How to Edit Podcasts and Videos With AI: A Complete Workflow for 2026
AI has transformed video and audio editing from a specialized skill into something anyone can do. Here's a practical, step-by-step workflow for producing professional-quality podcasts and videos using AI editing tools — no prior editing experience required.
Bottom line
AI editing tools like Descript make video and podcast production accessible to anyone. This step-by-step workflow covers recording, transcript-based editing, AI enhancement, and publishing for professional results.
In this guide
The Short Answer
AI video and audio editing tools — led by Descript — have made professional-quality editing accessible to anyone who can edit a document. The transcript-based editing paradigm (edit the text, the audio/video follows) reduces the editing learning curve from weeks to hours and the editing time per episode from 3-5 hours to 30-60 minutes for most content types.
The key to efficient AI-powered editing isn't just the tool — it's having a consistent workflow. This guide walks through every step: preparing before recording, the recording setup, transcript-based editing, AI enhancement, review and refinement, and final export. Follow it once or twice, and it becomes muscle memory.
Step 1: Prepare Before Recording
The most efficient editing is the editing you don't have to do. A few minutes of preparation dramatically reduces editing time:
For video: Frame yourself well. Face a window or light source. Use a clean, uncluttered background (or a virtual background). Position your camera at eye level. Test audio with a 15-second recording — bad audio is harder to fix than bad video.
For audio/podcast: Record in the quietest space available. A closet full of clothes makes a surprisingly good recording booth. Use headphones to prevent echo. Position your microphone 4-6 inches from your mouth, slightly off-axis to reduce plosives.
For both: Have talking points, not a full script. Bullet points sound more natural than read text, and AI tools handle natural speech fine. If you make a mistake while recording, pause for a beat and repeat the sentence correctly — this makes the mistake easy to find and cut later.
Step 2: Record Your Content
You don't need pro equipment. Here's the minimum viable recording setup:
Video: Your laptop webcam is fine for starting out. Upgrade to a Logitech C920 or similar ($60-80) when ready. For screen recordings (tutorials, demos), Descript and Loom both have built-in recorders.
Audio: A USB microphone ($50-100) is the single best investment for content quality. The Audio-Technica ATR2100x or Samson Q2U are excellent starter mics. Avoid recording with your laptop's built-in microphone — the quality difference from even a basic USB mic is dramatic.
Recording directly in Descript: Descript lets you record audio, video, or screen directly into the app. This skips the file transfer step and lets you start editing immediately after stopping the recording. For solo content, recording in Descript is the most efficient workflow.
Recording elsewhere: If you record in Zoom, Riverside, or another tool, export as WAV (audio) or MP4 (video) and import into Descript. WAV is uncompressed and gives Descript the best audio to work with.
Step 3: Transcript-Based Editing
This is where the AI workflow diverges from traditional editing:
- Import your file into Descript. Automatic transcription takes 1-2 minutes per 10 minutes of content.
- Remove filler words with one click. Descript identifies "um," "uh," "you know," "like," and other fillers. Remove them all in one click, then review for any cuts that sound choppy (maybe 5-10% of removals need manual restoration).
- Remove silence and dead air. The "Remove silence" AI Action trims gaps longer than a threshold you set (we use 2 seconds). This tightens pacing significantly — a 30-minute raw recording often becomes 22-24 minutes after silence removal with no content loss.
- Edit by cutting text. Find sections that ramble, go off-topic, or contain mistakes. Highlight and delete the text — the audio/video follows. Rearrange sections by cutting and pasting paragraphs.
- Add structure. Insert markers for intro, main content sections, and outro. This helps with navigation and ensures your content flows logically.
Step 4: AI Enhancement
Once the content structure is right, apply AI enhancements:
Studio Sound (Descript): One click transforms rough audio into studio-quality sound. It removes background noise, normalizes volume levels, and adds professional warmth. For podcasters, this feature alone is worth the subscription.
