“Bro, scene kya hai tonight?”
“Brother, what is the scene tonight?”Technically translated. Practically weird.
People write "kal milte hain?" and "¿puedo reschedule?" every day. Every translation tool turns it into something stiff, robotic, and wrong. Mixingo is built for those sentences — as a web translator anyone can use, and an API developers can ship.
Think about the last time you typed in two languages at once. You didn't stop to think about it — it just came out that way. Now paste that sentence into Google Translate. It comes back wrong. Stiff. Like it was written by someone who learned the language from a dictionary, not from life.
That's the gap Mixingo fills.
We translate the way you actually write — not the way translators wish you did.
“Bro, scene kya hai tonight?”
“Brother, what is the scene tonight?”Technically translated. Practically weird.
“Bro, scene kya hai tonight?”
“Hey, what’s the plan for tonight?”Meaning, context and vibe — preserved.
When someone writes "yaar urgent hai please dekho," they're panicking. A bad translation strips that out. Your support team reads "friend urgent please check" and doesn't escalate. That's a churn event.
Language detection tells you which language someone used. It doesn't tell you what they meant. Context is everything. Detection alone gives you nothing.
Not a prompt you have to maintain. Not a translation model you have to fine-tune. One API call that returns predictable JSON, handles script switching, and doesn't break when your user types the way they actually think.
Translation designed for mixed-language, informal, human text — the kind that breaks every other tool.
Hinglish, Spanglish, Taglish, Singlish, Arabizi and regional mixes are treated as first-class inputs, not edge cases.
"Arey yaar chillax kar" shouldn't come back as "Oh friend please relax." It should come back as "Relax, man." Mixingo preserves how something was said, not just what it said.
Romanized words, native scripts, informal spelling and mid-sentence switches are part of the input model.
Predictable JSON. Streaming for live chat. Non-streaming for batch jobs. Script detection baked in. Account-level usage controls. No prompt engineering required.
Explore docs preview ↗const result = await mixingo.translate({
text: "bhai kal urgent hai, boss ne bola ASAP reply karo",
target: "en",
style: "natural"
});
// "Hey, there's an urgent meeting tomorrow —
// the boss wants a reply ASAP"
// tone: urgent | detected: Hinglish
Google, DeepL and Azure are broad, powerful translation platforms. Mixingo is being built for a narrower problem they do not explicitly position around: naturally interpreting code-mixed, transliterated, informal text.
| Best suited for | ✦ Mixingo | DeepL | Azure | |
|---|---|---|---|---|
| Code-mixed input focus | Core purpose | Not positioned for it | Not positioned for it | Not positioned for it |
| Informal tone & slang | Designed around it | General translation | Style controls* | Custom models* |
| Text translation | Focused | Broad suite | Broad suite | Broad suite |
| Documents / images / speech | Roadmap | Strong | Strong | Strong |
*Competitor capabilities vary by language, plan and API. Comparison reflects public product positioning, not a claim that competitors can never process mixed input. View methodology & sources →
We took a real Hinglish sentence and ran it through Google Translate, DeepL, ChatGPT, and Mixingo. Here's what came back.
"Brother, there is an urgent meeting tomorrow, the boss said reply ASAP otherwise there will be a problem"
Literal. "Brother" misses the casual register. Sounds robotic."Brother there is an urgent meeting tomorrow, the boss said reply ASAP or there will be a problem"
Nearly identical to Google. No tone awareness. DeepL has limited Hindi support."Hey, there's an urgent meeting tomorrow. The boss wants you to reply ASAP, or there'll be trouble."
Better tone but requires prompt engineering. Inconsistent across sessions."Dude, urgent meeting tomorrow — boss says reply ASAP or it's gonna be a problem."
Preserves casual register. "bhai" → "dude" (not "brother"). Tone: urgent + informal.Test conducted June 2026. Results may vary. Mixingo output shown is from pre-launch model. Full methodology →
Try it on your messiest sentence. No account needed to start.
Start translatingFor developers and creators shipping products for multilingual users.
Go Builder ↗For growing products with serious multilingual needs.
Book a conversationFirst 1,000 beta members lock in $29.99/year — permanently. After that, yearly goes to $39.99. This is the only time this price exists.
You can. A lot of developers start there. But you'll spend time maintaining that prompt, debugging edge cases, handling script detection yourself, and paying frontier model prices for every translation call. Mixingo is a purpose-built endpoint — cheaper per call, no prompt maintenance, structured output every time.
It's how multilingual people naturally communicate — switching between languages, scripts, and slang within the same sentence. Think Hinglish, Spanglish, Arabizi, Taglish, and countless everyday combinations.
Yes. Anonymous visitors can translate up to 1,000 characters at a time, with no account or credit card needed.
Hinglish, Spanglish, Taglish, Singlish, Arabizi, and Manglish are fully supported at launch. More pairs are added based on what beta users actually send — not what we assume they'll need.
A JSON response with the translated text, detected language mix, script type, and tone classification. Streaming available for live chat use cases. See the developer page for the full schema preview.
Yes. Signed-in accounts use one clear, unified character allowance across both web and API translation.
Not yet. Mixingo is focused on fast, excellent text translation today. File translation is on the roadmap.
Join the founding waitlist — this is the only time these terms exist.
It's going to come back wrong on Google. It doesn't have to.
Join the Mixingo beta ↗Private beta · Founding access · Built with early users