Agents: 6 Step Process for Listing Video Captions That Fix Names
For listing videos, the fastest reliable approach is: generate a transcript, sync captions, correct proper nouns and non-speech cues, then export closed captions or burn them in for social. This sequence matters because accurate captions satisfy accessibility requirements under WCAG 2.2 while also improving viewer retention and discoverability. The checklist and step-by-step workflow below turn that single sentence into something your team can run on every listing.
TL;DR:
Generating accurate captions requires syncing transcripts, correcting proper nouns, and exporting multiple formats, with emphasis on workflow sequence.
Pre-shoot planning, like choosing caption type and creating custom dictionaries, prevents delays and improves caption accuracy across listings.
Automated speech recognition should be used only as a first draft; manual verification, especially of local names, remains essential for credibility.
Captions must meet accessibility standards, including appropriate size, placement, and covering only a small screen area, with closed captions preferred when supported.
Burned-in captions suit autoplay muted social feeds, while external caption files are preferable for platforms like YouTube; always verify display inside final platform previews.
Table of Contents
Pre-captioning checklist for agents on set or in post
Before any editing software opens, a few decisions upfront save real time later. Rework on captions almost always traces back to something skipped during capture or planning, not a flaw in the caption tool itself.
Decide closed versus open captions for each target platform before you shoot, since the choice affects export settings later.
Record a short pronunciation clip for tricky street names or development names and add them to a custom dictionary for your transcription tool.
Export a clean master audio and video file and save the transcript separately so it can support indexing later.
Plan safe zones for price, address, and agent-contact supers so captions never collide with on-screen data.
Choose your output formats: SRT or VTT for platforms that support closed captions, plus a burned-in version for social feeds.
Schedule a short proofing pass before publishing, focused specifically on proper nouns and timing.
Working through this list on set, rather than discovering gaps in the edit bay, keeps listing videos moving toward publish instead of back into revision.
Step-by-step workflow: create, edit, and export listing video captions
A reliable captioning workflow follows the same logic whether you’re captioning a single walkthrough or a batch of listings. Vendor-level captioning guidance describes a similar sequence: import a transcript, sync it, format the text, then embed or export depending on where the video lands.
Prepare. Capture clean audio, export a master file, and build a custom dictionary covering local proper nouns, complex names, and agent names.
Generate. Run automatic speech recognition or manual transcription to produce timecodes, then import the transcript into a caption editor.
Edit. Correct proper nouns, add speaker identification, insert non-speech cues such as music or notable sound, and enforce a two-line, roughly 42-character-per-line limit while adjusting timing for natural reading speed.
Place. Reposition captions or use dynamic placement to avoid price and address supers, keeping caption coverage under about 20% of the screen.
Export. Produce SRT or VTT files for players and platforms that support closed captions, and hardcode captions for platforms or portals where file-based captions aren’t supported.
Verify. Test the final export on the intended platforms and devices with captions turned on, not just in the editing timeline.
Pro Tip: Build your custom dictionary once per market area and reuse it across every listing. Street names and development names rarely change, so the correction work you do on the first video pays off on every one after it.
This order matters because each step depends on the one before it. Editing before syncing wastes effort on text that will shift once timecodes lock, and exporting before verifying risks publishing a caption file nobody has actually watched on a phone.
Accessibility and standards: what caption content and styling must include
Captions aren’t just a nice-to-have add-on. WCAG 2.2 Success Criterion 1.2.2 requires captions for prerecorded video that cover dialogue plus essential non-speech information, including music cues, sound effects, and speaker identification. The Style Manual adds practical styling guidance on top of that requirement.
Caption text should be a readable size and limited to a few lines with appropriate character length per line.
Captions should avoid covering a significant portion of the screen, in order to protect important overlays such as price and address.
Closed captions are preferred over open captions when the platform supports them, with a transcript provided alongside for indexing and accessibility.
Center-bottom placement works for most listing videos unless a super requires the caption to move.
None of this is complicated once it’s written down, but it’s easy to miss when captions are treated as an afterthought rather than part of the shot list.
