HandySaw DS: How to Automatically Split Video Into Scenes (Full Tutorial)
Tired of manually scrubbing through hours of footage to find scene changes? Discover HandySaw DS, the powerful Windows tool that automates this process, saving you countless hours of tedious logging and cutting.
This in-depth tutorial walks you through the entire workflow. Learn how to turn a single long video file into a perfectly organized project, ready for your favorite video editor.
In this video, you'll learn how to:
✅ Instantly scan and detect scene changes in any video file.
✅ Review and fine-tune every cut with the precision Manual Trimmer.
✅ Adjust the detection sensitivity for perfect results on any footage.
✅ Export each scene as a separate, ready-to-use video file.
✅ Generate a Final Cut Pro XML file to import a cut-up timeline directly into DaVinci Resolve, Adobe Premiere Pro, and other major NLEs.
Get HandySaw DS today
➡️ Download the Free Demo: https://www.davisr.com/downloads.htm
➡️ Purchase the Full Version: https://www.davisr.com/products/handysaw/b...
➡️ Learn More on our Website: https://www.davisr.com
Have questions?
Join the discussion on our official forum: https://www.davisr.com/cgi-bin/forum/YaBB....
Or get in touch via our contact page: https://www.davisr.com/contacts.htm
Timestamps:
00:00 - Introduction to HandySaw DS
00:32 - First Scan & Automatic Scene Detection
00:58 - Reviewing Scenes in the Manual Trimmer
01:26 - Adjusting Cuts and Using Trim Tools
02:05 - The 'Redetect' Window & Adjusting Sensitivity
02:58 - Understanding the .HSQ Project File
03:19 - Export Method 1: Splitting into Separate Files
04:28 - Export Method 2: Creating a Final Cut Pro XML Timeline
04:58 - Importing the XML into DaVinci Resolve
05:18 - Settings Overview
05:38 - System Integration ('Send To' Menu)
06:15 - Codec & Filter Configuration (LAV & DirectShow)
06:37 - Using the FFmpeg Engine for Exporting
07:06 - Using Plugins (JavaScript)
07:45 - Activating the Full Version
08:00 - Final Words
#SceneDetection #HandySawDS #SceneSplitting #OpticalSceneDetection