AI app for it and development · no coding needed
Multilingual app content translation and review portal
Reduce fragmented localization work while keeping terminology and brand voice consistent.
Made for: Product and localization teams shipping app and software content in multiple languages
What it does for you
The problem
App and software content is translated across several disconnected tools, so terminology, brand voice and review state drift between locales and releases.
What it gives you
Reviewer-approved localized content linked to release builds
What you give it
App stringscode contextglossariestone profilesreview rules
Build your own version of LocIn AI, Lingo.dev v1 and more
One app with what these 5 AI tools do, yours to keep and change: LocIn AI, Lingo.dev v1, Xpolyglot, Prismy, Tolgee.
Everything these tools do, in one app
- Automated AI translation Translates app strings or content into multiple languages using AI.Found in LocIn AI, Lingo.dev v1, Xpolyglot and 1 more
- Glossary and terminology rules Enforces specific vocabulary and term mappings across translated strings.Found in LocIn AI, Lingo.dev v1
- Tone and brand voice Maintains a consistent style and brand voice across languages using tone profiles or voice rules.Found in LocIn AI, Lingo.dev v1, Prismy
- Developer integrations Embeds localization into development workflows through APIs, CLI tools, CI/CD, webhooks, or MCP.Found in LocIn AI, Lingo.dev v1, Tolgee
- CI validation Automatically checks for missing keys, broken file structures, placeholder mismatches, and untranslated content before deployment.Found in LocIn AI, Lingo.dev v1
- HTML tag preservation Keeps structural HTML tags intact during translation.Found in LocIn AI
- Review workflows Flags low-confidence translations and recommends manual review for human-in-the-loop quality control.Found in LocIn AI, Lingo.dev v1, Tolgee
- Translation length warnings Alerts when translations are dramatically longer or shorter than the source text.Found in LocIn AI
- Stateful localization engines Preserves glossary, brand voice, and instructions so each translation request retains prior context.Found in Lingo.dev v1
- Per-locale model chains Lets teams configure model ranking and fallbacks per locale without reworking glossaries.Found in Lingo.dev v1
- AI quality scoring Uses separate models to score translations on multiple dimensions for automated QA.Found in Lingo.dev v1
- Xcode project localization Integrates with Xcode projects to translate app content and manage localization.Found in Xpolyglot
- App Store metadata localization Translates App Store metadata to keep presentation consistent across regions.Found in Xpolyglot
- Native SwiftUI interface Provides a native SwiftUI interface for managing localization projects.Found in Xpolyglot
- Translation context from code Uses comments and key names in NSLocalizedString to improve translation accuracy.Found in Xpolyglot
- Writing templates Offers multiple templates for different content types.Found in Prismy
- Real-time grammar and style checking Checks grammar and style in real time as content is written.Found in Prismy
- Multi-LLM translation selection Uses multiple large language models specialized in different subjects and languages to pick the best translation.Found in Tolgee
- Collaborative AI agents Employs agent roles like Translator, Reviewer, and Editor to work together for better translation quality.Found in Tolgee
- Real-time monitoring dashboard Tracks AI agents’ actions throughout the localization workflow.Found in Tolgee
- Translation memory Automatically stores and reuses previously translated content.Found in Tolgee
How it works, step by step
- Translate app strings and content into multiple languages with AI
- Enforce glossary and terminology mappings across strings
- Apply tone and brand voice profiles per locale
- Embed localization through APIs, CLI tools, CI/CD, webhooks or MCP
- Validate missing keys, file structures, placeholders and untranslated content before deployment
- Preserve HTML tags during translation
- Flag low-confidence translations for manual review
- Warn when translations are much longer or shorter than source text
- Retain glossary, voice and instructions across requests
- Configure per-locale model ranking and fallbacks
- Score translations on multiple quality dimensions
- Localize Xcode project content and manage localization files
- Translate App Store metadata per region
- Provide a native SwiftUI interface for localization projects
- Use code comments and key names to improve translation accuracy
- Offer writing templates for different content types
- Check grammar and style in real time
- Select among multiple LLMs per subject and language
- Run collaborative Translator, Reviewer and Editor agents
- Monitor agent actions in a real-time dashboard
- Store and reuse previously translated content in translation memory
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before release
- Export versioned reviewer-approved localized content linked to release builds with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Multilingual app content translation and review portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Multilingual app content translation and review portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce fragmented localization work while keeping terminology and brand voice consistent. For product and localization teams shipping app and software content in multiple languages, convert app strings, code context, glossaries, tone profiles and review rules into reviewer-approved localized content linked to release builds. The benefit is a testable hypothesis, measured through accepted localized strings per localization hour and post-release terminology corrections; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect app strings, code context, glossaries, tone profiles and review rules, then follow this sequence: 1. Translate app strings and content into multiple languages with AI. 2. Enforce glossary and terminology mappings across strings. 3. Apply tone and brand voice profiles per locale. 4. Embed localization through APIs, CLI tools, CI/CD, webhooks or MCP. 5. Validate missing keys, file structures, placeholders and untranslated content before deployment. Resolve uncertain cases with qualified reviewers, approve reviewer-approved localized content linked to release builds, and measure accepted localized strings per localization hour and post-release terminology corrections against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate translations for the stated task modules. Use deterministic code for key validation, placeholder checks, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final terminology and brand-voice decisions remain with the localization team. A model suggestion is never a verified fact, professional decision or authorization to release.
Safeguards
Preserve brand voice, source attribution, terminology accuracy and usage permissions. Localization teams approve substantive changes and release scope. One app codebase, a fixed set of target locales and one glossary; final terminology and brand-voice checks remain with the localization team. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One app codebase, a fixed set of target locales and one glossary; final terminology and brand-voice checks remain with the localization team. Implement one approved input format, a bounded representative case set and the first three task modules: translate app strings and content into multiple languages with AI; enforce glossary and terminology mappings across strings; apply tone and brand voice profiles per locale. Support the remaining modules with operator review: embed localization through APIs, CLI tools, CI/CD, webhooks or MCP; validate missing keys, file structures, placeholders and untranslated content before deployment. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
App code repositories, localization files, CI/CD pipelines and App Store metadata. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Project and locale setup, Editable translation workspace, Review and release. Use a locale list for projects, a large central string table with source and target columns, and a right-hand panel for glossary, tone, context and comments. Let users compare locales and versions side by side. Display draft, changes requested and approved states. Provide a release preview link with comments anchored to the relevant string. Make the task-specific outcome reviewer-approved localized content linked to release builds visible beside its evidence, review state and value baseline.
