Automatic Translation vs. Machine Translation: What's the Difference?

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Machine translation is the engine: software that converts text from one language to another without a human translator. Automatic translation describes how the engine is used: text is sent, translated and delivered without anyone triggering each step. On a website, that means new content is detected, sent to a machine translation engine, published on the right language URL and kept up to date, all without manual work. Every automatic website translation uses machine translation, but machine translation alone does not give you a translated website.

Key takeaways

• Machine translation (MT) is the technology that produces the translated text. Today it is mostly neural and large-language-model based.
• Automatic translation is MT applied without manual steps. In a browser it gives one visitor a one-off view. On a website it is a publishing workflow.
• Browser auto-translate (Chrome, Safari, Edge) only changes what one visitor sees. It creates no pages search engines can index and gives you no control over quality.
• Automatic website translation creates real, indexable pages in each language, and should let you edit results, apply a glossary and add hreflang tags.
• You get the best results from automatic translation for speed plus human review of the pages that matter most.

The short version

What is machine translation?

Machine translation is the automated conversion of text from one language to another by software. The technology has gone through three broad generations:

1. Rule-based MT used dictionaries and hand-written grammar rules. Its output was predictable, but stiff, and the systems were expensive to extend.
2. Statistical MT learned from large collections of existing translations and picked the most probable phrase-by-phrase output. It read more fluently but often stumbled over long sentences.
3. Neural MT uses neural networks that read the whole sentence before generating a translation. It is far more fluent and is now the standard. Large language models (LLMs) can also translate, and are increasingly used alongside dedicated neural engines, particularly for tone and context.

Our guide to neural machine translation goes deeper, and how good machine translation really is covers quality.

MT does well with clear, factual sentences, product specifications and help content, and it handles high volume cheaply and instantly.

It still needs help with brand voice, idioms and wordplay, ambiguous short strings (a one-word button like “Save” or “Book”), consistent terminology across a site, and cultural adaptation.

What is automatic translation?

“Automatic translation” describes translation that happens without a person initiating or performing each step. You will meet it in three common forms:

1. Browser auto-translate

Chrome, Edge and Safari can offer to translate a page into the visitor’s language. It is free and handy for readers, but it does little for a site owner:

• Nothing is published. Search engines never see a translated version, so you get no traffic in other languages.
• You can’t correct mistakes, protect brand names or apply a glossary.
• The visitor has to notice and accept the prompt, and the result can change between visits.

2. Translation widgets that translate in the browser

Some free website widgets translate the page in the visitor’s browser after it loads. They add a language menu, but the translated text usually has no separate URL. GTranslate, for instance, says of its own free version that “translated pages do not have separate URLs, so they are not indexed” (gtranslate.io). Google’s own Website Translator widget has been limited to non-commercial use since 2020 (Google Search Central blog).

3. Automatic website translation

If you want to grow a business internationally, this is the form to look at. A website translation service or plugin:

1. Detects all visible content on your site, including text from themes, apps and plugins, and notices when it changes.
2. Translates it with machine translation.
3. Stores the translations, so they load fast and can be edited.
4. Publishes each language on its own URL (for example /es/ or es.example.com).
5. Adds hreflang tags and translated page titles and meta descriptions for SEO.
6. Lets you edit any translation and set rules for terms that must be translated a certain way.

The last point matters most. Without editing and term rules, automatic translation can publish mistakes under your brand name.

Why the distinction matters for SEO

Google’s guidance is clear on four points:

• Use different URLs for each language version instead of switching language with cookies or browser settings (Google Search Central).
• Google determines a page’s language from its visible content, not from code-level lang attributes.
• Tell Google about localized versions with hreflang. Each version must list itself and all others, or the annotations are ignored (Google Search Central).
• Google’s spam policies name pages generated through “automated transformations like… translating” that provide little value to users as an example of scaled content abuse (Google spam policies).

Browser translation and client-side widgets don’t give you indexable pages. Automatic website translation does. To stay within Google’s policies, those pages have to be useful, so review and improve the important ones instead of publishing raw output at scale and forgetting about it.

Pros and cons at a glance

Machine translation used by itself (copying text into a translator):

• Pros: free or cheap, fast for a few paragraphs.
• Cons: manual copy and paste, nothing stays in sync, no SEO structure, impossible at site scale.

Browser auto-translate:

• Pros: zero effort for the site owner.
• Cons: invisible to search engines, no quality control, depends on each visitor’s browser.

Automatic website translation:

• Pros: whole site translated quickly, stays in sync with new content, indexable language URLs, editable, scales to many languages.
• Cons: a subscription cost, and it still needs human review on important pages to reach publishable quality.

Human translation:

• Pros: best quality for brand and high-stakes content.
• Cons: slow and expensive at site scale, and needs a system to publish and maintain it. See human vs. machine translation.

A practical workflow that combines both

Most teams use automatic translation for coverage and people for quality:

1. Turn on automatic translation for the whole site, so every page exists in each target language.
2. Set up a glossary before reviewing, covering product names, brand terms and words that must never be translated.
3. Have a fluent speaker review high-value pages: home, pricing, top products or services, checkout and signup.
4. Fix recurring issues at the source. Shorten ambiguous buttons, remove idioms and move text out of images.
5. Check language URLs, hreflang, and translated titles and descriptions.
6. Keep it running. New content is translated automatically, and a periodic review of the top pages in each language catches drift.

How ConveyThis handles automatic translation

ConveyThis is an automatic website translation service. Once installed (a WordPress plugin, a Shopify app, or one script tag on any site), it:

• translates your site automatically with machine translation into any of 210 supported languages;
• detects new and changed content and translates it;
• serves each language on its own URL using subfolders, subdomains or a ?lang parameter, and adds hreflang tags automatically;
• translates page titles, meta descriptions and JSON-LD structured data;
• lets you edit any translation in a visual editor, apply glossary rules and reuse approved translations with translation memory;
• counts words only when translated content is actually shown to a visitor; bot traffic doesn’t count.

Read more about how ConveyThis approaches translation quality and multilingual SEO.

FAQ

Is automatic translation the same as machine translation?

No. Machine translation is the technology that translates text. Automatic translation is the use of that technology without manual steps. For websites, it means a workflow that detects, translates, publishes and updates content by itself.

What is automatic machine translation?

It is machine translation triggered automatically, for example when a website translation service detects new content and sends it to an MT engine without anyone copying text by hand.

Is Google Chrome’s translate feature enough for my website?

It helps individual readers. It does not create pages search engines can index, though, and you can’t correct or control the output.

Is automatic translation bad for SEO?

Not in itself. Problems come from publishing low-value, unreviewed pages at scale or from translations with no separate URLs. Give each language its own URL, use hreflang, and review important pages.

How accurate is machine translation today?

Neural and LLM-based translation is fluent for most everyday and business content. Accuracy drops for idioms, short ambiguous strings, specialist terminology without a glossary, and creative copy, which is why review still matters.

To try automatic website translation that you can edit, create a ConveyThis account.