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	<title>descript-ai &#8211; iAIFeed</title>
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		<title>How to Remove Filler Words and Fix Mistakes in Video Presentations Using Descript</title>
		<link>https://www.iaifeed.com/how-to-remove-filler-words-and-fix-mistakes-in-video-presentations-using-descript</link>
					<comments>https://www.iaifeed.com/how-to-remove-filler-words-and-fix-mistakes-in-video-presentations-using-descript#respond</comments>
		
		<dc:creator><![CDATA[iamltlb]]></dc:creator>
		<pubDate>Fri, 17 Jul 2026 13:50:24 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[descript]]></category>
		<category><![CDATA[descript-ai]]></category>
		<guid isPermaLink="false">https://www.iaifeed.com/?p=360</guid>

					<description><![CDATA[A polished video presentation demands smooth delivery — no &#8220;um&#8221;s, no stumbles, no factual errors. But re-recording is time-consuming and often produces new mistakes. Descript&#8216;s AI-powered filler word removal and Overdub voice cloning let you fix these issues post-production without re-recording. Here&#8217;s how. Step 1: Record Your Presentation Use Descript&#8217;s built-in screen recorder or import [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">A polished video presentation demands smooth delivery — no &#8220;um&#8221;s, no stumbles, no factual errors. But re-recording is time-consuming and often produces new mistakes. <a href="https://www.iaifeed.com/ai-tool/descript" data-type="ai_tool" data-id="218">Descript</a>&#8216;s AI-powered filler word removal and Overdub voice cloning let you fix these issues post-production without re-recording. Here&#8217;s how.</p>



<h4 class="wp-block-heading">Step 1: Record Your Presentation</h4>



<p class="wp-block-paragraph">Use Descript&#8217;s built-in screen recorder or import a pre-recorded presentation video. If recording within Descript, click &#8220;Screen Record,&#8221; select your screen and camera layout, and start presenting. Descript captures both your screen content and camera feed simultaneously, then auto-transcribes upon completion.</p>



<h4 class="wp-block-heading">Step 2: Transcribe and Identify Issues</h4>



<p class="wp-block-paragraph">Review the auto-generated transcript. Mark three categories of issues: (1) filler words like &#8220;um,&#8221; &#8220;uh,&#8221; &#8220;basically&#8221;; (2) factual errors or misstatements; (3) awkward pauses or tangents. Color-code these by highlighting with different marker styles in Descript.</p>



<h4 class="wp-block-heading">Step 3: Batch Remove Filler Words</h4>



<p class="wp-block-paragraph">Click &#8220;Remove Fillers&#8221; for automatic filler word detection and removal. Descript identifies all common filler words across your entire presentation. Review the highlighted instances — you can keep intentional pauses and only delete true fillers. Confirm removal and Descript eliminates all selected fillers, creating a smoother flow.</p>



<h4 class="wp-block-heading">Step 4: Fix Misstatements with Overdub</h4>



<p class="wp-block-paragraph">For factual errors or misstatements, use Overdub. If you said &#8220;2024 revenue was $$5 million&#8221; but meant$$50 million, highlight &#8220;5 million&#8221; in the transcript, type &#8220;50 million,&#8221; and Descript replaces the audio using your cloned voice. The correction sounds natural because it&#8217;s synthesized from your own voice pattern.</p>



<h4 class="wp-block-heading">Step 5: Set Up Voice Cloning (First-Time Only)</h4>



<p class="wp-block-paragraph">If you haven&#8217;t created your Overdub voice clone yet, Descript guides you through recording a 10-minute voice sample. Read the provided script clearly and naturally. After processing (about 30 minutes), your clone is ready. Subsequent Overdub corrections work instantly with no additional recording.</p>



<h4 class="wp-block-heading">Step 6: Smooth Out Abrupt Transitions</h4>



<p class="wp-block-paragraph">After deletions and replacements, some audio transitions may sound abrupt. Use Descript&#8217;s &#8220;Smooth&#8221; transition feature at edit points — it applies a brief audio fade that makes cuts imperceptible. For video edits, Descript applies subtle visual transitions to maintain continuity.</p>



<h4 class="wp-block-heading">Step 7: Final Review and Export</h4>



<p class="wp-block-paragraph">Play back the entire edited presentation. Listen for any remaining issues — unnatural Overdub segments, choppy transitions, or content gaps. Make final adjustments. Export as MP4 video with embedded captions derived from your edited transcript. Upload to YouTube, LinkedIn, or your company platform.</p>



<p class="wp-block-paragraph"><strong>Pro</strong><strong>Tips</strong><strong>:</strong></p>



<ul class="wp-block-list">
<li>Record Overdub voice samples in a quiet environment for highest clone quality</li>



<li>For short presentations, remove fillers manually to maintain intentional rhetorical pauses</li>



<li>Export captions as SRT files alongside your video for accessibility compliance</li>
</ul>
]]></content:encoded>
					
