Smartcat

Smartcat Beside Related Tools

Translation, dubbing, and captioning are different problems that get grouped together.

Smartcat Languages, Agents And Integrations

Translation Memory Is The Unglamorous Core

The feature that matters most is the one nobody markets. Translation memory stores every segment you have translated before, so the same sentence is never translated twice and never translated differently.

For a company with a product, that consistency is the whole game. A term rendered three ways across a manual, a website, and a support article is not three translations — it is a support problem and, in regulated sectors, a compliance one.

Glossaries sit alongside it, pinning the terms you insist on. AI translation without either produces fluent output that drifts, which is worse than obviously wrong output because nobody catches it.

Machine translation is free. Translating the same term the same way for five years is what you actually pay for.

The Agent Layer

Smartcat exposes several named agents, which map to stages of a localisation workflow rather than to one general capability.

• AI Translation and AI Content Translator — the machine first pass
• AI Linguist — review and refinement of that output
• AI Content Writer — source content creation, not just translation
• AI Content Maintainer — keeping translated content current as the source changes
• AI Auditor — checking quality and consistency across a body of content
• AI Chief of Staff — coordination across the workflow

Why The Maintainer Matters Most

Of that list, Content Maintainer addresses the problem that quietly ruins most localisation programmes.

Translating a website once is a project with an end. Keeping twelve language versions current as the English source changes weekly is an unbounded commitment, and it is where localisation efforts usually decay into stale pages nobody has audited in two years.

Automating the detection of what has drifted out of date is more valuable than making the initial translation faster, because the initial translation was never the expensive part.

The Human Marketplace, And When To Use It

Smartcat states a marketplace of more than 500,000 language professionals, reachable inside the same platform that produced the AI draft.

That integration is the point. The usual pattern — machine translate, export, email an agency, wait, reimport — loses the translation memory, the glossary, and the version history at every handoff.

The judgement about when to involve a person is straightforward, and worth setting as policy rather than deciding case by case.

1. Internal documentation and low-stakes content: AI output, spot-checked.
2. Customer-facing marketing: AI first pass, human review before publishing.
3. Legal, medical, safety, and regulatory content: human translation, always.
4. Anything where a mistranslation creates liability: human, with a second reviewer.
5. Brand-defining copy: human, because tone does not survive machine translation.
6. High-volume, low-risk content: AI, with periodic audits rather than per-item review.

Integrations Decide Whether It Gets Used

The integration list is unusually broad — Figma, Contentful, WordPress, Drupal, Akeneo, Salsify, Git, Bitbucket, Jira, Salesforce, Slack, Google Docs, Drive, Sheets, Gmail, Dropbox.

Figma is the one worth noticing. Catching localisation problems at the design stage, when German text is 30% longer than English and breaks the layout, is far cheaper than discovering it after the build.

Git and Bitbucket matter for product strings, where translation lives in a repository rather than a CMS. Together these determine whether translation happens where content is authored or in a separate system somebody has to remember to update.

Where AI Translation Still Fails

Fluency is not accuracy, and this is the trap. Modern machine translation produces confident, grammatical output that can quietly reverse a meaning — and a reviewer who does not speak the target language cannot tell.

Quality varies enormously across the 280-language range. Major European and Asian language pairs are excellent; low-resource languages are substantially weaker, and the platform does not visibly flag which is which.

Cultural adaptation is beyond it. Idiom, humour, and things that are merely tone-deaf rather than incorrect need a person from that market.

And the platform is a genuine system, not an app. Translation memory, glossaries, workflows, and integrations all need configuring, so value arrives after setup rather than on day one.

Does Smartcat Match Your Situation?

Right Choice When

• You publish content in many languages and it changes regularly
• Terminology consistency across documents actually matters to you
• Some content needs a human translator and some genuinely does not
• Translation should happen inside Figma, your CMS, or your repository
• You need SOC II compliance from a localisation vendor

Wrong Choice When

• You need to translate one document once
• Your content is entirely legal, medical, or safety-critical — hire translators
• Your target languages are low-resource and quality is unproven
• Nobody will configure translation memory, glossaries, or workflows
• Your localisation need is audio or video rather than text

Adjacent Localisation Tools

Text is only one of the things that needs translating.

• Lokalise — focused specifically on software UI string localisation
• ElevenLabs — dubbing and translated speech rather than text
• Zeemo — caption translation for social video
• Claude — adequate for a one-off document, with no memory or workflow behind it

How This Was Sourced

Last checked 7 September 2026. Read from smartcat.com during this check, with the screenshot above captured at the same time.

• Agent names, CAT tooling, and the 280+ language figure taken from Smartcat's own pages
• The 500,000+ linguist marketplace figure reported as Smartcat states it, not independently verified
• Integration list as published by Smartcat
• Named customers recorded as Smartcat presents them
• Company attributed to Smartcat Platform Inc., Wilmington, Delaware, per the site; SOC II compliance stated by the vendor
• No plan prices published here, in line with this site's pricing policy

Observations about machine translation fluency and low-resource language quality describe the technology generally, not Smartcat's implementation specifically.