The best workflow to edit a Multicam Video Podcast with ChatGPT

Recording a podcast on four cameras gives you plenty of options in the edit. However, it also gives you four sets of files to line up and an entire conversation’s worth of camera switches to make. Even after removing the setup chatter and false starts, you still have to work through every question, answer and interruption to decide which shot belongs on screen. That’s what can make editing multicam podcasts a nightmare.

Thankfully, today you can hand much of that work to ChatGPT. But it’s not as simple as uploading a video and typing a prompt. To edit videos, ChatGPT needs to be connected to a video editor through MCP. This gives it access to the tools needed to sync recordings, cut footage and assemble the episode.

You can use any editor that offers a compatible MCP connection, but if you’re looking for a free option, invideo Editor is a good bet. It gives ChatGPT access to a professional-grade timeline and editing controls through its MCP connection. The same workspace is fully available to you, so you can make changes yourself and then carry on directing the edit through chat.

Editing through invideo Editor’s MCP connection is free and only uses your ChatGPT allowance. Generating new images, video or audio, however, uses invideo credits separately.

In this sample workflow, we’ll walk through editing a sixty-minute podcast with an emergency-room doctor and an actor who plays a doctor in a television drama. The conversation explores what medical dramas get wrong and what real doctors actually do. Let’s get started.

1. Connect ChatGPT to your editor

The first thing you’ll want to do is establish the MCP connection. Head over to invideo’s connection page, select ChatGPT and complete the setup for your account. Sign in to invideo when prompted. If you’re using a different editor with an MCP connection, follow its setup instructions.

Once connected, open your project in invideo Editor alongside the chat so you can see the changes as the episode takes shape. If your ChatGPT client provides browser access, you can also use it to open the invideo timeline.

2. Bring in the recordings and describe the episode

There are two ways to do this: import the footage directly into invideo Editor, or ask ChatGPT to upload it to the project for you.

Make sure the camera roles are easy to distinguish:

• Camera A: Host.

• Camera B: Guest 1, the emergency-room doctor.

• Camera C: Guest 2, the actor.

• Camera D: Wide shot of all three speakers.
  

  

Make sure that you keep files from the same camera grouped together if the recording is split across several clips.

Before asking for cuts, explain what the conversation is about and how you want the episode to feel:

We’re editing a sixty-minute podcast with an emergency-room doctor and an actor who plays a doctor in a television drama. The main topics are what medical dramas get wrong, how decisions are made during a busy shift, and how the actor prepares to portray those situations. Camera A shows the host, Camera B shows the doctor, Camera C shows the actor, and Camera D shows all three. The audience is interested in the real experiences and behind-the-scenes stories of both guests. Keep the conversation relaxed and preserve their explanations and personal accounts. We’ll work through synchronization, the conversation edit and camera switching in stages.

This establishes the direction for the episode. The next instructions can focus on a specific task instead of repeating the entire brief.

3. Synchronize the cameras

The recordings need to share the same timing before you start shortening the episode or switching shots. Choose a recording with clear audio of the conversation as the synchronization reference.

Suppose Camera A has the clearest recording of all three speakers:

Align the footage from Cameras A, B, C and D using Camera A’s audio as the reference. Put the camera angles on separate timeline tracks. Use Camera A’s audio for playback and mute the duplicate camera audio. Keep the complete recording for now.

Check a few spoken moments near the beginning, middle and end of the synchronized footage. Each speaker’s mouth should line up with the audio across the different angles.

You now have a common starting point: the same exchange is available from each camera at the same position on the timeline.

4. Build a base cut while keeping the cameras in sync

A first pass can remove the routine interruptions without stripping the episode of its personality. Tell ChatGPT what counts as unnecessary material and what deserves room.

Assemble a first cut of the episode. Remove setup chatter, abandoned question starts, repeated takes and long gaps where nobody is speaking. Retain complete stories, useful follow-up questions and reactions that contribute to the exchange. Keep pauses that are part of either guest’s delivery. Show me any tangents you suggest removing before cutting them. Make the corresponding cuts across all synchronized camera tracks and audio so they stay aligned.

That last instruction matters when shortening a multicam recording. Removing ten seconds from the conversation means removing the same passage from every angle and the audio, rather than leaving one recording running ahead of the others.

For our episode, a pause before the doctor recalls a difficult decision might help the story land. A gap while the host searches for the next question probably doesn’t need the same treatment.

Review the assembled conversation before moving on. If you want to restore a sentence or leave more space after an answer, you can do that directly on the timeline. ChatGPT can then continue from your updated cut.

See Loco AI review an assembled podcast timeline with camera cuts above a master audio track.

5. Direct the camera switches

Once the conversation flows, give ChatGPT a clear approach to choosing the shots.

