# Ship captions and subtitles without the grind

> Pull SRT/VTT files and clean transcripts in one step — accessibility and search indexing in the same pass.

- For: Producer
- Category: Content Strategy & Creators
- MCP tools: run_youtube_tool, library_import_youtube_video, get_youtube_transcript
- HTML version: https://veridive.com/mcp/use-cases/caption-accessibility-workflow

## The problem

Captions are the deliverable everyone agrees matters and nobody budgets for. They serve deaf and hard-of-hearing viewers, the majority who watch muted, the translators who need source files, and the search engines that index text — four audiences from one artifact. Yet in most production pipelines, captioning is the step that slips: auto-captions stay unedited (and their errors become your brand's typos), SRT files get made once for the big launch video and never again.

The grind is the reason — per-video, per-format file wrangling across a back catalog of dozens or hundreds of uploads. It's exactly the kind of mechanical volume work that shouldn't touch a human's week.

## How veridive MCP helps

**run_youtube_tool**'s `srt-vtt-downloader` produces the caption files — standard SRT/VTT from any public video's URL, ready for your player, your translators, or your re-upload pipeline. Batch it across the catalog and the captioning backlog becomes an afternoon.

**library_import_youtube_video** plus **get_youtube_transcript** supply the companion artifact: the clean, timestamped transcript — the master text your captions, blog embeds, and site search all derive from (pulls are free once imported). And for spoken-word content that needs a fresh transcription pass, `stt-transcription` runs speech-to-text through the same entry point. One workflow, every text artifact a video owes the world.

## How to run it

1. **Connect veridive MCP** — One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes.
2. **Pull the caption files** — SRT/VTT per video, straight from URLs — batchable across the whole catalog.

   ```
   Get the SRT and VTT caption files for these videos: <video URLs> — use veridive's run_youtube_tool.
   ```
3. **Build the master transcripts** — Import the catalog and pull clean timestamped transcripts — the source text for pages, embeds and search.

   ```
   Import these videos into my library and pull each one's full transcript with timestamps: <video URLs>
   ```
4. **Feed the downstream uses** — Translators get the SRTs, the site gets transcript pages, and accessibility review gets a readable text pass.

   ```
   From these transcripts, flag anything a caption editor should review — unclear passages, likely mis-transcriptions, speaker changes.
   ```

## Problems it solves

- Captioning slips in every pipeline because it's per-video file grind nobody budgets.
- Unedited auto-captions publish their errors under your brand's name.
- Translators wait on source SRT files that take a week to materialize.
- The back catalog — often hundreds of videos — never gets captioned at all.

## Why it's valuable

- Four audiences (accessibility, muted viewers, translators, search) served by one batched pass.
- The back-catalog backlog collapses from a quarter's grind to an afternoon.
- Master transcripts unlock the SEO layer: transcript pages that make video content indexable.
- The review step focuses human time where it matters — corrections, not transcription.

## Example prompts

```
SRT + VTT files for these videos: <URLs> — use veridive's run_youtube_tool.
```

```
Import these and pull full timestamped transcripts: <URLs>
```

```
Flag passages a caption editor should review in these transcripts.
```

## FAQ

**Which tools cover which artifact?**

srt-vtt-downloader (via run_youtube_tool) produces the caption files from any URL; import + get_youtube_transcript produce the clean master transcript (free once imported); stt-transcription handles fresh speech-to-text passes when needed.

**Are the caption files edit-ready?**

They're standard SRT/VTT — load them into any caption editor for the human review pass. The workflow eliminates the extraction and formatting grind; editorial judgment on the text stays yours.

**Does this help SEO beyond accessibility?**

Substantially — transcript pages and caption files are how search engines (and AI assistants) read your video content. The same pass that serves accessibility makes your catalog indexable.

## Related use cases

- [Repurpose webinars into SEO blog posts](https://veridive.com/mcp/use-cases/webinar-to-seo-posts.md) — That hour-long webinar is three blog posts; import it and draft them with structure and quotes intact.
- [Turn one video into a week of content](https://veridive.com/mcp/use-cases/one-video-week-of-content.md) — Blog post, X thread, LinkedIn post, newsletter section, Shorts script — one upload, six assets, same day.
- [Run a cost-aware transcript pipeline](https://veridive.com/mcp/use-cases/free-tier-transcript-pipeline.md) — Batch transcript pulls are free for imported videos; a credit check keeps the paid steps intentional.

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Part of the veridive MCP use-case library: https://veridive.com/mcp/use-cases.md
Server docs for agents: https://veridive.com/mcp.md