Executive Summary
Machine translation made translation cheap. The work that remains is deciding what needs a person, and making sure the rest sounds like you.
Localization adapts content for a market: translating words, and also handling formats, terminology, tone and regulations. Translation platforms now combine machine translation engines, large language models, translation memory, glossaries and human review in one workflow. The AI writing guide covers creating content; the content management guides cover publishing it. This guide covers making it work in other languages.
The buyers differ by what they translate. Product teams localize software strings with every release. Marketing teams translate websites and campaigns. Support teams translate tickets and help articles. Legal and regulated teams need certified human translation. The approaches in this guide reflect that: machine translation engines, enterprise localization platforms, end-to-end platforms with services, developer localization tools, website translation and language services companies.
Why Translation Is a Separate Purchase
Content and product systems can call translation APIs directly. The hard part is consistency: the same term translated the same way everywhere, the brand voice kept, sensitive content reviewed by a person, and costs controlled across teams. A localization platform holds the memory, terminology and rules that make machine output usable, and routes work to the right engine or person.
Engine choice is becoming a platform feature. Phrase says its platform selects from a broad range of engines and LLMs, or routes through the customer's own, applying the right model to each asset. Phrase says it unifies translation memories, terminology, style guides, quality data and multimodal assets.
Translation now covers speech as well as text. DeepL says DeepL Voice lets people converse across languages in real time.
API, Platform, or Service
Organizations can call a translation API from their own systems, buy a localization platform that manages workflow and quality, or buy translation as a service from a language services company. APIs are cheap and fast but leave terminology, review and workflow to you. Platforms add control. Services add people and accountability for quality.
API prices are published and low per character. Amazon Web Services lists Standard Text Translation at $15.00 per million characters. Google Cloud lists the first 500,000 characters per month of language detection and text translation using the NMT model as free, applied as a $10 credit every month. The cost of a platform or service comes from what it adds on top: memory, review, workflow and people.
| Model | What you get | What you take on |
|---|---|---|
| Translation API | Machine translation on demand | Terminology, review and workflow |
| Localization platform | Workflow, memory, glossaries and engines | Configuration and linguist management |
| Developer localization tool | Strings synced with code and releases | Content outside the product |
| Website translation | Translated sites with little engineering | Less control over complex content |
| Language services | Translators, reviewers and project managers | Service costs and turnaround times |
How do you evaluate AI Translation & Localization Platforms?
Evaluate these products on your own content in your target languages. The capabilities that decide results are translation quality, terminology and memory, engine choice, review workflow, integrations, visual context, quality measurement, and security.
Integrations decide whether content flows without copy and paste. Smartling says it connects to 50+ software platforms to automate content flow. Smartling describes CAT and transcreation tools with visual context. Crowdin says it is an AI-powered localization platform that automates translation with 700+ apps and integrations.
| Capability | What it does | Buyer translation |
|---|---|---|
| Machine translation quality | Accuracy in your language pairs | Test on your content, not samples. |
| Translation memory | Reuses approved translations | Cuts cost and keeps consistency. |
| Terminology | Enforces approved terms | Essential for brand and regulated terms. |
| Engine and LLM choice | Routes content to the best model | Ask which engines are supported. |
| Review workflow | Sends content to linguists | Ask how reviewers are chosen and paid. |
| Integrations | Connects CMS, code and support tools | Match to your systems. |
| Visual context | Shows translators where text appears | Reduces errors in UI and layouts. |
| Security | Protects confidential content | Ask whether content trains any model. |
Vendors in AI Translation & Localization Platforms
Representative vendors include DeepL, Lionbridge, Lokalise, Phrase, Smartling and Weglot. The list is alphabetical, is not a ranking, and is not for sale. How we choose vendors
The approaches below differ by what they translate and how much they provide. Several vendors offer engines, platforms and services together, so each approach describes where a product is strongest.
Language services companies now sell AI platforms too. Lionbridge says Lionbridge Aurora AI is an AI-first global content platform for multilingual content creation. Lionbridge describes direct language access integration with the Epic Electronic Health Record (EHR) system. Lilt describes autonomous agents helping hundreds of companies launch products faster and maintain brand and security compliance.
| Vendor | Approach | Where it fits |
|---|---|---|
| Lokalise | Developer localization | Product localization with usage-based pricing |
| Smartling | End-to-end localization | Localization technology and services |
| Phrase | Enterprise localization platforms | Engine orchestration with memory and terminology |
| Lionbridge | Language services | Language services with an AI content platform |
| DeepL | Machine translation engines | Text, document and voice translation |
| Weglot | Website translation | Website translation with AI and custom language models |
Approaches came first, and one vendor was chosen for each afterwards; a row here cannot be purchased. About twenty vendors sell translation engines, platforms or services. Vendors, named here or not, can present their own case in the Spotlight below.
How much should you budget for AI Translation & Localization Platforms?
Translation is priced by characters or words processed, seats, plans and human translation fees. Phrase says all its pricing plans come with a 14-day free trial of the Phrase Language Intelligence Platform. Weglot says customers can create a custom language model and use GenAI credits, with monthly GenAI credits equal to their translation word limit. Ask each vendor for the pricing unit, what counts against it, and how human review is priced.
The value shows up in faster launches in new markets, lower translation cost per word, and consistent terminology. Model it on your content volumes, languages and current spend with agencies.
| Meter | You are charged for | Grows with | Where it goes wrong |
|---|---|---|---|
| Characters or words | Content processed by machine or AI | Volume and languages | Retranslating unchanged content |
| Seats | Users of the platform | Team size | Paying for occasional reviewers |
| Plans | Feature and volume tiers | Needs | Features locked to higher tiers |
| Human translation | Words translated or reviewed by people | Risk level | Sending low-risk content to people |
| Integrations | Connectors and API usage | Systems connected | Connectors sold as add-ons |
How long does implementation take for AI Translation & Localization Platforms?
Translation programs depend on clean source content and approved terminology. Build those first, then automate.
List content types, languages and volumes. Build or import glossaries and translation memory.
Connect the first systems. Classify content by risk and set which classes need human review.
Run one content type in a few languages. Measure quality ratings, turnaround and cost per word.
Add content types and languages. Review engine choice and human review rules on measured quality.
What should you ask vendors about AI Translation & Localization Platforms?
Ask each vendor to answer on your content and languages.
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Is software localization the main need?Yes Shortlist developer localization tools.No Continue.
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Is the website the main need for a small team?Yes Shortlist website translation.No Continue.
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Do many teams translate many content types?Yes Shortlist enterprise and end-to-end localization platforms.No A machine translation engine or language services fits.