I Built a Korean AI API With $0 and It Makes Money While I Sleep
The Problem
There are 80+ million Korean speakers worldwide, and thousands of businesses need to process Korean text — news monitoring, K-content translation, market research, social media analysis.
But most translation APIs treat Korean as an afterthought. Google Translate is decent for simple sentences, but fails on:
- Business Korean (formal/informal register)
- Korean slang and internet language
- Context-dependent meaning
- Summarizing Korean text into English
What I Built
Korean AI Translator & Analyzer — a REST API with 3 endpoints:
1. /translate — Korean ↔ English
Not word-by-word. AI-powered, context-aware translation.
POST /translate
{
"text": "오늘 날씨가 정말 좋다. 커피 한 잔 하면서 코딩하기 딱 좋은 날이야.",
"direction": "auto"
}
// Response:
{
"translated_text": "The weather is really great today. It's a perfect day to have a cup of coffee and do some coding.",
"source_language": "ko",
"target_language": "en"
}
2. /summarize — Summarize Korean text in English
Feed it a Korean news article, get an English summary.
POST /summarize
{
"text": "삼성전자가 차세대 HBM4 메모리 반도체의 양산을 시작했다...",
"language": "en",
"max_sentences": 2
}
// Response:
{
"summary": "Samsung Electronics has begun mass production of HBM4 memory, which is 2x faster and 30% more power-efficient. Supply confirmed to both NVIDIA and AMD.",
"original_length": 189,
"summary_length": 168
}
3. /analyze — Sentiment + Keywords + Category
Understand Korean text without reading Korean.
POST /analyze
{
"text": "삼성전자 주가가 급등했다. HBM4 메모리 칩이 엔비디아에 공급 확정."
}
// Response:
{
"sentiment": "positive",
"confidence": 0.85,
"keywords": ["삼성전자", "HBM4", "엔비디아"],
"category": "economy",
"summary_en": "Samsung Electronics stock surged on HBM4 supply confirmation to NVIDIA."
}
The Stack (Total Cost: $0)
| Layer | Tech | Cost |
|---|---|---|
| AI Model | Llama 3.3 70B via Groq | $0 (14,400 req/day free) |
| Server | Vercel Serverless | $0 (free tier) |
| Framework | FastAPI (Python) | $0 |
| Marketplace | RapidAPI | $0 (25% commission only) |
No servers to manage. No AI bills. No infrastructure costs.
How It Makes Money
Listed on RapidAPI with a freemium model:
| Plan | Price | Requests |
|---|---|---|
| Basic | Free | 50/month |
| Pro | $15/mo | 2,000/month |
| Ultra | $50/mo | 10,000/month |
| Mega | $150/mo | 50,000/month |
RapidAPI handles billing, authentication, and rate limiting. I just built the API.
Who Needs This?
- Trading firms monitoring Korean market news
- K-content platforms translating K-pop/K-drama content
- Marketing agencies analyzing Korean social media
- News aggregators covering Asian markets
- Researchers studying Korean media
Try It
- RapidAPI: Korean AI Translator & Analyzer
- GitHub: korean-ai-api
Also built an MCP server for Claude users: korean-news-mcp — gives Claude real-time access to Korean news.
What I Learned
- Niche beats broad. 282 translation APIs on RapidAPI, but almost none specialize in Korean.
- AI APIs are basically free to run. Groq gives 14,400 free requests/day. Vercel's free tier handles the rest.
- Build the API, let the marketplace sell it. RapidAPI has millions of developers browsing. I don't need to do marketing — I need to be findable.
Built in one day with Python, FastAPI, and Claude Code. Total investment: $0.
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