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Multilingual video localization, with the assets you’ve already built

It’s Friday afternoon. The head of marketing pings the localization lead: “Can we get this video in Spanish? Oh, and Portuguese, Japanese, and French.” 

It’s a question every localization manager has heard, and the version most teams know goes like this. The video gets routed to a media vendor. Someone re-briefs them on terminology that’s already approved somewhere else. The TMs your team has spent years building don’t apply. The QA checklist you’d use for text doesn’t apply either. 

Two weeks later the subtitles come back, and the German spelling of the new product name doesn’t match what’s on the website.

That’s the parallel workflow problem most enterprise programs have quietly tolerated. Phrase Studio closes it. Here’s what that actually looks like in practice.

What “adding” Phrase Studio actually looks like

If your team already uses Phrase, there’s nothing to integrate. Studio is part of the Phrase Platform, so your translation memories, termbases, glossaries, and QA settings carry across. Enabling Studio doesn’t require onboarding a new tool or rebuilding any of these assets.

You open Studio from the same workspace you use for text projects. Subtitle profiles, pronunciation rules, monolingual transcription glossaries, and QA settings sit alongside the controls you’re already familiar with. Reviewers who already have access to your projects see video tasks in the same queue.

If you’ve been bracing for the usual parallel onboarding, you can skip that worry. There isn’t one.

The content you’d put through it first

Studio handles subtitling, voice-over, full dubbing, and an AI insights layer that turns video into social copy, summaries, and other repurposed outputs. The harder question is what to put through it first.

The strongest starting points are high-volume, internally produced content where the source is well controlled. Training videos and e-learning modules are usually the most leveraged place to begin. Product walkthroughs and tutorial content tend to follow. Marketing material and brand films often come later, once the workflow is familiar.

Internal communications are worth a separate mention. All-hands recordings, executive updates, and town hall content often carry the largest unmet demand and the lowest historical investment, partly because the old AV vendor model made them too expensive to localize routinely. When AV runs inside the same workflow as text, the cost equation changes.

How your TM and termbase actually apply

This is the part that surprises most teams. The answer’s more concrete than ‘your TM applies’ makes it sound.

When Studio transcribes audio into source-language text, that text becomes translatable content the same way any other source segment would. Your termbase enforces approved terminology at the point of translation. Your TM surfaces previous translations exactly as it would for a UI string or a knowledge base article. The transcription stage produces source segments that the rest of your linguistic asset stack already knows how to handle.

What this fixes is terminology drift. When AV is processed outside the TMS by a media vendor with no access to your termbase, the same product name can be rendered three different ways across multiple videos and languages, and the inconsistency only surfaces when someone notices it months later.

Inside Studio, the termbase enforces consistency at the point of translation, the same way it does for everything else. The TM also writes back: any edit you make to a subtitle translation syncs to your TM automatically, so future content inherits the work without a manual upload.

AutoAdapt and Studio’s AI-driven shortening for dubbing also live inside this stack. Audience-specific adaptation works the same way it does for text. You can adapt content for, say, women aged 45 and over in Buenos Aires, then apply that adaptation to dubbed audio without rebriefing a media vendor.

When the source pace is fast or screen time’s tight, Studio can shorten translations within your terminology and style constraints, so the dub fits the picture without losing what the brand voice required.

Discover Phrase Studio

Combine live transcription, multilingual captioning, speaker detection, and summarization with built-in privacy controls and human-in-the-loop workflows. So you can capture conversations and content as they happen – and get them ready for global teams in moments.

What a first project really involves

A first project’s usually an existing piece of English-language video. You upload it, either directly or via the Google Drive integration. Studio transcribes it using ASR, applies your subtitle profile, and lets you review and correct the transcript before translation begins. Speaker identification, segment splitting, and timing adjustments sit inline, with instant QA flagging subtitle profile violations as you work.

From there, you choose your translation path. The fast option is Studio’s built-in AI translation. The full option is sending the project into Phrase TMS for the standard workflow you already use, including AutoAdapt pre-translation and full linguist review. Edits made anywhere sync back automatically. When translation’s approved, dubbing or subtitling output is generated. Change a subtitle and Studio flags the affected dubbing segments for one-click re-dubbing, so you’re not regenerating audio you didn’t change.

Most teams find the first project takes longer than the ones that follow. The reason is calibration. How much editing does the transcript need? How should subtitle timing work for your content type? What does a dubbed output sound like for your brand voice? By the third or fourth project, the workflow’s routine. One global enterprise customer reported a 40% reduction in time-to-publish after consolidating their AV process into Studio, mostly by removing the vendor coordination steps.

The integrated workflow keeps editorial judgment intact. Reviewers still review. What changes is everything around the review: vendor coordination disappears, terminology stays consistent because the termbase enforces it, and the rework that used to surface in production stops happening because it never starts.

The shorter version of all this: Phrase Studio is the only platform where AV content runs inside the same language asset stack your text content already uses. Other tools talk to your TMS. Studio is part of it.

If you’d like to see how this lands with your own content, your termbase, and your existing projects, Phrase VP AI Solutions Semih Altinay and Alicia Cosh, Principal Solutions Engineer,  recently ran a live walkthrough – check out the full session below.

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