Hey, before we dive in—just to keep this real: I run that small “other customization and solutions” shop you’ve probably crossed paths with if you’ve ever had a niche, half-baked project that big box dev shops bailed on. Last month, a client hit us up, panicking ‘cause their fancy inventory tool was breaking at their 12 locations in Latin America and Europe. Turned out they’d built for English only, and their multi-language kludge was more messy duct tape than actual support. That convo made me think: how’s everyone else handling this multi-language thing, anyway? And more importantly, what are we doing differently that actually works for people who need “other” solutions, not off-the-shelf garbage? Other Customization and Solutions
I’ll cut the BS right now—most off-the-shelf tools act like multi-language is a checkbox. Add a toggle, drop a string file, boom, done. But here’s the secret no one tells you: when you’re building custom stuff, multi-language isn’t just translating text. It’s about how numbers display (like that random European comma vs US decimal point), date formats (is this June 5th or May 6th? Ugh), even how buttons fit on a screen when a Spanish phrase is way longer than its English equivalent. Oh, and don’t get me started on context—“account” can mean a bank account or a user profile depending on who’s talking, and Google Translate will flop that every time.
First, let’s break down the big players’ default plays, ‘cause that’s the baseline. Big SaaS platforms? They usually rely on what’s called “string externalization”—just yank every text line (button labels, error messages, etc.) out of the code into a separate spreadsheet. Works fine for boring apps like spreadsheets, but if you’re building a custom tool that talks to weird hardware (say, a shipping label printer that uses weird regional settings) or pulls data from 10 different third-party APIs that use their own language rules? That spreadsheet gets messy fast. Last year, we had a client that needed their order tracker to switch between Spanish and Japanese—turns out Japanese characters take 30% more screen real estate, so their English button “Track Order” was way too small for the Japanese equivalent. The big box devs told them to shrink the font, but no—we had to rebuild the button grid entirely, ‘cause that’s not something a string file fixes.
Then there’s the crowd that uses machine translation (MT) to cut costs. I get it—MT tools like DeepL or Google Translate are cheap, fast, and you can plug ‘em right in. But here’s the catch: if your app has jargon (we once had a construction client that needed their tool to translate “rebar coupler” across 8 European languages), MT will give you garbage that a construction worker in Poland would mock. We tried that once for a small café client that needed their loyalty app in French and German—they launched it, got 12 bad reviews ‘cause “points” was translated to “scores” in German, which sounds like video game points, not coffee points. Oops. MT works if you just need basic “hello” text, but if you need your tool to actually do its job, it’s a band-aid that falls off when the first user gets confused.
Now, let’s talk about what other customization and solutions teams—like us—are actually doing, ‘cause we’re not tied to that off-the-shelf playbook. First, we ditch the “one-size-fits-all string file” for what I call a “context-aware localization layer.” Wait, that sounds fancy, but it’s basically a middleman that lives between your app code and the text, not just a folder of translations. For example, if you have a button that says “Submit Order,” this layer doesn’t just pull a pre-written translation—it checks two things: 1) what language the user selected, and 2) what country they’re in. If someone’s in Mexico, “Submit Order” translates to “Enviar Pedido”; if they’re in Spain, it’s “Enviar Commanda” (yeah, Spaniards use different terms) and the layer pulls that automatically, no manual translation needed. We also bake in formatting rules here—so numbers like $1,000.50 in the US turn into 1.000,50 € in Germany, and dates like 6/5/2024 turn into 05/06/2024 or even 2024-06-05 depending on the region. That’s not something a string file can do—you need that custom layer.
Second, we partner with in-country translators, not just MT. Wait, I know that’s more expensive, but here’s the thing: when you’re a small “other solutions” team, you’re building for specific, niche users, not the whole world. So instead of going for Google Translate’s bulk plan, we work with local translators who know both the language and the industry. That construction client I mentioned earlier? We didn’t use MT for “rebar coupler”—we hired a Spanish translator who’s a former construction foreman, so they knew exactly what term a Polish steel worker would use vs. a Portuguese one. For the café client? We got a French translator who’s a regular at Parisian cafés and a German one who’s been to Berlin coffee shops—they fixed the “points” issue in 2 hours, no MT mess. And here’s the bonus: since we’re custom, we can make tweaks on the fly. If a user says “this translation sounds weird,” we can go back to that local translator and adjust it in a day, no waiting for some corporate approval.
