Case study
Game localization across 100+ titles and 7 languages.
A games localization program needed more than 100 titles localized across 7 languages without breaking in-game layouts, where translated text rarely matches the source length.
100+ - 7 - 70,000 words
100+
Titles
7
Languages
70,000 words
Volume
Measured outcomes
Game localization at title scale
Project overview
What landed, and what made it hard.
A games localization program needed more than 100 titles localized across 7 languages, delivered through top-100 LSP partners.
Delivery snapshot
Game localization at title scale
- Client
- confidential game publishers (via top-100 LSP partners)
- Service
- Game localization
- Languages
- 7 languages
- Volume
- 70,000 words across 100+ titles
Why this mattered
Outcome before process.
Game text lives inside fixed UI: buttons, menus, and dialogue boxes that break when translated strings run longer or shorter than the source.
The problem to solve
Why the work was difficult, and what MoniSa changed in-flight.
Each language expands or contracts text differently, so a menu label that fits in English can overflow in one language and look empty in another.
The challenge
The problem to solve
Across 100+ titles and 7 languages, keeping every string inside its in-game space required per-title attention, not a single global rule.
Operating response
What MoniSa changed
MoniSa localized each title with its in-game constraints in view, adjusting length and phrasing so translated text held its place in the interface.
- Length-aware translation Linguists wrote to the space a string had, while preserving source meaning.
- Per-title handling Each title was treated on its own terms instead of forcing one rule across the catalogue.
- Tone for play Dialogue and UI kept a natural game voice in each language rather than reading as literal translation.
Results
Measured outcomes from this engagement.
More than 100 titles were localized across 7 languages, with in-game text expansion and contraction managed per title.
| Titles | 100+ |
|---|---|
| Languages | 7 |
| Volume | 70,000 words |
| Quality | Independently reviewed |
| Focus | In-game text fit and player voice |
Selection logic
What protected the result.
The selection came down to whether MoniSa could source and review the work at standard, and whether that would hold across the full run.
Why the fit was real
Why the fit was real
Game localization rewards UI-aware linguists who write to the space, beyond translators who render meaning.
What decided the result
What decided the result
Per-title length management is what kept menus, buttons, and dialogue intact across 7 languages.
What buyers can reuse
What buyers can reuse
- Game localization succeeds or fails on whether translated text fits the interface it lives in.
- Per-title length management beat a single global rule across a 100+ title catalogue.
- The evidence keeps clients confidential and attributes the metrics only to this engagement.
Continue from this proof
Useful comparisons for the same problem.
Use these links to compare the case with the matching service, buyer guide, and language coverage.
Mapped context
Service and buyer context
Languages named
Examples referenced in the engagement.
- Brazilian Portuguese
- Japanese
- Korean
- South Asian languages
More proof
Related proof
Compare this case with Streaming localization across rare languages and Six years of app localization to judge whether the operating pattern fits your brief.
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Nearest proof pattern.
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Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
What was delivered on this engagement?
Titles: 100+. Languages: 7. Volume: 70,000 words
What control kept the work stable?
Per-title length management is what kept menus, buttons, and dialogue intact across 7 languages.
Where should similar work go next?
Use Localization services for the delivery model, Media localization buyer guide for buyer-side evaluation, and the contact page for a scoped brief.
Similar brief
Send the constraint behind the metric.
A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.
Production-ready brief
01Closest matching challenge from this case02Language pair, dialect, and script coverage03Volume, cadence, or hours to deliver04Reviewer model and acceptance criteria05Security or platform constraints06Proof needed for stakeholder approvalCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.