AI Podcast Editing in DaVinci Resolve: The 2026 Workflow.

Podcast editors who use DaVinci Resolve are in an awkward position. The NLE is genuinely excellent — Color page, Fairlight audio, a free license that doesn't expire. But when it comes to AI editing automation, almost every tool on the market was built for Premiere Pro. AutoPod — the go-to multicam podcast plugin that every YouTube editor recommends — is Premiere only. So DaVinci users either switch NLEs or keep doing everything by hand.

That gap is what DavinciClaude closes. It's a native DaVinci Resolve extension that handles the parts of podcast editing that eat your week: silence removal, auto-multicam switching by speaker, word-by-word captions, and social clip extraction. This guide walks through the full workflow — what to do in what order, how much time each step saves, and how it stacks up against AutoPod honestly.

What podcast editing in DaVinci Resolve looks like without AI

Before we get into the AI workflow, it's worth being honest about where the time actually goes. For a two-hour, two-camera podcast episode, here's a realistic breakdown of manual editing time:

• Import and multicam sync: 15–20 minutes. DaVinci Resolve handles multicam sync well natively — this part isn't bad.
• Dead air and silence removal: 30–60 minutes per hour of content. You're listening, scrubbing the waveform, finding every awkward pause, and manually making ripple cuts. For a two-hour episode that's up to two hours of just this step.
• Multicam cutting by speaker: 1–2 hours per hour of content. Watching the video, deciding who to cut to when, making the edit, adjusting when you cut too early or too late. For two hours of source, you're looking at 2–4 hours of switching work.
• Captions: 45–90 minutes for a two-hour episode, if you're doing it properly.
• Social clips: Another hour to review the episode, identify the best moments, extract clips, and reformat them vertically.

Total for a two-hour, two-camera podcast: 5–8 hours of editing work. For a weekly show, that's most of a working day, every week, on content that doesn't require creative judgment — it requires patience.

Setting up DavinciClaude

Before walking through the workflow: DavinciClaude is a DaVinci Resolve extension, not a standalone app. It lives inside Resolve and adds an AI panel accessible from the Workspace menu.

Install process: download the installer, quit DaVinci Resolve completely, run the installer (under 60 seconds), relaunch Resolve. The panel appears under Workspace > DavinciClaude. Compatible with DaVinci Resolve 18 and later, on macOS and Windows.

You don't need to configure an API key. DavinciClaude handles Claude access internally. Create a free account when prompted and you're in.

Step 1 — Sync and prep (use DaVinci's built-in tools here)

The sync and technical prep steps are genuinely well-handled by DaVinci Resolve natively — no plugin needed.

Drop all camera angles and your ISO audio tracks onto the timeline. Use DaVinci's multicam sync to align them by audio waveform. If your podcast was recorded in a room with any background noise — HVAC, street sound, room tone — run Voice Isolation on the dialogue tracks. It's in the Inspector panel under Audio > Voice Isolation. One click. It separates speech from background noise using a machine learning model trained on thousands of recordings, and it's genuinely good enough to use as a final treatment on most room recordings.

This is one area where DaVinci Resolve actually beats Premiere Pro — Voice Isolation is more powerful than Premiere's built-in noise reduction, and it runs entirely locally without sending audio to any external service.

Step 2 — Kill the dead air (30 seconds, not 2 hours)

This is the step that has the biggest time-to-result ratio. Manual silence removal on a two-hour podcast takes 1–2 hours. Smart Silences does it in about 30 seconds.

Open Workspace > DavinciClaude > Smart Silences. You'll see a threshold slider — this controls the minimum silence length to remove. The default is 0.5 seconds, but for podcasts I find 0.4 seconds works better: it catches the hesitation pauses between thoughts without making the conversation feel rushed.

Click Run. DavinciClaude scans the audio, identifies every pause above the threshold, and ripple-deletes them as native DaVinci Resolve operations. Everything is undoable with Cmd+Z (or Ctrl+Z on Windows). No audio is permanently altered — the underlying media is untouched.

