Most podcast and talking-head clips are one shot: a person at a microphone. That works while the speaker is being funny, sharp or surprising. It works less well when they describe something the viewer can't see, like the garage where the company started or the night the site went down, and the screen stays on the same face throughout.
A generated cutaway can fill that stretch. This guide is about generating those shots yourself; for tools that pick stock visuals from a transcript automatically, see our guide to AI b-roll auto-matching. Prices are as of October 2026.
Cutaways only pay off on clips worth posting. ClipSpeedAI finds the strongest moments in your podcast, interview or stream, cuts them to vertical, burns in captions and gives each clip a viral score.
Try ClipSpeedAI →There's no universal retention number for b-roll, so treat this as a decision rule and let your own retention graph settle it. A cutaway helps when it shows the viewer something the words just promised. It hurts when it takes away the thing they were watching.
Cut away when the speaker:
Stay on the face when:
Keep the speaker on screen for most of the clip and treat cutaways as short interruptions.
Generated b-roll is the last source to reach for. Work down this list for each shot:
The third category has a hard boundary: generate illustrations, never evidence. If a shot would work as proof of what the speaker claims, such as their product working, their customer, their results or their dashboard, it has to be real or it shouldn't be in the clip.
Write one list per clip you're posting, from that clip's transcript. Mark every line that describes something visible and give it a row: timestamp, words, source and a one-line shot. Put a "look" line at the top describing your real footage, so every generated shot is prompted against the same camera and light.
Here's a list for a hypothetical 52-second clip from a small-business podcast, where a founder talks about starting a hot-sauce company:
CLIP 03 | 0:52 | vertical
LOOK: warm lamp from the left, dark room, phone-camera look, static
0:07-0:10 "cooking batches in my GEN steam over a pot on a small
kitchen at night" stove, dim kitchen, no people
-> realistic: set the AI label
0:14-0:17 "we sold out at the OWN phone photo of the real stall
farmers market"
0:21-0:24 "our first order from a shop" TEXT typed overlay; no generated
invoice or screenshot
0:28-0:44 story about almost quitting FACE emotional beat, stay on her
0:46-0:49 "like bailing out a boat GEN paper-cutout animation of a
with a cup" boat; obviously not footageFour rules for the list:
A cutaway that looks better than your footage jars as much as one that looks worse. Aim for your camera, your light and your color, not a film trailer. Check these before you write a prompt:
| Match this | Check in your footage | What to do |
|---|---|---|
| Aspect ratio | Your export, usually 9:16 for Shorts, Reels and TikTok | Generate vertical natively rather than cropping 16:9. Veo 3.1, for example, has offered native 9:16 since January 13, 2026. |
| Light | Key light direction, warm or cool, lamps in frame | Name it in the prompt: "one warm lamp from the left, dim background". |
| Camera look | Webcam, phone or mirrorless; how blurred the background is | Ask for "phone-camera look" or "shallow depth of field"; skip "cinematic" unless your show looks it. |
| Movement | Usually a locked-off camera | A static shot or a slow push-in. No drone sweeps or whip pans. |
| Frame rate | Your project frame rate | Some models output 24 fps; Gemini Omni 1.1 Flash does. Let the editor conform it and watch for stutter. |
| Color | Your grade or LUT | Apply the same grade to the generated shot. |
| Resolution | Your export size | Check a 720p cutaway inside the clip on a phone before paying for 1080p. |
The closest match starts from your own pixels. Grab a frame from your set, or photograph the real object on your real desk, and use image-to-video so the shot inherits your light and color; our image-to-video workflow covers start frames. Seedance 2.5 accepts up to 30 images, 10 videos and 10 audio clips as references in one request, enough to show it your room from several angles.
Keep people out of generated cutaways and stick to objects, places and textures: a generated person cut next to your real host invites a comparison, and viewers may take them for someone real. Leave readable text out too; it is one more detail that can come out wrong. Here's a prompt for the kitchen row above:
Vertical 9:16, phone-camera look, light grain. Close-up of steam rising
from a large pot on a small apartment stove at night. One warm lamp from
the left, the rest of the kitchen dim. Static camera, slow drift of steam.
No people, no hands, no readable labels or text. Quiet room tone only,
no music, no speech.Mute the generated sound or keep it as faint room tone; the host's voice carries the clip. Muting won't lower the bill on these models, because audio is included in the price: Kling 3.0 Turbo's rates include native audio, Veo 3.1's Gemini API rates include audio, and fal doesn't charge extra for Seedance 2.5's audio.
A cutaway sits on top of a real person's words, so viewers read it as part of what they said. That makes generated b-roll riskier here than in an obviously generated video.
One realistic cutaway brings the whole post under the platforms' disclosure rules. YouTube requires creators to flag realistic altered or synthetic content, including realistic scenes that never happened, with the "AI use" setting; it exempts animation and says disclosing doesn't reduce reach or monetization. TikTok requires a label on AI-generated content showing realistic scenes or people, and Meta requires users to disclose organic posts with photorealistic video that was digitally created or altered. Don't count on automatic detection: Content Credentials metadata can be lost when a file passes through tools that don't support it. Set the label yourself.
This is not legal advice; platform rules change, so check the current terms. Our AI video disclosure guide goes platform by platform.
