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Add English, German, French, Arabic or other languages to an existing website without rebuilding it. We can implement a manual key-based language layer, Google Cloud Translation API, or a hybrid workflow where machine translation is reviewed and edited in the admin panel.
Translations can be stored in the database/cache instead of calling the API on every page view. Brand names and technical terms can be protected with glossary or exclusion rules.
Key system, Google API, glossary and localized URL architecture
A real SEO-ready multilingual site can manage content, URLs, slugs, titles, descriptions, menus, categories, products, blog posts and structured data per language. Machine translation can bootstrap content while human review protects critical sales copy.
The language layer is integrated into the existing content and routing architecture.
Manual, automatic or hybrid workflows can be selected based on content volume and quality requirements.
Editors control UI strings and critical content.
New content is translated once and persisted.
API creates a draft, editor corrects and approves.
Repeated UI strings such as Add to Cart or Free Shipping can be referenced through stable keys rather than hard-coded text.
An admin interface can manage values per language without editing templates.
Dynamic product/blog content is usually better stored in translation tables linked to record and field.
Stock, price and SKU can stay in one master record while name, description, SEO and slug vary by language.
A generic translations table or entity-specific translation tables can both work.
The right model depends on the existing schema and query patterns.
New content can trigger background translation jobs for target languages.
Do not call the API on every page view; persist the result and reuse it.
Cloud Translation Advanced provides glossary and batch capabilities among other features.
Machine translation creates the first version; an editor can correct and approve it.
A source hash can detect when the original changes and mark the translation as stale.
Approved manual text should not be overwritten unless explicitly refreshed.
Glossaries can keep brand and technical terminology consistent.
SKU, model numbers and placeholders can be excluded from translation.
This is especially useful for large technical catalogs.
Google recommends separate URLs for language versions of a page.
Examples include /tr/urun/... /en/product/... /de/produkt/....
A language switcher should take users to the equivalent page, not always the homepage.
Each localized page can reference all equivalent versions with hreflang.
x-default can represent a language selector or default page.
Canonical should generally point to a canonical page in the same language when hreflang is used.
Browser language can be used as a suggestion, but forced geo-IP redirects can prevent crawlers from seeing alternate versions.
Remember user choice with cookie/session.
Country and language are not the same preference.
Large catalogs should use queues or batch work rather than one large request.
Hashing source content prevents unchanged records from being translated again.
Retry and quota handling belong in the background worker.
Cloud Translation pricing varies by model and character usage.
Persist translations, translate only changed fields and avoid repeated page-view requests.
Usage metrics can be displayed in the admin panel.
A supplier XML import can create the Turkish master record and enqueue EN/DE translation jobs.
SKU, barcode and brand are preserved while name and description are translated.
Only fields whose source hash changes need to be refreshed.
Arabic, Persian and Hebrew need direction-aware layouts, not just translated text.
Use dir=rtl and test navigation, forms and component alignment.
Images containing text may also need localized versions.
Missing translations can fall back to the source language instead of causing blank labels.
Admin reporting can list incomplete translations and completion percentages.
Fallback should be temporary for SEO-critical landing pages.
Send the website, current platform, target languages and approximate number of pages/products.
We can determine whether manual keys, API automation or a hybrid model is more appropriate before requesting access.
If source inspection is needed, required access is explained separately.
Examples illustrate architecture; database and routing are adapted to the existing application.
Turkey (Turkish)
Germany (German)
Worldwide (English)
echo $dil['add_to_cart'];language | table_name | record_id | field | value
tr | products | 52 | name | EKA Sunucu Paketi
en | products | 52 | name | EKA Server Package
de | products | 52 | name | EKA Serverpaket<link rel="alternate" hreflang="tr" href="https://site.com/tr/urun/eka-sunucu">
<link rel="alternate" hreflang="en" href="https://site.com/en/product/eka-server">
<link rel="alternate" hreflang="de" href="https://site.com/de/produkt/eka-server">
<link rel="alternate" hreflang="x-default" href="https://site.com/">Eka Sunucu = Eka Sunucu
VPS = VPS
VDS = VDS
NVMe = NVMe
Sanal Sunucu = Virtual Server
Ekran Kartlı Sunucu = GPU ServerSend the website, target languages and approximate content volume. We can choose between manual, Google Translation API and hybrid workflows before requesting access.
We prioritize Google Cloud and Google Search Central for Translation API and multilingual SEO guidance.
Multilingual architecture can work together with XML imports, automatic FX and technical SEO.
Answers to common key/API/SEO questions.
Yes, when the source and data architecture can be extended.
No.
Yes.
No; store translations and reuse them.
Yes, approved records can be excluded from automatic overwrite.
Yes, with glossary and exclusion rules.
Yes, through controlled queue/batch processing.
Pricing depends on the Google Cloud model and usage.
Generally yes for SEO-focused multilingual sites.
Yes, it helps Google understand equivalent localized pages.
No; canonical should generally be in the same language when possible.
Yes, with RTL layout work.
Yes.
No.
Website, platform, target languages and approximate content volume.
Send the website, target languages and approximate content volume. We can choose between manual, Google Translation API and hybrid workflows before requesting access.