For a two-hour episode, you'll typically go from 120 minutes of source to around 90–100 minutes of content, depending on how conversational the podcast is. All of that in half a minute.

Step 3 — Auto-cut by speaker with Podcast Multicam

This is DavinciClaude's answer to AutoPod. Open Workspace > DavinciClaude > Podcast Multicam.

What it does: it analyzes speaker diarization data — who is talking at every moment — and generates a rough cut that switches between camera angles based on who's speaking. You can configure up to 10 camera angles and map each one to a speaker. When camera 1 is your host and camera 2 is your guest, Podcast Multicam cuts to whoever is currently talking, automatically.

The output is not locked — it's a real, editable sequence of cuts in your Resolve timeline. Every switch is a genuine edit you can adjust, extend, or delete. If the auto-cut lands in a weird spot (rare, but it happens on crosstalk), you fix it the same way you'd fix any other edit.

For a two-person, two-camera podcast, the rough cut takes 1–2 minutes to generate and covers 90% of the switching decisions you'd otherwise make by hand over 2 hours.

Step 4 — Polish with Copilot

After silence removal and multicam switching, you have a clean rough cut. Copilot is where you handle the editorial refinements that AI switching can't do automatically.

Open the Copilot panel and type what you want in plain English. Examples that work well for podcasts:

• "Remove all takes where I said um or uh"
• "Flag the five most energetic moments in the episode"
• "Cut the section between 34:20 and 38:45 where we go off-topic"
• "Tighten every pause longer than two seconds"

Copilot reads the transcript, identifies what you're describing, and makes the changes as native timeline operations. You review every proposed change before it's applied — nothing is permanent until you confirm it. This is important: the model proposes, you decide.

DavinciClaude uses Claude for all AI reasoning. There's no GPT option, no Gemini fallback — it's Claude, which means consistent quality and a model that's particularly good at understanding nuanced editorial instructions.

Step 5 — Captions and subtitles

Two separate tools for two separate needs.

Smart Captions generates the animated, word-by-word captions you see on every podcast clip that performs well on social media — each word highlights as it's spoken, bold text on a colored background. These are placed as native DaVinci Resolve title clips on your timeline, so you can still edit the styling, font, and position. They're not baked renders. Run it on your main cut and captions appear across every clip automatically.

Smart Subtitles handles the multilingual distribution side. It generates subtitle tracks in 99 languages — either as SRT files for YouTube upload or as burned-in subtitle tracks on your timeline. If your podcast has an international audience, this lets you generate Spanish, French, Portuguese, Hindi, and Japanese subtitle versions without any external transcription service.

Both tools run inside DaVinci Resolve. Your audio never leaves your machine.

Step 6 — Extract social clips with Smart Virals

Smart Virals is the step that turns a long-form podcast into a social media presence.

It analyzes the full episode transcript and scores segments by engagement potential — looking for moments with strong hooks, self-contained narrative arcs, quotable lines, and good pacing. The output is a ranked list of clip candidates, typically 60 seconds each, placed directly into your Resolve timeline as subclips with markers.

You don't need to watch the whole episode to find the clips. Smart Virals reads the transcript and makes the selection. You review the candidates — usually 5–8 clips for a two-hour episode — pick the ones you want to use, and they're already on the timeline ready to trim and export.

If you also want to use Diarization to split the audio into separate tracks per speaker (useful for color-coding captions or doing per-speaker audio processing), that's available as a separate step before you run captions.

Time comparison: manual vs AI-assisted

For a two-hour, two-camera podcast episode:

The biggest wins are silence removal (90+ minutes down to 30 seconds) and multicam switching (2–4 hours down to a few minutes). The time you spend in Copilot and reviewing Smart Virals clips scales somewhat with episode length, but not linearly — a 3-hour episode doesn't take 3× longer to review.

