Key Takeaways
- 66% of YouTube’s audience doesn’t speak English — most creators are producing content that’s invisible to the majority of the platform.
- Translation is just the first draft. True localization means cultural adaptation: swapping references, idioms, and figures that don’t cross borders.
- AI dubbing has a real hallucination problem — Calegari has seen brand-unsafe content published in Portuguese because no human reviewed the AI output.
- Dubbing an existing video costs less than producing a new one — localization is leverage on content you’ve already paid for.
- MrBeast sets the benchmark: localized thumbnails, market-specific guest creators, and full content adaptation — not just a dubbed audio track.
The Stat That Should Change How You Think About Your Channel
Here’s the number most creators never look up: approximately 66% of YouTube’s audience doesn’t speak English. That’s not a rounding error—that’s the majority of the platform sitting outside the reach of every English-language video you’ve ever published.
Felipe Calegari has spent the last several years working inside that gap. As a localization manager at C Sharp Recording Studios, he’s handled Brazilian Portuguese dubbing and adaptation for some of the biggest names on YouTube—Dhar Mann, Stokes Twins, ZHC, and Ben Azelart, among others. The Stokes Twins, who had 44 million subscribers when he started working with them, eventually expanded onto Netflix, and Calegari’s team was part of that reach.
His core argument: most creators think “going global” means running their script through a translation tool and calling it a day. That’s not localization. That’s barely the first step.
“The translation is only the first step. It’s like writing a draft on a piece of paper—it’s not the final version. It’s just a draft. You have to go through other steps.”
This distinction—between translation, localization, and full cultural adaptation—is where most creators leave significant audience growth on the table.
Translation vs. Localization vs. Full Cultural Adaptation
Calegari breaks the process into tiers, and understanding where each one stops is critical before you spend a dollar on global content.
Translation: The Floor, Not the Ceiling
Translation converts words from one language to another. It’s table stakes. The problem is that translated content often lands awkwardly—culturally tone-deaf references, idioms that don’t carry over, and names or figures that mean nothing to the target audience.
Calegari gives a concrete example: Gordon Ramsay is a household name in the English-speaking world. In Brazil, he’s largely irrelevant. The equivalent cultural figure there is Erick Jacquin. If you’re making content about elite chefs and you reference Gordon Ramsay for a Brazilian audience, you’ve already lost the thread. A translation would keep Ramsay’s name in. A localization would swap it out.
Localization: Adapting the Message, Not Just the Words
True localization means understanding what the content is actually communicating and finding the cultural equivalent in the target market. It requires a human who knows both the source culture and the destination culture well enough to make judgment calls a machine can’t.
For Calegari, this shows up in every project. When he receives a video from a creator, he personally reviews and adapts the AI-generated transcript before it goes anywhere near a voice actor. That review process alone takes around eight hours per week—word by word, decision by decision.
The workflow for something like a Stokes Twins or Ben Azelart video runs under real time pressure: sometimes just one or two days from receiving the file to delivering finished dubbed audio, because the localization team works in parallel with the visual effects team. There’s no margin for error, and there’s no room for AI hallucinations slipping into published content.
Full Cultural Adaptation: The MrBeast Standard
At the top of the spectrum is what MrBeast does—and Calegari points to this as the actual benchmark for what global content growth looks like when done seriously.
MrBeast doesn’t just dub his videos. His team produces localized thumbnails for different markets—different cars, different police uniforms, different facial expressions—all customized to make the content feel native rather than imported. For MrBeast Games, he went further and brought in market-specific creators as guests. In Latin America, that meant Fede Vigevani appearing in videos. In France and Europe, different regional collaborators. The language changes, but so does the social proof and the cultural familiarity.
“It’s not just about how it sounds or how you reach those audiences—it’s about how you make a video that can be well received by those audiences, and how you can make the best video possible for people who don’t speak English.”
Most creators aren’t in a position to run a full MrBeast-level localization operation. But the principle scales down: even adapting thumbnails and titles for different markets, or choosing not to reference culturally specific figures that won’t land, moves the needle.
How the Production Process Actually Works
Calegari’s day-to-day workflow reveals how complex even “just dubbing” gets at scale.
When he started with Dhar Mann, the team was producing three videos a week. By the end of that contract, they were doing nine videos a week—two to three hours of finished content per week in Brazilian Portuguese. That volume required building real systems: transcript review, character assignment, voice direction, audio mixing, post-production quality checks.
For Dhar Mann’s content—pre-produced, scripted drama—there was more lead time. For live-action vlog-style content from creators like Ben Azelart or Stokes Twins, the window could compress to a single day. The localization team receives a rough cut, works from it in parallel with the editing team, and delivers before the final video drops.