Third, we build localization into the UI from day one, not as an afterthought. That’s the mistake everyone makes—they build the whole English version first, then add language support later. By then, the UI is fixed, so when you add German text that’s longer, it cuts off or breaks the layout. For our custom tools, we design the UI with “flexible space” built in. Like, buttons have extra room on the sides, text boxes can expand or shrink, no fixed widths. We also test with real users in their target regions before launch. Last quarter, we had a logistics client that needed their package tracker in Arabic—we built the flex UI, tested with a delivery driver in Dubai, and they said the text never cut off, even when the Arabic translation was extra long. If we’d waited till after building the English version, we would’ve had to rework half the UI, which would’ve cost twice as much and delayed launch by weeks.
Wait, but what about the guys that build super niche stuff—like, tools for small nonprofits that operate in 3 countries with tiny budgets? A lot of other customization teams we talk to use open-source localization tools instead of building their own layer. Things like i18next (for JavaScript) or gettext (more old-school, but still solid). These are free, easy to plug into custom code, and let you manage translations in simple files. We use gettext for smaller projects, like a local animal shelter’s donation tool that needed English, Spanish, and Haitian Creole—no need to build a whole custom layer for that, gettext worked perfectly, and it saved the shelter a few bucks. That’s the thing about custom solutions—you pick the tool that fits the project, not the other way around. No “one tool to rule them all” garbage.
Of course, there are still pitfalls we run into, even with this setup. Last year, a client asked for their tool to support 10 African languages, and we thought—wait, do we have translators for all of those? Nope, so we paired with a local translation collective in Nigeria that specialized in regional African languages, and we adjusted the flex UI to handle characters that don’t exist in European languages. It took a bit more coordination, but it worked way better than trying to scrape Google Translate for Yoruba or Amharic. Another pitfall: right-to-left (RTL) languages like Arabic or Hebrew. The big tools flip the whole UI, but when we’re building custom, we can make the flip smart—like, menus stay on the right (instead of left) for RTL, and text alignment switches without breaking the rest of the layout. That’s the kind of tiny, customizable touch that off-the-shelf tools can’t do.
Here’s the big takeaway from all this: when you’re a “other customization and solutions” provider, you don’t have to follow the big tech playbook for multi-language support. You can mix custom layers, local translators, flexible UI design, and even open-source tools depending on the project. The key is to stop treating multi-language like a checkbox and start treating it like part of the actual tool’s job. If your tool works for someone in Germany but not someone in Brazil, it’s half-baked, plain and simple.
PTFE in Energy Industry If you’re reading this and you’re stuck—maybe your custom tool is breaking in new regions, or your translations are garbage, or your UI looks like a mess when someone switches language—hit us up. We don’t do off-the-shelf, we don’t do generic fixes, we do the “other” stuff that actually works for your unique project. No sales jargon, no long forms, just real talk about what you need. Let’s chat, no pressure.
References
- Internationalization & Localization Association. (2022). Localization Trends 2022: Moving Beyond Basic Translation. ILTA.
- Adobe Experience League. (2023). Building Flexibly for Multi-Language UIs: Avoiding Layout Breakage. Adobe Inc.
- Localization World. (2021). MT vs. Human Translation: When to Use Which for Custom Business Solutions. Localization World.
- freeCodeCamp. (2022). Open-Source Localization Tools for Custom Web Apps. freeCodeCamp.org.
- Common Sense Advisory. (2023). The Cost of Poor Localization: A 2023 Industry Report. Common Sense Advisory.
Hanchen Membrane Technology Co., Ltd.
Address: Shangzhai Industrial Zone, Geshan Town, Dongyang City, Zhejiang Province, China
E-mail: jlkj@techjl.com
WebSite: https://www.hceptfe.com/
