01. Opening and developing a batch of images with Luminar AI 02. Syncing and batch exporting with Luminar AI 03. Creating a template for future reuse in Luminar AI

Conclusion 01. Next steps

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