Auto B-Roll Insertion
for Adobe Premiere Pro
B-roll hunting is one of the most time-consuming parts of any talking-head edit. Auto B-Roll reads your transcript, identifies the key topics and moments in each segment, searches stock libraries for contextually relevant footage, and inserts it into your Premiere Pro timeline — automatically.
Transcript → B-roll matches
"...the revenue grew 40% in Q3..."
Business graph animation / office charts
95%"...recording in a professional studio..."
Recording studio / microphone close-up
91%"...when I first moved to New York..."
New York City skyline / street footage
88%"...the coffee shop where we started..."
Coffee shop interior / laptop on table
86%- AI reads transcript and identifies visual opportunities segment by segment
- Searches Pexels, Storyblocks, and other libraries for relevant footage
- Review all suggested matches before inserting — swap or remove any clip
- Inserted as a separate B-roll track — your original footage untouched
- Automatically sized and timed to fit the matching transcript segment
Get early access to Auto B-Roll
Be the first to insert contextually relevant B-roll into your Premiere Pro timeline automatically — no stock footage hunting.
B-roll hunting is where YouTube editor hours go to die
For a 20-minute YouTube video with talking-head content, professional standards call for a B-roll cut roughly every 30–60 seconds — that's 20–40 individual B-roll clips per video. Finding, downloading, auditing, importing, placing, and timing each one manually takes 2–4 hours of non-creative work.
The problem is matching: finding stock footage that actually fits what the speaker is talking about at that moment requires reading the transcript, searching the library with the right keywords, previewing results, selecting the best option, downloading it, and importing it into Premiere — for every single clip.
Auto B-Roll does the semantic matching. It reads your transcript, identifies what's being discussed in each segment, queries the stock library using contextually generated search terms, and presents you with the best matches to approve. Your job is reviewing and approving — not hunting.
Search method
Semantic transcript analysis → AI-generated stock search queries
Libraries
Pexels (free), Storyblocks (subscription), and more on launch
Timeline placement
Separate B-roll track — original footage untouched underneath
Review workflow
Full match list with confidence score — swap or remove before inserting
How Auto B-Roll works
Transcript segmented
CaptionX divides your transcript into visual segments — identifying moments where a B-roll cutaway would be appropriate and what the speaker is describing.
AI generates search terms
For each segment, the AI generates the most accurate stock footage search query based on the context, topic, and visual opportunities in the transcript.
Review suggested clips
A panel shows every suggested B-roll match with its confidence score and source. Swap any clip for an alternative, or remove it from the queue.
Insert to timeline
Approved clips are downloaded (if from an external library) and inserted into a dedicated B-roll track in your Premiere Pro sequence.
Who it's built for
YouTube editors
B-roll is the difference between a talking-head video and a produced YouTube video. Auto B-Roll delivers produced-quality cutaways without the 3-hour stock footage hunt that currently makes it a production luxury rather than a standard.
Corporate and marketing video editors
Explainer videos, product walkthroughs, and company profile content all require illustrative B-roll. Auto B-Roll sources contextually appropriate footage from your stock subscription automatically.
Podcast video editors upgrading their output
Podcast episodes on YouTube that include B-roll cutaways consistently outperform talking-head-only versions. Auto B-Roll makes B-roll production practical at volume podcast edit rates.
Coming to CaptionX
B-roll that matches your script. Automatically.
Auto B-Roll is coming to CaptionX for Adobe Premiere Pro. Join the waitlist to be first.
Already using CaptionX? Download the plugin →