AI app for customer support · no coding needed
Multilingual production and review portal
Reduce review cycles and terminology drift while keeping one approved multilingual record.
Made for: Support and content teams producing multilingual text, speech and localized documents
What it does for you
The problem
Translation, voice, terminology, review and publishing sit in separate tools, so multilingual output drifts and review is hard to trace.
What it gives you
Reviewer-approved multilingual outputs linked to source segments
What you give it
Licensed source textspeechdocumentsterminology listsbrand rules
Build your own version of LangLime, Anytalk and more
One app with what these 10 AI tools do, yours to keep and change: LangLime, Anytalk, DeepL Translate, Machine Translation, SagaLabs AI, Byrdhouse AI 2.0, Ollang DX, Langfinity AI, Nitro 4.0, Sonix.
Everything these tools do, in one app
- Multilingual translation Translates text or speech between multiple languages.Found in LangLime, DeepL Translate, Machine Translation and 6 more
- Real-time voice translation Translates spoken conversations live with low latency.Found in Langfinity AI
- Document translation Translates entire documents while preserving formatting.Found in DeepL Translate, Ollang DX, Nitro 4.0
- Text-to-speech playback Converts written text into spoken audio for listening practice.Found in LangLime, Sonix
- Context-aware translation Uses context to produce more accurate and appropriate translations.Found in Ollang DX, SagaLabs AI, Langfinity AI and 1 more
- Terminology memory Maintains consistent translations of specific terms and jargon.Found in Ollang DX, Langfinity AI
- AI-powered editing Adjusts style and tone of translations to match intended audience.Found in DeepL Translate
- Automated responses Generates replies automatically based on conversation context.Found in Anytalk
- Sentiment analysis Detects the emotional tone of messages to tailor responses.Found in Anytalk
- Customizable templates Provides pre-made templates for different content types or industries.Found in Anytalk, Byrdhouse AI 2.0
- Analytics dashboard Tracks performance metrics of communication or translation activities.Found in Anytalk
- Community platform Allows users to share feedback, collaborate, and support each other.Found in SagaLabs AI
- Monetization opportunities Enables creators to earn income from their translated or voice content.Found in SagaLabs AI, Sonix
- Grammar and style suggestions Offers recommendations to improve writing quality.Found in Byrdhouse AI 2.0
- Unified API Provides a single interface to handle multiple file types and localization tasks.Found in Ollang DX
- SDK and integration tools Offers developer tools to embed translation into existing workflows.Found in Ollang DX, DeepL Translate
- Quality control validators Checks translations for consistency and format-specific issues.Found in Ollang DX
- Transcripts and summaries Automatically generates written records and summaries of conversations.Found in Langfinity AI
- Human translation Uses professional human translators for high-quality results.Found in Nitro 4.0
- File format support Handles various file types like JSON, HTML, and Google Docs for translation.Found in Nitro 4.0, Ollang DX
How it works, step by step
- Translate text and speech between languages
- Translate spoken conversations live with low latency
- Translate whole documents while preserving formatting
- Convert written text into spoken audio
- Use context to produce accurate translations
- Maintain consistent terms and jargon
- Adjust style and tone for the audience
- Generate replies from conversation context
- Detect emotional tone of messages
- Provide templates for content types and industries
- Track translation and communication metrics
- Share feedback and collaborate in a community space
- Enable creators to earn from translated or voice content
- Suggest grammar and style improvements
- Expose one API for multiple file types and localization tasks
- Offer SDK and integration tools for existing workflows
- Check translations for consistency and format issues
- Generate transcripts and summaries of conversations
- Route high-stakes content to professional human translators
- Handle JSON, HTML, Google Docs and other file types
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved multilingual output 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 production 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 production 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 Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 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 review cycles and terminology drift while keeping one approved multilingual record. For support and content teams producing multilingual text, speech and localized documents, convert licensed source text, speech, documents, terminology lists and brand rules into reviewer-approved multilingual outputs linked to source segments. The benefit is a testable hypothesis, measured through accepted translated segments per review hour and corrections after publication; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed source text, speech, documents, terminology lists and brand rules, then follow this sequence: 1. Translate text and speech between languages. 2. Translate spoken conversations live with low latency. 3. Translate whole documents while preserving formatting. 4. Convert written text into spoken audio. 5. Use context to produce accurate translations. 6. Maintain consistent terms and jargon. 7. Adjust style and tone for the audience. 8. Generate replies from conversation context. 9. Detect emotional tone of messages. 10. Provide templates for content types and industries. 11. Track translation and communication metrics. 12. Share feedback and collaborate in a community space. 13. Enable creators to earn from translated or voice content. 14. Suggest grammar and style improvements. 15. Expose one API for multiple file types and localization tasks. 16. Offer SDK and integration tools for existing workflows. 17. Check translations for consistency and format issues. 18. Generate transcripts and summaries of conversations. 19. Route high-stakes content to professional human translators. 20. Handle JSON, HTML, Google Docs and other file types. Resolve uncertain cases with qualified reviewers, approve reviewer-approved multilingual outputs linked to source segments, and measure accepted translated segments per review hour and corrections after publication against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate translations, voice output and summaries for the stated task modules. Use deterministic code for terminology matching, format validation, arithmetic and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed language pair and licensed terminology set; final meaning, legal and brand checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve meaning, source attribution, quotation accuracy and usage permissions. Named reviewers approve substantive changes and publication scope. One fixed language pair and licensed terminology set; final meaning, legal and brand checks remain human. 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 fixed language pair and licensed terminology set; final meaning, legal and brand checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: translate text and speech between languages; translate spoken conversations live with low latency. Support the remaining modules with operator review. 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
Customer-owned content systems, helpdesk and chat platforms, document stores and publishing destinations. Cloud asset storage, file import/export and audio playback. 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: Source intake and language setup, Editable translation and voice preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas with source and target side by side, and a right-hand panel for terminology, tone, constraints and comments. Let users compare versions and languages side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant segment or audio timecode. Make the task-specific outcome reviewer-approved multilingual outputs linked to source segments visible beside its evidence, review state and value baseline.
