
Multilingual site translation and review portal
Reduce manual string collection and post-launch translation fixes while keeping locale quality under team control.
- For
- Web and product teams running multilingual websites and apps
- Solves
- Site and app content must be translated into many languages, but strings are scattered across code and CMS, dynamic content stays untranslated, and review happens outside the build.
- Delivers
- Approved per-locale translations applied to the live site
- Built in
- about 6 weeks of creation time, MVP in 7 days
- Investment
- $12,500 for the MVP, $42,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce manual string collection and post-launch translation fixes while keeping locale quality under team control.
- Extract text strings from site or app code.
- Generate context-aware translations per locale.
- Support a broad set of target languages.
- Let reviewers edit and refine translations.
- Connect to the CMS so translations apply in existing workflows.
- Translate dynamic content added after initial load.
- Preserve links, images and CMS variables across locales.
- Customize text, images and design per locale.
- Manage translations in an organized table view.
- Edit localized content on a visual canvas.
- Integrate directly into React projects.
- Export translations as JSON.
- Serve cached translations for fast page loads.
- Keep setup to a few steps.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before publishing.
Everything these tools do, in one app
- Automated text extraction Finds and collects all text strings from a website or app code so they can be translated without manual curation.Found in weploy.ai, TacoTranslate
- AI-powered translation Uses AI to generate translations that are accurate, natural-sounding, and context-aware.Found in weploy.ai, AI-Powered Localization, TacoTranslate
- Broad language support Supports translating content into a wide variety of languages for global audiences.Found in AI-Powered Localization, TacoTranslate
- Manual translation editing Lets users manually adjust or refine translations to meet quality standards.Found in weploy.ai, TacoTranslate
- CMS integration Connects with content management systems so translations can be applied within existing website workflows.Found in weploy.ai, AI-Powered Localization
- Dynamic content translation Translates new elements added to the page after the initial load, keeping dynamic content localized.Found in weploy.ai
- Preserves links and media Keeps links, images, and CMS variables consistent across translated versions.Found in AI-Powered Localization
- Per-locale customization Allows customizing text, images, and design for each language or region.Found in AI-Powered Localization
- Localization table Provides an organized table view for managing and editing translations.Found in AI-Powered Localization
- Visual canvas editing Enables adjusting localized content directly within the website design canvas.Found in AI-Powered Localization
- React project integration Integrates directly into existing React applications for localization.Found in TacoTranslate
- JSON export Exports translations in JSON format for flexibility and use in other systems.Found in weploy.ai
- Fast performance Delivers fast loading times, with an 80% reduction using Redis caching.Found in weploy.ai
- Easy setup Requires just a couple of steps to get started with translation.Found in weploy.ai
What goes in, what comes out
- Site code
- CMS content
- Locale rules
- Reviewer corrections
AI drafts, people review. Multilingual production and review portal.
- Approved per-locale translations applied to the live site
How it works
The workflow
- InStart with
Site code, CMS content, locale rules and reviewer corrections
- 1
Confirm the buyer's problem and scope
- 2
Collect site code
- 3
CMS content
- 4
Locale rules and reviewer corrections
- 5
Then follow this sequence: 1
- OutFinish with
Approved per-locale translations applied to the live site
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for string extraction, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supported site framework and CMS pair; final locale wording and brand checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Source and locale setup, Translation table and canvas, Client review and publish. Use a project list for sites and locales, a central table for strings with a side-by-side visual canvas, and a right-hand panel for context, glossary and comments. Let users compare source and locale versions side by side. Display draft, changes requested and approved states per locale. Provide a client preview link with comments anchored to the relevant string or page element. Make the task-specific outcome approved per-locale translations applied to the live site visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, string versions, reviewer comments, approval states per locale, language allowances, release limits, publish history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Customer-owned site code, CMS content and permitted locale sources. Cloud asset storage, CMS 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.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
7 daysOne buyer segment, one recurring use case; first modules: extract text strings from site or app code; generate context-aware translations per locale. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will web and product teams running multilingual websites and apps use it to solve "site and app content must be translated into many languages, but strings are scattered across code and CMS, dynamic content stays untranslated, and review happens outside the build"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Approved locale strings per release and post-launch translation corrections.
- Measure, then decide. Track approved locale strings per release and post-launch translation corrections; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One supported site framework and CMS pair; final locale wording and brand checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: extract text strings from site or app code; generate context-aware translations per locale. Support the third module with operator review: let reviewers edit and refine translations. 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.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around approved per-locale translations applied to the live site. Retain the explicit scope boundary: One supported site framework and CMS pair; final locale wording and brand checks remain editorial.
What the build depends on. String upload and preview, asynchronous translation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist locale QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One supported site framework and CMS pair; final locale wording and brand checks remain editorial.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: extract text strings from site or app code; generate context-aware translations per locale. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$42,500about 6 weeks of creation time · start with the MVP from $12,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $40–$80 | $100–$200 | $140–$280 |
| Full productabout 50 customers | $160–$320 | $1,230–$2,450 | $1,390–$2,770 |
Run it or resell it
For your own team
Web and product teams running multilingual websites and apps run it inside the business: site code, CMS content, locale rules and reviewer corrections in, approved per-locale translations applied to the live site out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#276e91 - accent
#c96e54 - surface
#e4edf1 - ink
#22201e
- Headings
- Space Grotesk
- Text
- Inter
- Voice
- Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined site and locale set. Offer a monthly production allowance after repeat demand. Quote complex multi-site or specialist locale work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded approved per-locale translations applied to the live site. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce manual string collection and post-launch translation fixes while keeping locale quality under team control. Demonstrate a concrete approved per-locale translations applied to the live site using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Web and product teams running multilingual websites and apps professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample approved per-locale translations applied to the live site from a small authorized input set, with a transparent calculation of approved locale strings per release and post-launch translation corrections and no promised savings.
The first 30 days
- Week 1: interview five web and product teams running multilingual websites and apps and inspect a recent example of site and app content must be translated into many languages, but strings are scattered across code and CMS, dynamic content stays untranslated, and review happens outside the build.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure approved locale strings per release and post-launch translation corrections, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Approved locale strings per release and post-launch translation corrections. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Approved locale strings per release and post-launch translation corrections; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs approved per-locale translations applied to the live site. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved glossaries, locale rules and review examples, together with reliable delivery for a narrow web niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for web and product teams running multilingual websites and apps. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
weploy.ai, AI-Powered Localization, TacoTranslate, translation agencies and manual spreadsheet workflows. Compare this product with the buyer's present method on approved locale strings per release and post-launch translation corrections. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Translation attempts, model processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of approved per-locale translations applied to the live site. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve brand voice, source attribution, terminology accuracy and usage permissions. Locale owners approve substantive changes and publication scope. One supported site framework and CMS pair; final locale wording and brand checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.