Smartcat

Smartcat's neural machine translation engine supports 280+ language pairs and improves accuracy over time by learning from project-specific translation memory, glossaries, and post-editing corrections. Unlike standalone MT services like Google Translate or DeepL, this adaptive approach means domain-specific terminology and style preferences are automatically reinforced with each completed project. On the Pro plan, teams can train custom MT engines on their own corpora for even higher baseline quality in specialized domains like legal, medical, or technical content.

The cloud-based CAT (Computer-Assisted Translation) editor allows multiple translators, reviewers, and managers to work on the same document simultaneously with changes visible in real time. It includes segment-level commenting, change tracking, in-context preview for web and mobile content, and integrated QA checks that flag issues like untranslated segments, inconsistent terminology, number mismatches, and tag errors before delivery. The editor supports keyboard shortcuts familiar to users of Trados and memoQ, reducing the learning curve for professional translators migrating from desktop tools.

Smartcat's integrated marketplace provides access to over 500,000 freelance translators, editors, and reviewers across virtually every language pair and specialization. Organizations can post jobs, review translator profiles and ratings, negotiate rates, and manage assignments entirely within the platform. The marketplace includes built-in payment processing, so teams can pay linguists directly through Smartcat without external invoicing or vendor management overhead. Translator performance is tracked with quality scores and delivery metrics, enabling data-driven sourcing decisions for future projects.

All translation memory (TM) and terminology glossaries are stored centrally and shared across projects, teams, and languages. When a translator works on a new segment, the editor automatically suggests matches from the TM ranked by similarity percentage, accelerating translation speed and ensuring consistency across documents. Terminology glossaries enforce approved translations for brand names, product terms, and industry-specific vocabulary, flagging deviations during QA checks. TM and glossary data can be imported from and exported to standard formats (TMX, TBX, CSV), enabling migration from other tools like Trados or memoQ without data loss.

Smartcat offers 40+ native integrations with platforms including GitHub, GitLab, Bitbucket, Figma, WordPress, Contentful, and HubSpot, enabling automated localization workflows where source content changes trigger translation jobs without manual intervention. The REST API supports programmatic project creation, file upload and download, status polling, and webhook-based notifications for CI/CD pipeline integration. For development teams practicing continuous deployment, this means localized content can be delivered in sync with code releases, reducing the lag between feature shipping and international availability.