The process Calegari runs looks like this:
- Receive the video file along with an AI-generated transcript and timestamped script as a foundation
- Personally review and adapt the transcript from English into Brazilian Portuguese—not just translating, but localizing each line
- Identify every character in the video and assign voice actors, tracking which actors have previously voiced recurring characters to maintain continuity
- Record his own voice lines (he’s the Brazilian Portuguese voice of Ben 10 in Ben Azelart’s content), then coordinate the rest of the cast
- Collect all audio files, align timing, adjust acoustics so different recordings sound like they belong in the same space, and deliver a preliminary mix
- Hand off to C Sharp Recording Studios for final processing and delivery to the creator
Every word gets reviewed before it goes to any voice actor. That’s not optional—it’s the quality control that separates professional localization from AI-generated content that lands wrong.
The AI Dubbing Question: Honest Answer
Calegari doesn’t dodge the AI dubbing question, even though it’s cost him work directly. His take is measured but clear: AI dubbing isn’t ready to replace human localization, and the reasons are specific.
The core issue isn’t that AI can’t translate—it can. The issue is that AI doesn’t know what needs to be localized versus what should stay as-is, and it doesn’t catch its own mistakes. Calegari has personally watched AI-dubbed videos published in Brazilian Portuguese containing content that was inappropriate, brand-unsafe, or simply wrong—hallucinated lines or misrendered cultural references that no human reviewer would have let through.
For creators with brand partnerships or sponsorships, that’s not an abstract risk. A single badly localized video can damage relationships with sponsors who don’t want their brand associated with whatever the AI mistranslated.
His actual position on AI in localization is practical rather than defensive: use it for the scaffolding, not the finished structure. AI-generated transcripts save significant time in the early stages of the workflow. But those transcripts require human review—and that review is where the real localization happens. The AI gives you a draft. A human who knows both cultures makes it work.
The hybrid model—AI for speed, human expertise for quality and cultural judgment—is where Calegari sees the industry landing. Not AI replacing localization professionals, but AI changing what those professionals spend their time on.
When Should a Creator Actually Start Localizing?
Calegari’s answer to the size question—”how big do I need to be before this makes sense?”—isn’t a subscriber count. It depends on three things: where your existing audience is concentrated geographically, how large the potential market is in your target language, and what your niche requires in terms of localization complexity.
Some niches localize easily—entertainment, reaction content, challenge formats. Others require more nuanced adaptation because the content is more culturally specific. A cooking channel referencing American ingredients and techniques has more translation work to do than a challenge channel where the appeal is visual and universal.
The cost argument is also worth understanding directly: dubbing an existing video is cheaper than producing a new one. As YouTube gets more competitive and the cost of producing each video climbs—better production, longer runtimes, more complex editing—getting more reach out of existing content through localization becomes a better ROI calculation. You’ve already paid for the video. Dubbing it for a new language market is leverage on what you’ve already built.
Calegari’s point about market saturation is also worth sitting with. Creators often feel like they’ve hit a growth ceiling when they’ve captured a significant share of their home market and native language audience. What they’ve actually hit is the ceiling of one language. The ceiling of the global market is much higher—and in some categories, the international audience for a given type of content is larger than the domestic one.
Brazil as a Case Study in Overlooked Audiences
Calegari’s experience is rooted in the Brazilian market, and it’s a useful example of how wrong the “secondary audience” framing is for non-English markets.
Brazil is one of the most engaged social media markets in the world. Brazilian YouTube audiences were already interacting heavily with creators like Dhar Mann before any localization existed—Brazilian YouTubers were reacting to Dhar Mann content, building their own audiences around it. The demand was there. The localized supply wasn’t.
When Calegari’s team started producing Brazilian Portuguese content for Dhar Mann, they weren’t creating demand from scratch. They were meeting demand that had been there all along, just underserved. The same dynamic exists across markets—India, Spain, Latin America broadly, Indonesia—where English-language creator content has organic reach that gets amplified dramatically when it’s properly localized.
The Ben Azelart “Stay Wild” content is another example Calegari mentions. In videos that touch on soccer (a topic that lands differently for American versus Brazilian audiences), the team would surface flags from India, Brazil, and other markets and directly ask viewers where they were watching from. That’s not just a localization tactic—it’s an audience signal that tells international viewers they’re seen, not an afterthought.
Getting Started: What Calegari’s Team Actually Offers
For creators who want to explore localization, Calegari’s entry point is Brazilian Portuguese content through C Sharp Recording Studios, where the team works across more than 25 languages with native speakers and professional dubbing artists in each market.
His recommendation for anyone considering localization: request a demo. Hear what your content sounds like with native-speaker dubbing before committing to anything. The starting point is understanding what’s possible, not signing a contract for nine videos a week.
Calegari is reachable via LinkedIn under Felipe Calegari Papinelli, and C Sharp Recording Studios can be found through their website and social channels.
The broader point he makes to close: going global isn’t a production decision, it’s a strategy decision. You’re not just changing the language. You’re deciding whether your content exists for one audience or for every audience it could genuinely serve. Most creators have already done the hardest part—made content worth watching. Localization is how you make sure the people who’d love it can actually access it.