Smartcat routes your content through multiple AI translation engines, applies your own glossary and translation memory on top, and sends anything that matters to a human reviewer — in 280+ languages and 80+ file formats.
1,000+ enterprise brands translate in Smartcat
I want to translate from
to
Time of Smartcat usage
3 months
Translation accuracy
95%Smartcat’s AI translation software chooses the best algorithm for your language pair, learns from your edits, and gets better the more you use it.
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Documents, video, audio, images, websites, software strings and courses all behave differently. Each one is handled by a purpose-built AI coworker — Content Translator, Media Translation, Image Translation, Software Localization, Learning Content — rather than a single generic engine.
Pick the content type you are dealing with.
Document Translation
Instantly translate documents across multiple formats using an AI agent for precision and speed.
Video Translation
Translate and localize video, with accurate subtitles and dubbing.
Audio Translation
Convert and translate audio files efficiently with our Media Translation Agent.
Image Translation
Quickly translate text within images while preserving the original layout and design.
Website Translation
Easily translate entire websites, maintaining SEO and user experience.
Software Localization
Localize software applications accurately with our Software Localization Agent.
Content Generator
Create high-quality, multilingual content with our Canvas Editor.
Course Creator
Design and localize courses quickly using the Learning Content Agent.
Smartcat's AI translator is a platform, not an engine.
It handles 80+ file formats, and every approved edit improves the next translation.
Multiple engines, chosen per project
Quality varies by language pair and content type, and the gap between two engines on the same text is often wider than the gap between two versions of the same engine. Smartcat routes across engines and models rather than locking you into one vendor's output, and switching is a setting, not a migration. See choosing an MT engine.
Your terminology is applied, not hoped for
Approved terms and past translations are stored centrally and applied to every job automatically, so the product name, the tagline and the legal line come out identically across teams and tools. A QA rule flags any segment where the approved term was not used. More in Intelligence Fabric.
The coworkers that do the work, and where you stay in control
The Content Translator Coworker produces the translation. The Reviewer Coworker checks it. The Content Update Coworker re-runs content that changed rather than the whole file. You choose, per content type, whether a human sees it before it ships.
280+
languages
available the moment you sign up
80+
file formats
supported, from DOCX and PDF to SRT, SCORM and XLIFF
30+
integrations
with your existing platforms
500k+
reviewers
providing high-quality translation services
Machine translation uses AI to convert text from one language to another automatically. Smartcat pairs neural machine translation with adaptive AI agents, your translation memories, and your glossaries — so every edit your team makes trains the engine, and output quality keeps improving with use.
Translate instantly, at any scale
Machine-translate a one-page PDF or a 100,000-string localization project the same way: upload, pick your language pair, download. No engine setup, no per-engine contracts.
Raise quality with adaptive AI
Generic machine translation ignores your voice. Smartcat's AI agents apply your translation memories, glossaries, and past edits, so terminology and brand style hold across every language.
Add human review where it matters
Raw machine translation is rarely publish-ready for high-visibility content. Built-in machine translation post-editing (MTPE) lets you invite reviewers — your team or 500,000+ vetted linguists from the Smartcat Marketplace — directly in the editor.
70%
Lower Translation Costs
Stanley Black & Decker reduced translation costs by up to 70% — from $200–$300 to $1.20 per 1,000 words — while cutting turnaround time and keeping quality consistent.
Read Case Study
Stanley Black & Decker
17%
Lower Translation Expenses
Smartcat’s AI translation technology, Smartwords, enables us to easily reuse previously translated content and has reduced our translation expenses by 17%.
Read Case Study
Peggy Liao
Language Access Program and Policy Specialist, City of Seattle
for ease of setup, on G2
for ease of use, on G2
company
compliant organization
Pick your languages, run a file you actually work with, and compare the export against the original. 15 days, 15,000 Smartwords, no credit card.
Let your internal clients handle ad hoc translations without your assistance.
Translate global content and designs into 280+ languages in minutes.
Make learning assets available to employees in their own language.
Develop and translate your application in parallel, in multiple branches.
Upload a file, pick your languages, and see what comes back — with your terminology applied, from whichever engine handles your language pair best. Free for 15 days with 15,000 Smartwords and full access to translation capabilities, no credit card.
Leverage your existing content library— eLearning courses, blog posts, web pages, product, and support information— to train your AI agents on your preferred terminology and style.
They read your glossaries and translation memories on every job, and every edit your reviewers confirm is written back — so the next file starts from a decision your team already made.
You set, per content type, whether a human sees the output before it ships. Reviewers can be your own team or vetted linguists from the Smartcat Marketplace, working in the same editor.
Smartcat’s AI coworkers automate translation across formats, and they draw on the content library you already have — eLearning courses, marketing content, product information.
The result is new multilingual, on-brand content in minutes, while ensuring consistency and quality.
DeepL and Google Translate are each one engine. Smartcat is a platform that routes across multiple engines and large language models, so you can choose the engine per project instead of accepting one vendor's output for every language pair.
DeepL and Google Translate are trademarks of their respective owners. Smartcat is not affiliated with, endorsed by, or sponsored by either of them.
Plans start at $1,200/year (Adapt) and scale through Accelerate and the enterprise tiers. Translation is metered in Smartwords — usage credits based on word count — and text already in your translation memory is not charged again, so a page you re-publish with two edited sentences costs two sentences. Full detail on the pricing page and in Understanding Smartwords.
Smartcat can translate your content into more than 280 languages. You can always check out our latest list of supported languages.
For 15 days here, yes — 15,000 Smartwords with full access to translation capabilities, no credit card required. After that it is a paid plan starting at $1,200/year.
There is no permanently free tier, and the free text-box tools are genuinely free and genuinely better for a single paragraph. What you pay for is terminology that holds across teams, memory that stops you paying twice, and a review step.
If you want to understand one paragraph in a language you do not read, this is the wrong tool — open a free text-box translator, it will be faster and the answer will be just as good.
Smartcat earns its keep when translation is a repeated process rather than a one-off: many files, many languages, terminology that has to stay consistent, and someone accountable for whether the output is publishable. Below that threshold it is overhead.
Smartcat is SOC 2 Type II compliant. Content is encrypted in transit and at rest, workspaces are isolated, and access is per user with role-based rights — see User Roles & Access Rights. SSO through Azure AD, Okta and ADFS is available on higher tiers.
Machine translation is the automated conversion of text between languages — today almost always neural machine translation (NMT). AI translation is broader: it adds large language models and AI coworkers that understand context, apply your terminology, and learn from your corrections. Smartcat combines both in one workflow — machine translation for speed, adaptive AI coworkers for quality that improves over time.
Yes. Every machine-translated project can go through post-editing in the Smartcat Editor: your reviewers see source and target side by side, and their edits feed back into your translation memories so the same correction never has to be made twice. If you don’t have in-house reviewers for a language, you can hire vetted post-editors from the Smartcat Marketplace without leaving the platform.
It depends on the language pair, the content type, and how much of your own data the engine can draw on — so a single headline number would be misleading.
Out of the box, quality is strongest on high-resource languages and factual content. It improves as your translation memory and glossary accumulate, and human post-editing closes the gap on content where an error is expensive.
Question not answered here? Book a demo — a 1:1 consultation with a Smartcat specialist, no commitment, no form queue.