Whether you are budgeting for your first localization project or scaling an existing one, the first question is always the same: how much does translation cost? The answer depends on many variables — but it does not have to be a black box.
We pulled pricing data from 3,200+ real projects delivered at Alconost between 2020 and 2026 and distilled it into the tables, comparisons, and scenarios below. The goal: give product managers, localization leads, and founders a realistic starting point for budgeting.
Translation Cost Per Word: What the Data Shows
The tables below show average translation rates per word for three service types — professional human translation, machine translation post-editing (MTPE, also known as AI post-editing or AIPE), and localization quality assurance (LQA) — across 20 commonly requested languages. LQA is billed hourly because review speed varies by content type and error density.
All figures are rough averages. Actual translation prices vary based on content type, volume, language pair complexity, turnaround requirements, and other factors discussed later in this article.
| Language | Internet users | Human | MTPE / AIPE | LQA |
|---|---|---|---|---|
| French | 310M | $0.10 | $0.08 | $43/hr |
| German | 100M | $0.11 | $0.09 | $48/hr |
| Italian | 58M | $0.08 | $0.07 | $43/hr |
| Spanish (EU) | 410M | $0.08 | $0.07 | $38/hr |
| Dutch | 27M | $0.11 | $0.09 | $48/hr |
| Japanese | 118M | $0.14 | $0.12 | $44/hr |
| Korean | 50M | $0.10 | $0.08 | $41/hr |
| Chinese (Simplified) | 1.1B | $0.10 | $0.08 | $41/hr |
| Portuguese (BR) | 190M | $0.08 | $0.06 | $35/hr |
| Russian | 116M | $0.07 | $0.06 | $31/hr |
| Turkish | 70M | $0.09 | $0.07 | $33/hr |
| Polish | 32M | $0.08 | $0.06 | $37/hr |
| Arabic | 237M | $0.09 | $0.08 | $41/hr |
| Swedish | 9M | $0.12 | $0.10 | $48/hr |
| Danish | 5M | $0.14 | $0.11 | $48/hr |
| Finnish | 5M | $0.14 | $0.12 | $48/hr |
| Thai | 61M | $0.09 | $0.07 | $32/hr |
| Vietnamese | 78M | $0.09 | $0.07 | $32/hr |
Per source word (LQA per hour). Rough averages — actual pricing depends on content, volume, and project specifics.
These translation rates reflect averages across content types. Marketing copy, legal text, and highly technical content typically cost more than general UI strings or help articles. Volume discounts, translation memory (TM) leverage, and ongoing partnerships can bring per-word costs down significantly.
What Affects Localization Pricing
A per-word rate is just the starting point. The total localization cost for your project depends on several factors that can push the price up or down:
Content type and complexity. A marketing landing page with brand-voice requirements costs more to translate than a help center article. Legal, medical, and financial content requires certified linguists, which adds to the rate. On the other hand, repetitive UI strings with clear context are faster and cheaper to process.
Volume and TM leverage. Larger projects benefit from volume discounts and higher translation memory matches. If 30% of your new strings match previously translated content, you only pay for the net new words — plus a discounted rate for fuzzy matches.
Language pair. As the tables above show, Nordic and CJK languages have higher rates than Romance or Slavic languages. This reflects the smaller pool of qualified linguists and higher cost of living in those regions.
Turnaround time. Standard delivery is the most cost-effective. Rush projects — anything under 48 hours for large volumes — typically carry a 20–50% surcharge because they require multiple linguists working in parallel.
CI/CD and continuous localization setup. If your product ships weekly or daily, setting up continuous localization — automated string extraction, translation management system (TMS) integration, and CI/CD pipeline hooks — adds upfront cost but reduces per-update costs over time.
File format complexity. Structured formats like JSON, XLIFF, and Android XML are straightforward. But if your content lives in InDesign files, embedded PDFs, or proprietary formats, file engineering adds to the cost.
Subject matter expertise. Gaming, fintech, legal tech, and medical devices require linguists with domain knowledge. This specialized talent commands higher rates, but it prevents costly errors in context-sensitive content.
The biggest surprise for most clients is how much turnaround time and file format affect the final price. The per-word rate is just one variable. A 50,000-word project with clean JSON files on a 3-week timeline can cost 30% less than the same word count in InDesign with a 5-day deadline — same language, same quality tier.
Human Translation vs. MTPE vs. LQA: When to Use What
Understanding the difference between translation and localization is the first step. The next is choosing the right service type for each content category. Here is how the three main services compare:
Many teams use a combined approach: human translation for customer-facing marketing, MTPE for internal docs and help content, and LQA as a final quality gate before each release. This lets you optimize localization pricing without compromising on the content that matters most.
Real-World Scenarios
Abstract per-word rates are useful for comparison, but what does translation cost look like for a real project? Below are three scenarios based on common project profiles we see at Alconost. All figures are rough estimates — your actual cost will vary based on the factors described above.
How to Reduce Localization Costs Without Cutting Quality
Spending less on localization does not have to mean getting worse results. Here are practical strategies that our most cost-efficient clients use:
Start with key languages, then expand. You do not need to launch in 20 languages on day one. Identify the 3–5 markets with the highest revenue potential, prove the ROI, and reinvest. Read more about structuring your localization process for phased rollouts.
Use MTPE for high-volume, low-creativity content. Help articles, knowledge base entries, changelogs, and structured product data are ideal candidates for MTPE. Reserve human translation for marketing, legal, and emotionally resonant content.
Set up continuous localization. One-off translation projects are more expensive per word than ongoing partnerships with TMS integration. Continuous localization automates string extraction and delivery, reduces project management overhead, and keeps translation memory fresh.
Maintain your translation memory. A well-maintained TM reduces costs over time as more segments get matched to previously translated content. Even fuzzy matches (75–99% similarity) are cheaper to process than new segments. Clean up your TM regularly — remove outdated entries, consolidate duplicates, and ensure consistent terminology.
Write source content for translation. Clear, concise, and consistent source text is cheaper to translate. Avoid idioms, ambiguous pronouns, and overly complex sentence structures. Style guides and terminology glossaries pay for themselves within the first few thousand words.
Consolidate vendors. Working with a single localization partner across all languages and content types gives you volume leverage, consistent TM, and lower coordination overhead compared to managing multiple freelancers or agencies.