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			</item>
		<item>
		<title>How to Edit Podcast Episodes by Editing Text with Descript AI</title>
		<link>https://www.iaifeed.com/how-to-edit-podcast-episodes-by-editing-text-with-descript-ai</link>
					<comments>https://www.iaifeed.com/how-to-edit-podcast-episodes-by-editing-text-with-descript-ai#respond</comments>
		
		<dc:creator><![CDATA[iamltlb]]></dc:creator>
		<pubDate>Fri, 17 Jul 2026 13:46:15 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[descript]]></category>
		<category><![CDATA[descript-ai]]></category>
		<guid isPermaLink="false">https://www.iaifeed.com/?p=355</guid>

					<description><![CDATA[Podcast editing traditionally requires hours of scrubbing through timelines, listening repeatedly, and manually cutting segments. Descript transforms this process — you edit your podcast by editing a transcript, like working in a word processor. Here&#8217;s how to produce a polished podcast episode using Descript&#8217;s text-based editing. Step 1: Import Your Raw Recording Open Descript and [&#8230;]]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Podcast editing traditionally requires hours of scrubbing through timelines, listening repeatedly, and manually cutting segments. <a href="https://www.iaifeed.com/ai-tool/descript" data-type="ai_tool" data-id="218">Descript</a> transforms this process — you edit your podcast by editing a transcript, like working in a word processor. Here&#8217;s how to produce a polished podcast episode using Descript&#8217;s text-based editing.</p>



<h4 class="wp-block-heading">Step 1: Import Your Raw Recording</h4>



<p class="wp-block-paragraph">Open Descript and create a new project. Drag and drop your raw audio or video recording file into the project. Descript supports MP3, WAV, MP4, M4A, and most common media formats. Once imported, Descript automatically begins AI transcription — this typically takes 2-5 minutes for a 60-minute recording.</p>



<h4 class="wp-block-heading">Step 2: Review the AI Transcript</h4>



<p class="wp-block-paragraph">Once transcription completes, you&#8217;ll see a full text document on the left side of the screen, with the corresponding media timeline on the right. Read through the transcript to identify sections you want to cut — off-topic tangents, redundant explanations, awkward pauses, or factual errors.</p>



<h4 class="wp-block-heading">Step 3: Cut Unwanted Content by Deleting Text</h4>



<p class="wp-block-paragraph">To remove a segment, simply highlight the unwanted text in the transcript and press Delete. The corresponding audio/video segment is automatically removed from the timeline — no manual scrubbing, no precise timestamp hunting. Delete multiple scattered phrases across the episode and Descript seamlessly stitches the remaining segments together.</p>



<h4 class="wp-block-heading">Step 4: Remove Filler Words Automatically</h4>



<p class="wp-block-paragraph">Click the &#8220;Remove Fillers&#8221; button in the toolbar. Descript&#8217;s AI scans your entire transcript and highlights all filler words — &#8220;um,&#8221; &#8220;uh,&#8221; &#8220;like,&#8221; &#8220;you know,&#8221; &#8220;sort of.&#8221; Confirm the removal and Descript deletes every instance simultaneously. This single step typically saves 5-10 minutes per episode and dramatically improves listenability.</p>



<h4 class="wp-block-heading">Step 5: Use Overdub to Fix Mistakes</h4>



<p class="wp-block-paragraph">If a speaker said something incorrect, instead of cutting the segment, use Overdub. Highlight the incorrect text, type the correct version, and Descript generates the corrected audio using the speaker&#8217;s cloned voice. First-time users need to record a 10-minute voice sample for cloning; after that, Overdub works instantly for any correction.</p>



<h4 class="wp-block-heading">Step 6: Add Intro/Outro and Music</h4>



<p class="wp-block-paragraph">Import your podcast intro music and outro files as additional tracks in Descript. Drag them to the beginning and end of your timeline. Adjust volume levels using Descript&#8217;s multi-track mixer — duck the music volume when speech begins, and raise it back during transitions.</p>



<h4 class="wp-block-heading">Step 7: Export Your Finished Episode</h4>



<p class="wp-block-paragraph">Click &#8220;Export&#8221; and choose your format — MP3 for audio podcasts, MP4 for video podcasts. Set quality settings (128kbps MP3 is standard for podcasts). Add episode metadata: title, description, chapter markers based on your transcript sections. Export and upload to your podcast hosting platform.</p>



<p class="wp-block-paragraph"><strong>Pro</strong><strong>Tips</strong><strong>:</strong></p>



<ul class="wp-block-list">
<li>Use keyboard shortcuts extensively — Ctrl+F to search transcript for specific words, making targeted edits fast</li>



<li>Create chapter markers by inserting &#8220;Chapter&#8221; labels in the transcript; they export as podcast chapter markers</li>



<li>Always review the edited audio by playing it back — text edits are precise but occasional transitions may sound slightly abrupt</li>
</ul>
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