The person speaking will often be the right choice, but switching for every “yeah” or “right” can make the episode feel restless. Reactions and wide shots are useful when they add to the exchange.

Build the camera cut using Camera A for the host, Camera B for the doctor and Camera C for the actor. Hold on the main speaker through brief acknowledgements from the others. Use Camera D when several people are talking or reacting together. Include a listener’s reaction when it adds something to the moment, but avoid rapid switches during a sustained explanation. Keep the approved conversation edit and audio timing unchanged.

A discussion about an unrealistic television scene might work well with the actor’s reaction to the doctor’s explanation, followed by a wide shot as everyone laughs. During a personal account, staying on the person telling the story can give their expression and delivery room to carry the moment.

You set those preferences; ChatGPT handles the individual switches across the episode.

See John The Video Guy inspect a multicam camera cut assembled with AI.

6. Refine the edit with precise feedback

Watch how the camera cut handles changes of speaker, interruptions and reactions. When you want something different, identify the moment and explain the result.

For example:

Around 12:40, stay on the doctor through the host’s brief interjection. Move to the host when the next full question starts. Around 26:15, use the wide shot for the shared reaction, then switch to the actor as they begin explaining how the scene was filmed. Leave the dialogue unchanged.

Use timestamps from your actual timeline. You can also refer to the content of the conversation:

During the discussion about television doctors reaching a diagnosis, keep the doctor on screen through the explanation. Show the actor’s reaction after the point lands.

Specific instructions make it easier to change one decision without disturbing the rest of the sequence. You can give several related instructions together or make smaller adjustments yourself, such as moving a cut on the timeline or trying another angle before deciding which version to keep.

7. Clean up the audio and match colour across cameras

With the recordings synchronized and the cuts in place, focus on how the conversation sounds. The host and both guests should be comfortable to hear, and the joins between edited passages should sound natural.

Smooth the audio joins where we removed material, reduce distracting background noise and bring the host, doctor and actor to consistent listening levels. Keep natural breaths and pauses that belong to their delivery.

Listen across the cuts. Synchronization keeps picture and sound aligned, but it does not remove an abrupt change in background noise or balance a quiet answer against a louder one.

Then look at the camera images together. If one guest’s close-up is warmer or darker than the wide shot, ask ChatGPT to bring them into line:

Match exposure and white balance across Cameras A, B, C and D. Keep skin tones natural and use a consistent look throughout the episode.

The aim is for viewers to stay with the conversation as the angle changes, without being distracted by shifts in sound or colour.

8. Add titles and visuals that help viewers follow along

Introduce the speakers with their names and relevant credentials. Supply the correct wording rather than asking ChatGPT to fill it in.

Add a lower-third for the host, doctor and actor during their first introductions, using the names and credentials I provide. Use a consistent design for all three and keep the text clear of their faces.

You can also request supporting graphics where the discussion needs a visual explanation. If the doctor describes how people move through an emergency department, for example, a simple diagram could make that easier to follow.

A personal story may need no additional footage at all. Let the purpose of the passage determine whether to stay with the speaker or add something.

For subtitles, specify the styling and placement you want, then review names and specialist terms against the audio.

9. Review and export the episode

Watch the finished episode with the camera cut, sound and graphics together. Check that shortened answers still make sense, reactions appear in the right context and text stays on screen long enough to read.

Use the final review to address specific details:

Hold the actor’s lower-third for another second and bring it in as their introduction begins. Keep the conversation and camera cut unchanged.

When you’re happy with the result, name the timeline and request a finished file:

Export the approved podcast timeline as a finished video.

If you want to continue in another editing application, identify that destination instead:

Export the approved podcast timeline as an editable project for DaVinci Resolve.

Open the exported video and check the beginning, ending and any sections changed during the final review before uploading it.

10. Make cutdowns and Shorts from the finished episode

The completed podcast can also become a source for shorter videos. Ask ChatGPT to find exchanges that offer something useful on their own, then build the selected versions on separate timelines.

For our episode:

Find three passages that could work as standalone clips: an exchange about something medical dramas get wrong, a story about a difficult decision in the emergency room, and a behind-the-scenes account from the actor about playing a doctor. Give me the source timestamps and explain what context each clip needs. Show me the candidates before assembling them.

Once you’ve chosen the passages, specify what you want to make:

Turn the selected television-drama discussion into a three-minute cutdown. Make two vertical Shorts from the other selections. Create a separate timeline for each version and leave the full episode unchanged. Keep enough of the question or setup for each clip to make sense on its own. For the Shorts, reframe the speakers for 9:16 and add readable captions.

A shorter version may need a different opening from the full episode. You can ask for hook options, tighten the setup or add a brief explanatory title, then export each approved version separately.