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AI Translation

Smartcat

A business translation-management platform that blends machine translation with a marketplace of 500,000+ professional linguists, aimed at companies that need translated content reviewed and managed at scale.

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What it does

Smartcat positions itself as a hybrid between a machine translation tool and a translation agency, combining fast AI-generated first drafts with access to a marketplace of more than 500,000 professional linguists who can review or fully translate content. This makes it a fit for businesses that need translated content to be genuinely reliable — not just fast — across marketing materials, product content, and multimedia like audio and video.

Beyond translation itself, Smartcat includes project management, payments, and collaboration tools for working with translators, plus a CAT editor supporting a wide range of file formats. In 2026 the company restructured its offering around “AI coworkers” and annual contract pricing, so buyers should check current plan details directly rather than relying on older per-word pricing figures still circulating online.

Ideal users

  • Businesses that need ongoing translation of marketing, product, or support content reviewed by professional linguists, not just machine-translated
  • Companies that want a single platform combining machine translation, translation memory, and access to freelance translators
  • Teams managing multi-language content projects with collaborators, deadlines, and approval workflows
  • Organizations expanding into new markets that need content created, translated, and localized together

Who should avoid it

  • You just need to translate occasional text or documents — a free tool like Google Translate or DeepL is a better fit
  • You're a small team with a tight budget — Smartcat's plans are priced for business use, not casual or individual use
  • You need software/app string localization tightly integrated into a developer pipeline — better served by Lokalise
  • You want the most fluent raw machine-translation output on its own — DeepL is more narrowly focused on translation quality

Key features

  • Hybrid machine translation plus marketplace access to 500,000+ professional linguists
  • CAT (computer-assisted translation) editor supporting 70+ file formats, including OCR for scanned documents
  • Translation memory, terminology management, and QA checks
  • AI Agents / 'coworkers' that can create, translate, and localize content across 280+ languages
  • Built-in project management, payments, and invoicing for working with translators
  • Multimedia localization: image translation, audio translation, AI voiceover, and video subtitles

Pros

  • Combines machine translation speed with human review quality in one platform
  • Large built-in marketplace of professional translators removes the need to source freelancers separately
  • Strong file-format and CAT tool compatibility (including SDL Trados packages) for professional localization teams
  • Multimedia translation features (audio, video, images) go beyond plain text

Cons

  • Priced for business use — plans start around $1,200/year, well above consumer or small-team translation tools
  • Smartcat restructured its product and pricing around 'AI coworkers' and annual contracts in 2026, which makes plan comparison less straightforward than it used to be
  • Overkill for anyone who just needs to translate occasional text or documents
  • Learning curve for teams unfamiliar with CAT tool workflows

Pricing

Free — $1,200/year (Adapt plan, billed annually)

Smartcat also sells 'Smartwords' as a consumption-based add-on for its AI Agents/coworkers features, separate from the base subscription tiers. Each tier includes a Smartwords allocation (Adapt 100K, Accelerate 1M, Anticipate 2M, Autonomous 6M annually), and additional pay-as-you-go top-ups can be bought from within the account, but Smartcat does not publish an exact per-Smartword or top-up price.

Typical workflows

  • A marketing team submits a campaign for translation into a dozen languages, machine translation produces a first draft, and marketplace linguists review and refine it before publishing.
  • A localization manager uses Smartcat's CAT editor to maintain a shared translation memory and glossary so terminology stays consistent across multiple translators and projects over time.

Integrations

  • SDL Trados package compatibility
  • Figma and Canva (design-file translation)
  • CMS and developer pipeline integrations on higher-tier plans
  • API access for custom workflow automation (higher-tier plans)

Privacy & security notes

Smartcat's security page states data is encrypted in transit via HTTPS/TLS and at rest via 256-bit AES, hosted in SOC 1/2/3-compliant Tier IV data centers, with each account's data isolated from other customers. When work is routed through the marketplace, the specific linguist or agency assigned to a project can see the source content needed to translate it, but Smartcat states it does not otherwise display, transfer, or share customer data.

Frequently asked questions

Is Smartcat just a machine translator, or does it involve human translators?

Both. Smartcat combines machine translation with an optional marketplace of over 500,000 professional linguists, so content can be machine-translated first and then reviewed or fully translated by a human, depending on the workflow you choose.

Is Smartcat worth it for a small business?

It depends on volume and need for human review. Small, occasional translation needs are usually better served by a free tool like DeepL or Google Translate; Smartcat's pricing and feature set are built for businesses with recurring, higher-volume translation and localization work.

What changed with Smartcat's pricing in 2026?

Smartcat shifted toward an 'AI coworkers' model with annual contract tiers, moving away from simpler monthly per-word pricing. Anyone evaluating Smartcat should check current plan details directly, since the structure and tier names have changed more than once recently.

How is Smartcat different from Lokalise?

Smartcat is oriented around content translation projects and a human-translator marketplace, while Lokalise is built specifically around managing translated strings inside software and apps as part of a developer workflow. Teams localizing a product's codebase typically need Lokalise; teams translating marketing or business content typically fit Smartcat better.

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