Localisation · Free calculator

AI Translation Cost Calculator

Price machine translation plus human post-editing per word, per language, and per month, against a pure human translation baseline.

Short answer

AI Translation Cost Calculator

$23,400Net monthly savings

Effective cost per item drops from $0.11 to $0.05 — $280,800 a year.

How it's calculated: 220,000 of 400,000 items handled without a human touch Adjust the inputs below to recalculate for your own numbers.

New here? Watch it work in 2 seconds — then tweak it for you.
400,000
55%
$0.11
$800
Try it like this

Tap a scenario to load realistic numbers, then tweak the sliders.

Formula used

Deflection savings formula

Machine translation rarely removes humans; it moves them from translating to post-editing, which is cheaper per word but not free. The calculator applies this formula to your own numbers so the answer reflects your volumes rather than a vendor's example.

Net savings = (volume × deflection rate × cost per item) − tool cost
Model
Deflection savings model
Planning benchmark
Post-editing typically cuts translation cost 40–60% versus human-only
Updated
2026
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<script async src="https://www.revenuelab.fyi/embed.js"
  data-calculator="ai-translation-cost-calculator"
  data-title="AI Translation Cost Calculator"
  data-query="volume=400000&deflectRate=55&costPerItem=0.11&toolCost=800"></script>

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RevenueLab. (2026). AI Translation Cost Calculator. Retrieved from https://www.revenuelab.fyi/ai-translation-cost-calculator
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<p>Source: <a href="https://www.revenuelab.fyi/ai-translation-cost-calculator" target="_blank" rel="noopener">AI Translation Cost Calculator — RevenueLab</a> (2026).</p>
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Source: [AI Translation Cost Calculator — RevenueLab](https://www.revenuelab.fyi/ai-translation-cost-calculator) (2026).

Why the ai translation cost calculator matters

Machine translation rarely removes humans; it moves them from translating to post-editing, which is cheaper per word but not free. This page turns that decision into a handful of inputs you can defend in a budget review: volume, unit cost, rate of adoption, and time. The output is a planning baseline, not a promise — it tells you whether the idea deserves a vendor quote, a pilot, or a pass.

  • Biggest swing factor: the share that passes without editing
  • Second-order factor: human cost per word
  • Often ignored: language pair, which changes both figures dramatically

What actually changes the answer

the share that passes without editing moves this number first, then human cost per word. Run a conservative case and an upside case before you commit. If the maths only works in the upside case, treat it as a time-boxed test with a kill date rather than a line in next year's plan.

What to do with the result

Run the model per language pair rather than as a blended average — the economics for a major European pair and a low-resource pair are not comparable.

FAQ

What does the ai translation cost calculator work out?

It applies Net savings = (volume × deflection rate × cost per item) − tool cost to the values you enter for words translated per month, share needing no human edit, human cost per word, mt platform per month. Machine translation rarely removes humans; it moves them from translating to post-editing, which is cheaper per word but not free.

How accurate is this ai translation cost calculator?

Exact for the words you enter. The no-edit share is the estimate; measure it on 5,000 words per language before rolling out. Replace the defaults with your own invoice, usage export, payroll data, statement, or vendor quote before making a commitment — the maths is exact, so the answer is only as good as the inputs you feed it.

Which input should I stress-test first?

the share that passes without editing. Re-run with a pessimistic value for it; if the decision flips, that assumption is the thing you need real data on before signing anything. After that, check human cost per word and language pair, which changes both figures dramatically.

Which scenario should I start from?

Start with the preset closest to your situation — lean case, expected case, scaled case — then edit the sliders. Presets are realistic starting points, not benchmarks to match, and every change updates the result instantly.

What should I do after running the numbers?

Run the model per language pair rather than as a blended average — the economics for a major European pair and a low-resource pair are not comparable. A useful planning benchmark to compare against: Post-editing typically cuts translation cost 40–60% versus human-only.

Can I share or save this calculation?

Yes. Your inputs are written into the page URL, so copying the link shares the exact scenario you are looking at — the person who opens it sees the same numbers. You can also export the inputs and results to CSV or PDF from the result card and keep it with the rest of your workings.

How this calculator is built

Independently maintained

Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.

Sourced from primary data

Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.

Last editorial review

Reviewed on a rolling quarterly cycle. Dated reviews are published on the methodology record for each calculator.

Editorial standards

See our editorial policy and disclaimer. Results are estimates, not advice.

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