DavinciClaude vs AutoPod: the honest comparison

AutoPod is the dominant tool in AI podcast editing, and it deserves its reputation. It does multicam switching well, it's reliable, and it integrates cleanly into a Premiere Pro workflow. If you use Premiere Pro and can justify $29.99/month, AutoPod is a reasonable choice for that specific task.

But there are real reasons to look at DavinciClaude instead:

The key difference isn't really multicam switching — both tools handle that. The difference is scope. AutoPod does one thing. DavinciClaude does the whole post-production pipeline for a podcast: silence cleanup, multicam, captions, social clips, subtitles — all inside Resolve, all on one purchase.

The price argument is straightforward: AutoPod costs $360/year. DavinciClaude is $59 once. Over one year, you've saved $301 and gotten a tool that does more. Over two years, the gap is $661.

Podcast Multicam: step-by-step setup

Since this is the feature most people come here for, here's the specific setup process:

1. Arrange your timeline. Each camera angle should be on its own video track. Your primary audio (or ISO mix) should be on a dedicated audio track. DavinciClaude needs to be able to identify which track corresponds to which speaker.
2. Open Podcast Multicam. Go to Workspace > DavinciClaude > Podcast Multicam.
3. Map cameras to speakers. In the Podcast Multicam panel, assign each video track to a speaker. For a two-person podcast with two cameras, you're assigning Camera 1 → Host and Camera 2 → Guest (or however you label them). Up to 10 assignments supported.
4. Run diarization. DavinciClaude analyzes the audio to build a timeline of who is speaking when. This takes 1–2 minutes for a two-hour episode.
5. Generate the rough cut. Click Generate. DavinciClaude creates a new multicam sequence with automatic cuts between your camera angles, based on who's speaking at each moment.
6. Review and adjust. The generated sequence is fully editable. Scrub through, look for any awkward cuts (usually on crosstalk), and adjust manually where needed. For most episodes, this review takes 10–15 minutes.

Frequently asked questions

Does DaVinci Resolve have a built-in podcast multicam feature?

DaVinci Resolve has multicam editing tools, but they require you to manually set the active angle at every cut point — there's no built-in feature that analyzes audio to detect who's speaking and switches cameras accordingly. That's what DavinciClaude's Podcast Multicam adds.

Is there an AutoPod alternative for DaVinci Resolve?

Yes — DavinciClaude's Podcast Multicam feature does what AutoPod does, but natively inside DaVinci Resolve. It analyzes speaker diarization to determine who's talking at each moment and auto-cuts between up to 10 camera angles. Unlike AutoPod ($29.99/month), DavinciClaude is $59 as a one-time purchase and includes silence removal, captions, and social clips in addition to multicam switching.

How does Smart Silences work in DaVinci Resolve?

Smart Silences scans your timeline's audio tracks, identifies every gap above a configurable threshold (default 0.5s, recommended 0.4s for podcasts), and ripple-deletes them as native DaVinci Resolve operations. All cuts are undoable with Cmd+Z. The underlying media files are never altered.

Can DavinciClaude handle more than two speakers?

Yes. Podcast Multicam supports up to 10 camera angles and 10 speakers. Roundtable podcasts, panel shows, and interview formats with multiple guests all work — each speaker gets mapped to their camera, and the auto-cut logic switches accordingly.

Which version of DaVinci Resolve does DavinciClaude require?

DaVinci Resolve 18 or later. Both the free and Studio editions are supported. The free edition of DaVinci Resolve is sufficient for all DavinciClaude features.

The podcast editing workflow has been Premiere-only for AI tools long enough that many DaVinci Resolve users have just accepted the tradeoff. That's no longer necessary. DavinciClaude brings the full AI podcast pipeline — silence removal, speaker-based multicam switching, word-by-word captions, social clip extraction — inside DaVinci Resolve, without a subscription.

A two-hour podcast episode that used to take most of a working day now takes under an hour. The creative judgment is still yours. The mechanical work is done by the time you've finished your coffee.

→ Download DavinciClaude and edit your next episode in Resolve with the full AI toolkit.