AI-generated captions: Generate captions in one click. Descript's automatic captions are 95%+ accurate for clear English audio. Review for accuracy (especially proper nouns and technical terms) and adjust timing. Captions aren't optional — they improve accessibility and most social media videos are watched without sound.
Filler word removal (fine-tuning): After the bulk removal, do a listen-through and restore any cuts that made speech sound unnatural. Usually 5-10% of cuts need restoration.
Audio leveling (optional): If you have multiple speakers or inconsistent volume, use Descript's volume normalization to even everything out.
Step 5: Review and Refine
Before exporting, do a full review:
- Listen through at 1.5x speed for content flow and audio quality
- Watch video at normal speed for visual quality and captions timing
- Check captions for accuracy — especially names, numbers, and technical terms
- Verify all cuts are clean — no mid-word chops or unnatural transitions
For podcasts, export the audio first and listen during a commute or workout. You'll catch things you miss during focused editing.
Step 6: Export and Publish
Export settings matter:
For podcasts: Export as WAV or high-bitrate MP3 (192kbps+). Most podcast hosts accept MP3.
For YouTube: Export as MP4, 1080p or 4K depending on source quality. Include captions as burned-in subtitles or as a separate SRT file.
For social media clips: Use Descript's "Create Clips" AI Action to automatically generate short-form versions. Select the best 2-3 clips, review, and export at platform-appropriate dimensions (9:16 for TikTok/Reels/Shorts, 1:1 or 4:5 for Instagram feed).
Complete Workflow Time Budget
For a 20-minute raw recording, producing a polished final episode:
- Preparation: 5 minutes
- Recording: 25 minutes (20 min content + 5 min setup/retakes)
- Transcription and initial AI processing: 3 minutes (automated)
- Transcript editing (cuts, restructuring): 15-20 minutes
- AI enhancement (Studio Sound, captions): 5 minutes
- Review: 10-15 minutes
- Export: 5 minutes
Total: 65-75 minutes from start to published content. Traditional editing workflow for the same content: 3-5 hours.
Sources and verification
Product details and claims were checked against the following primary sources.
Frequently asked questions
Do I need to learn traditional editing software first, or can I start with Descript?
Start with Descript. There's no prerequisite — the transcript-based workflow is intuitive if you've ever edited a document. Many professional editors now start projects in Descript (rough cut and content editing) and then move to Premiere or DaVinci Resolve only for finishing work (color grading, motion graphics, precise audio mastering). If you're creating content where the spoken word is the primary element — which describes most business video and podcast content — you may never need to learn a traditional editor.
What's the best microphone for starting a podcast or video series on a budget?
The Samson Q2U ($60-80) and Audio-Technica ATR2100x ($50-80) are the best starter microphones. Both are USB (plug directly into your computer) and XLR (upgrade path if you later add an audio interface), both include headphone jacks for zero-latency monitoring, and both produce audio quality that listeners won't distinguish from $300+ microphones. Avoid spending more on a microphone until you've published 10+ episodes and can articulate exactly what you need that your current mic isn't providing.
How do I handle interviews or multi-person recordings with AI editing tools?
Descript handles multi-track recordings well — each speaker gets their own track, and the transcript labels who said what. For remote interviews: record in a platform that provides separate audio tracks per participant (Riverside, SquadCast, or Zencastr — Zoom's built-in recording mixes everyone into one track, which is harder to edit). Descript's AI can identify different speakers and label them in the transcript, though you may need to assign names initially. Multi-person editing takes longer than solo editing because you're managing multiple audio quality levels and conversation dynamics, but the transcript-based workflow still applies.
Should I use AI voice cloning (Overdub) to fix mistakes in my recordings?
Sparingly and transparently. Overdub is excellent for fixing small factual errors — a misstated date, a wrong number, a mispronounced name. It's not appropriate for adding content the speaker didn't actually say, changing the meaning of statements, or generating substantial new content in someone else's voice. Establish a policy: AI voice correction is for error correction only, not content creation. The corrected audio should represent what the speaker would have said if they hadn't made a recording mistake. Always have the speaker approve Overdub corrections before publishing.
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