Platform notes: social feeds, portals, and the burn-in decision
Where a video lives determines whether a caption file or a burned-in caption works better. NSW Government social media guidance recommends burned-in captions specifically for autoplay, muted feeds, since viewers scrolling past won’t always toggle captions on.
Platforms like YouTube and Vimeo accept SRT or VTT files directly, which keeps the caption track separate and editable.
Many property portals and aggregator feeds don’t accept separate caption files at all, so burned-in captions are often the only way to guarantee visibility.
Check legibility at phone screen widths specifically, since a caption that reads fine on a desktop preview can crowd out on a six-inch display.
Preview every final export inside the destination app rather than trusting the editing timeline, since native players sometimes render caption position differently.
AI and automation: using ASR without losing listing credibility
Automatic speech recognition speeds up the first draft of any caption track, but it consistently struggles with localized terms. South Australian government accessibility guidance notes that automated captioning often misidentifies street names and development names, which is exactly the vocabulary that shows up constantly in listing videos.
Treat auto-generated captions as a first draft, never a final product, and always run a manual verification pass.
Maintain a running custom dictionary of street names, development names, and agent names to train your transcription tool over time.
Check your cloud ASR provider’s terms and confirm client consent before uploading property audio, since some services retain or process uploaded media.
The reliable order is ASR first, then a manual edit pass focused specifically on proper nouns and non-speech cues, then export.
Pro Tip: Run your custom dictionary through the ASR tool before the first edit pass rather than after. Correcting names during transcription takes a fraction of the time it takes to fix them scattered across a finished caption track.
How Blistr fits into a caption-ready listing workflow
Captioning is faster when the underlying video, transcript, and supporting assets are built with captions in mind from the start, rather than patched on afterward. We produce listing collateral, including images, videos, and transcripts, as caption-ready assets rather than raw footage that still needs a full production pass.
We deliver image, video, floor plan, and avatar collateral for listings from a single property capture, designed to shorten the runway between shoot and publish.
Transcripts generated as part of the collateral package can give your team a head start on the correction pass described above, instead of starting from a blank transcription.
Our accessibility statement outlines how we approach standards-aware deliverables across the collateral we produce.
What on-set captioning actually teaches you
Most caption problems trace back to decisions made before anyone opens an editor, not to the editor itself. A thirty-second pronunciation recording for each property name, captured the same day as the walkthrough footage, prevents most of the proper noun errors that automated transcription introduces.
Exporting two versions, an SRT file and a burned-in social cut, costs little extra time once the correction pass is done, and it covers both file-friendly platforms and muted autoplay feeds. When a shoot day runs long and corners have to come off somewhere, cut time from anywhere except the audio cleanup and the corrected transcript: a clean transcript is the one asset that keeps paying off across every platform the video eventually reaches.
— Pierce
Book a managed, caption-ready collateral package
If building and correcting caption tracks for every listing isn’t where your week should go, we build the underlying video, images, and transcripts as caption-ready deliverables from the start, so your team starts the correction pass instead of a blank transcription.
Check package inclusions or go straight to booking a capture date to get caption-ready assets moving for your next listing.
FAQ
How do I insert a caption?
Import a synced transcript into a caption editor, then export the result as an SRT or VTT file for platforms that support closed captions, or burn the text directly into the video for platforms that don’t. Most editing software and dedicated captioning tools follow this same import, sync, and export sequence.
Is there an AI caption generator available?
Yes, automatic speech recognition tools can generate a first-draft caption track quickly, but accessibility guidance warns that these tools often misidentify local street names and development names. Always run a manual correction pass on proper nouns before publishing.
What is caption style?
Caption style refers to formatting choices like font size, line length, and placement. The Style Manual recommends captions no smaller than 9pt, limited to two lines of roughly 42 characters each, and positioned so they cover no more than about 20% of the screen.
How do you get captions on Facebook videos?
Facebook and similar social feeds often autoplay muted, so burned-in captions tend to display more reliably than uploaded caption files. NSW Government social media guidance recommends testing captions in the platform’s native preview before publishing to confirm they display as expected.
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