Software and App Localization in Newcastle upon Tyne

Software and app localization in Newcastle upon Tyne turns Tyneside SaaS platforms, mobile apps and Newcastle University spin-out products into globally shippable software across 150+ languages, priced from £30 per page under ISO 17100 controls. This service sits inside our wider Translation Services in Newcastle upon Tyne catalogue and wires directly into GitHub, GitLab and Crowdin CI/CD pipelines.

What content is included in software and app localization services?

Software and app localization services include 10 content types: UI strings, in-app help, error messages, push notifications, onboarding flows, App Store and Play Store listings, screenshots, marketing microcopy, legal notices, and release notes. Every content type requires a different localization approach — UI microcopy demands brevity and cultural resonance, legal strings demand precision and jurisdiction awareness, and App Store descriptions demand keyword optimisation for each regional store.

All 10 content types are handled within a single ISO 17100 certified workflow, with qualified native-speaker linguists assigned by domain and content risk level. Safety-critical error messages and legal notices are always translated and independently revised by human linguists; high-volume, lower-risk content such as release notes may use AI-assisted machine translation post-editing where the client approves that approach.

• UI strings across screens, menus, dialog boxes and status messages — the highest-visibility content in any app.
• In-app help and contextual tooltips — localised to match the terminology and UI labels of each target locale.
• Error messages and safety-critical warnings — always human-translated and independently revised; no AI-only processing.
• Push notifications and transactional templates — adapted for cultural tone and character limits on each platform.
• Onboarding flows and first-run tutorials — structured to guide new users from a standing start in their native language.
• App Store and Play Store titles, descriptions, keywords and promotional text — optimised for regional store search algorithms.
• Localised screenshots and preview videos — reflecting the localised UI so store listings are fully consistent.
• Marketing microcopy and CTAs — culturally adapted, not literally translated, to drive action in each market.
• Legal notices, terms of service and UK GDPR privacy strings — jurisdiction-aware and reviewed for regulatory compliance.
• Release notes for every version bump — keeping users informed in their own language at every update.

Is AI used in software and app localization, or is human expertise still required?

AI is used in software and app localization for pretranslation, terminology suggestion and machine translation post-editing (MTPE), but ISO 17100 still requires a qualified human linguist to translate or post-edit every segment, and a second qualified linguist to independently revise the output. AI cannot reliably judge UI context, cultural nuance, brand tone or the legal precision demanded by privacy strings and terms of service — making human expertise non-negotiable for the content types that define a product’s quality in a new market.

Translation memory pretranslation is distinct from AI generation: it replays segments that a human linguist already approved in a prior release, which is why it delivers 30–70% cost savings on iterative builds without any reduction in quality. AI machine translation engines are used selectively, on content types where the risk of a mistranslation is low and the volume is high.

Where does machine translation with AI post-editing (MTPE) fit?

Machine translation with AI post-editing fits high-volume, low-risk content such as internal help articles and repetitive release notes, where an AI engine produces a draft and a human linguist edits it to an ISO 17100 standard — cutting cost 30–50% while preserving the mandatory revision step. The decision to use MTPE is always made per content type and per language pair, based on engine performance data for that combination, never applied globally across a project.

Where do human linguists remain essential?

Human linguists remain essential for UI microcopy, safety-critical error messages, App Store descriptions, legal terms, push notification copy and any string where cultural nuance or brand voice determines product perception. AI translation engines misread polysemy — words that mean different things in different UI contexts — and consistently underperform on RTL typography, gender agreement in inflected languages, and the kind of compressed, action-oriented copy that drives conversions in app store listings. For these content types, human-first translation under ISO 17100 is the only workflow we offer.

How long does software and app localization take in Newcastle upon Tyne?

Software and app localization in Newcastle upon Tyne runs at the ISO 17100 throughput benchmark of 1,500–2,000 words per linguist per day, which is the industry-standard quality pace for human translation with independent revision. A 5,000-word app update takes 3–5 working days per language at standard turnaround, and same-day turnaround is available for rush jobs up to 10,000 words at a 25–50% surcharge — making it possible to localise a hotfix or urgent store listing update within a single business day.

Turnaround times scale predictably with word count, and parallelisation across multiple linguists compresses delivery for larger projects. Translation memory shortens effective turnaround on iterative releases because previously approved segments are pretranslated instantly, meaning only net-new strings enter the human translation queue.

How is turnaround compressed for agile sprint releases?

Turnaround is compressed for agile development by parallelising linguists across target languages, using translation memory to skip previously translated strings, and streaming new strings into the CI/CD pipeline via GitHub, GitLab or Crowdin webhooks the moment they merge to the main branch. Because the continuous localization integration queues new strings automatically, there is no manual handoff delay between the engineering team committing a string and a qualified linguist beginning work on it. For Newcastle product teams running two-week sprints, this means localised builds can be ready for QA at the same time as the English release candidate — not days or weeks later.

How do I choose a software and app localization company in Newcastle upon Tyne?

Choosing a software and app localization company in Newcastle upon Tyne rests on 6 criteria: ISO 17100 and ISO 27001 certification, CAT tool and CI/CD compatibility, native-speaker linguists with software domain experience, transparent GBP pricing, pseudolocalization QA capability, and verifiable Tyneside client references. ISO 9001 aligned project management underpins delivery.

• ISO 17100 for translation quality and linguist competence.
• ISO 27001 aligned information security for source code and strings.
• CAT tool support across Trados Studio, memoQ, Crowdin, Phrase, Lokalise, XTM and Smartling.
• Native-speaker linguists with ≥5 years software domain experience.
• Transparent GBP price list — no per-locale hidden fees.
• Documented Tyneside client references across SaaS, fintech and mobile app development.

Why does ISO 17100 certification matter for software localisation?

ISO 17100 certification matters because it mandates qualified linguist competence, independent bilingual revision, terminology management and project management controls — the same controls that stop a rogue string breaking a production app-store submission.

How is information security and ISO 27001 handled?

Information security follows ISO 27001 aligned controls: signed NDAs with every linguist, encrypted SFTP or CAT-tool cloud transfer, UK GDPR-compliant UK data processing, and role-based access to source code and string files. Quality and security are audited on every project.

Do you use translation memory and glossaries?

Yes — every Newcastle software project runs on a dedicated translation memory and termbase managed in Trados, memoQ or Crowdin, so brand vocabulary, product names and UI conventions stay consistent across every release and every linguist. Translation management is owned by a named project manager.

How do I start my software and app localization project in Newcastle upon Tyne?

Start a software and app localization project in Newcastle upon Tyne by sending your resource files or repo link, target languages and release deadline; receive a fixed GBP quote from £30 per page within 4 working hours and, on approval, first localised strings within 24 hours. Same-day turnaround is available for hotfix strings and App Store metadata refreshes across 150+ languages.