Sending text to an existing translation API and returning the result is a thin, honest wrapper — you're integrating an existing translation model, not building one.
VIBE SCORE 99/100
The parts this build actually needs, each rated on its own — the average is the Vibe Score above.
| Landing page | 99 |
Two real costs, not just "free": the AI agent's own usage, and hosting once it's running. Both are estimated from this app's own effort rating and component list — see the assumptions on the method page.
| AI agent — with a subscription (Claude Pro/Max, Cursor, etc.) | $0 marginal |
| AI agent — pay-per-use API, no subscription | $16–$27 one-time |
| Hosting, once it's running | $0/mo (free tier) |
| Domain name, if you want your own | ~$12/yr |
DeepL costs $8.74/mo. Even paying per-token with no subscription, and accounting for hosting, this build pays for itself in about 4 months.
Build it. Sending text to an existing translation API and returning the result is a thin, honest wrapper — you're integrating an existing translation model, not building one.
DeepL costs $8.74/mo (about $105/yr) as of 2026-08. That's what a working rebuild would save you.
The underlying translation model's quality and nuance across languages is genuinely hard, specialist ML research — you're integrating an existing one API costs scale with usage and character volume, so real traffic needs a pricing plan Document-format translation (preserving formatting in a Word doc or PDF) is real, separate work beyond plain text
Closest matches on the register — ranked by the build parts they share with DeepL, not just by category.
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