Most models have a minimum clip length, so generate about four seconds and keep two or three; the spare footage gives you room to place the cut. Here's the cost of three 4-second cutaways per clip at 720p, one attempt each, at October 2026 list prices. The last two columns are our arithmetic.
| Model | 720p price per second | One clip (3 × 4 s) | Ten clips a week |
|---|---|---|---|
| Veo 3.1 Lite | $0.05 | $0.60 | $6.00 |
| Veo 3.1 Fast | $0.10 | $1.20 | $12.00 |
| Gemini Omni 1.1 Flash | about $0.10 (third-party, citing Google) | about $1.20 | about $12.00 |
| Kling 3.0 Turbo | $0.112 | about $1.34 | about $13.44 |
| Seedance 2.5 on BytePlus | about $0.23 (third-party calculation) | about $2.76 | about $27.60 |
| Veo 3.1 Standard | $0.40 | $4.80 | $48.00 |
| Seedance 2.5 on fal | about $0.473 | about $5.68 | about $56.76 |
Retries multiply all of it. Two habits help. Draft cheaply: Gemini Omni 1.1 Flash is about $0.03 a second at 360p, per a third-party summary of Google's pricing, enough to test a prompt before paying for 720p. The 720p take won't match exactly, but the prompt is tested. And know the length rules: on Veo 3.1, 1080p and reference images require an 8-second clip, so a two-second 1080p cutaway is billed as eight seconds ($3.20 on Standard). Our AI video generation cost guide has the full math.
Generated b-roll comes last, on clips you've already decided to post.
/podcast-to-shorts skill. For choosing between moments, see how to clip podcast highlights.Clipping. ClipSpeed turns a long video, or a Twitch, Kick or YouTube live stream in real time, into vertical clips with burned-in captions in styles such as karaoke, hormozi and fire, each with a viral score.
Generation: AI Creator. ClipSpeed's AI Creator puts five video models and three image models side by side in the same account as your clips. For cutaways: Kling 3.0 Turbo for cheap, fast image-to-video from a frame of your set; MiniMax H3 Max for quick clips when 768p is enough; Seedance 2.5 when you want to show it your room in several reference images; Veo 3.1 for premium shots in native 9:16; Gemini Omni 1.1 Flash for cheap drafts or for editing footage you shot yourself; and Nano Banana Pro or GPT Image 2.5 Flare and Sunburst for start frames. Generations use ClipSpeed creation credits, not the API prices above (see pricing). From Claude or ChatGPT, the early-access ClipSpeed Create connector runs a generation only after the account owner approves its quote on a signed-in ClipSpeed page; the assistant can't approve spending itself.
Generated b-roll earns its place in a talking-head clip only where the speaker describes something viewers can't see and you have no real footage of it. Stay on the face for punchlines, emotion and credibility, use real footage and stock first, and match generated shots to your camera, light and color. Generate illustrations, never evidence, and label anything realistic. Clip first, and let the retention graph tell you whether the cutaways helped.
Start with the clips: try ClipSpeedAI clipping and get captioned vertical clips worth cutting away from.
Does AI b-roll help retention on talking-head and podcast clips?
It depends on where it goes, and there's no universal number. A cutaway makes sense when the speaker describes something viewers can't see, and works against you over punchlines, emotional moments and claims that rest on who is speaking. Compare a version with cutaways against the plain clip and check the retention graph at each cutaway timestamp.
Should I generate b-roll or use stock footage?
Use your own footage first, stock second and generation last. Generate when the shot doesn't exist and can't be filmed cheaply: a past moment nobody recorded, a metaphor or a stylized scene. Never generate something that would serve as evidence for the speaker's claim, such as their product, results or customers. For automatic stock matching, see our AI b-roll auto-matching guide.
How do I make AI b-roll match my podcast footage?
Generate in 9:16 natively, describe your real light and camera look in the prompt, keep the camera static or slow, and apply your normal color grade afterward. Starting image-to-video from a frame of your own set, or a photo of the real object, gets closest. Some models output 24 fps, so let your editor conform the frame rate, and mute the generated audio so the host's voice carries the clip.
Do I need to label AI b-roll in a real podcast clip?
If the generated shot looks realistic, the platforms' disclosure rules apply to the whole post. YouTube requires disclosure of realistic synthetic content, including realistic scenes that never happened, and exempts animation; TikTok and Meta have similar rules for realistic content. Stylized or animated cutaways usually avoid the issue. This is not legal advice; check the current terms, and see our AI video disclosure guide.
How much does AI b-roll cost per clip?
At October 2026 list prices, three 4-second cutaways at 720p, one attempt each, cost from $0.60 on Veo 3.1 Lite to about $5.68 for Seedance 2.5 on fal. Retries multiply that. On Veo 3.1, 1080p requires an 8-second clip, so a short 1080p cutaway is billed as eight seconds.
Can ClipSpeed generate b-roll for my clips?
Yes. ClipSpeed's AI Creator puts Seedance 2.5, Kling 3.0 Turbo, MiniMax H3 Max, Veo 3.1 and Gemini Omni 1.1 Flash side by side for video, with Nano Banana Pro, GPT Image 2.5 Flare and GPT Image 2.5 Sunburst for start frames, so you can generate the GEN rows of your shot list in the same account that clips the episode. Generations use ClipSpeed creation credits (see pricing). AI clipping finds the strongest moments, cuts them to vertical, burns in captions and gives each clip a viral score. In this guide's workflow, you lay the cutaways over your clips in your own editor.
Published by ClipSpeedAI · AI video generation and AI clipping in one place — create with Seedance, Veo, Kling and Nano Banana, then cut it into captioned shorts.