<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AutoCut on SoloSoft</title><link>https://www.solosoft.dev/tags/autocut/</link><description>Recent content in AutoCut on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/autocut/index.xml" rel="self" type="application/rss+xml"/><item><title>AutoCut: AI-Powered Automatic Video Editing</title><link>https://www.solosoft.dev/post/autocut-video-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/autocut-video-2026/</guid><description>&lt;p&gt;Video editing is one of the most time-consuming creative tasks, especially the tedious process of cutting out silences, stumbles, and filler words from talking-head videos. AutoCut, created by mli, solves this problem with an AI-powered pipeline that automatically analyzes audio tracks and removes everything a human editor would cut.&lt;/p&gt;
&lt;p&gt;The tool processes video files through speech recognition, identifies segments with meaningful speech, and produces a clean edit that maintains natural pacing. The result is a polished video without hours of manual timeline work.&lt;/p&gt;
&lt;h2 id="core-features"&gt;Core Features&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;Feature&lt;/th&gt;
 &lt;th&gt;Description&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;Silence removal&lt;/td&gt;
 &lt;td&gt;Automatically detects and removes pauses longer than a configurable threshold&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Filler word detection&lt;/td&gt;
 &lt;td&gt;Identifies &amp;ldquo;um&amp;rdquo;, &amp;ldquo;uh&amp;rdquo;, &amp;ldquo;like&amp;rdquo;, and other verbal fillers for removal&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Speech recognition&lt;/td&gt;
 &lt;td&gt;Uses Whisper or other ASR engines for accurate transcription&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Configurable thresholds&lt;/td&gt;
 &lt;td&gt;Adjust aggressiveness of silence and filler removal&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Batch processing&lt;/td&gt;
 &lt;td&gt;Process multiple videos in a single run&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="editing-pipeline"&gt;Editing Pipeline&lt;/h2&gt;

&lt;figure class="mermaid-wrapper not-prose" role="img" aria-label="Mermaid diagram"&gt;
 &lt;div class="mermaid-container"&gt;
 &lt;pre class="mermaid"&gt;flowchart LR
 A[Raw Video] --&amp;gt; B[Audio Extraction]
 B --&amp;gt; C[Speech Recognition&amp;lt;br/&amp;gt;Whisper]
 C --&amp;gt; D[Segment Analysis]
 D --&amp;gt; E{Silence or Filler?}
 E --&amp;gt;|Yes| F[Mark for Removal]
 E --&amp;gt;|No| G[Keep Segment]
 F --&amp;gt; H[Timeline Assembly]
 G --&amp;gt; H
 H --&amp;gt; I[Export Edited Video]&lt;/pre&gt;
 &lt;script type="application/mermaid"&gt;flowchart LR
 A[Raw Video] --&gt; B[Audio Extraction]
 B --&gt; C[Speech Recognition&lt;br/&gt;Whisper]
 C --&gt; D[Segment Analysis]
 D --&gt; E{Silence or Filler?}
 E --&gt;|Yes| F[Mark for Removal]
 E --&gt;|No| G[Keep Segment]
 F --&gt; H[Timeline Assembly]
 G --&gt; H
 H --&gt; I[Export Edited Video]&lt;/script&gt;
 &lt;/div&gt;
&lt;/figure&gt;&lt;p&gt;The pipeline begins with audio extraction from the source video. Whisper transcribes the speech, and each segment is analyzed for silence duration and filler word presence. Marked segments are removed, and the remaining clips are assembled into a seamless final video.&lt;/p&gt;</description></item></channel></rss>