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locAGI

Freemium#14 of 29 in Computer-Assisted Translation Software

locAGI: A modern web CAT platform with a generous free core and flexible AI options. Ranked #14 of 29 in Computer-Assisted Translation Software by our editors (7.8/10); pricing: Free plan; best for teams wanting a modern free web CAT platform.

7.8/10Editor score
locAGI7.8 Visit locAGI

At a glance

  • Editor score
    7.8 / 10
  • Pricing
    Free plan
  • Best for
    Teams wanting a modern free web CAT platform
  • Free plan
    Yes
  • Offline desktop use
    No
  • Facts checked
    21 Sep 2026
locAGI screenshot
  • Where it wins

    • Free forever plan includes unlimited seats and workspace storage
    • Combines memory, termbases, QA, alignment and collaboration
    • Supports major AI providers, CAT formats, REST API and webhooks
  • Where it doesn't

    • Currently in private beta ahead of its planned Q2 2027 public release
    • Web-based deployment does not provide an offline desktop option
    • AI and storage usage can add consumption-based charges

Our verdict on locAGI

locAGI is a browser-based computer-assisted translation platform for localisation teams, linguists and reviewers. Its core workspace combines a source-target CAT editor with searchable translation memory, concordance, pretranslation, project termbases and terminology controls. MQM and LISA quality review, bilingual alignment, AI-assisted translation, post-editing and live collaboration extend the workflow beyond basic translation editing. Teams can work with comments, mentions and autosave, while REST API access, webhooks and an OpenAPI specification support automation.

Pricing is structured around a free core and two AI usage models. The Free forever plan includes the integrated CAT editor, unlimited seats, included storage and workspace creation without a credit card. Pay-as-you-go AI uses tokens provisioned by locAGI, with payment based on consumption and no monthly minimum. The Bring your own keys option supports OpenAI, Anthropic and Google API keys; provider charges go directly to the customer, with no locAGI AI markup. Storage and AI usage therefore suit teams that want to start without a subscription commitment but should be considered in ongoing budget planning.

Format and ecosystem support are a strong fit for multilingual operations. locAGI supports round-trip workflows for XLIFF, MQXLIFF, SDLXLIFF, TMX and TBX, and connects with OpenAI, Anthropic, Google, Mistral, DeepSeek, xAI, DeepL, Ollama, memoQ, Trados and Phrase. The main trade-off is deployment: it is web-based rather than an offline desktop application, and it is currently in private beta ahead of a planned Q2 2027 public release. Teams seeking collaborative browser workflows, integrated QA and flexible AI access should consider locAGI; teams requiring offline desktop work should choose an alternative.

Your product? Our editors can test locAGI in depth and publish a review, labelled as paid · from $149/mo →

locAGI pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 21 Sep 2026.
See plans on locagi.com

All 3 locAGI plans and prices →

locAGI fact sheet

Free planYes
Paid fromNot verified
Translation memoryYes
Terminology managementYes
QA checksYes
Alignment toolYes
Deployment modelWeb
Offline desktop useNo
DeploymentCloud, Browser extension
PlatformsWeb
SupportDocs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations11 integrations: OpenAI, Anthropic, Google, Mistral, DeepSeek, xAI …
PricingFree plan (source)
Websitelocagi.com
Facts checked21 Sep 2026

locAGI integrations

locAGI lists 11 integrations on its own site.

  • OpenAI
  • Anthropic
  • Google
  • Mistral
  • DeepSeek
  • xAI
  • DeepL
  • Ollama
  • memoQ
  • Trados
  • Phrase

Alternatives to locAGI

See all locAGI alternatives →

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Featured on iTechGuides

Featured on iTechGuides — locAGI 7.8/10

locAGI is listed in our Computer-Assisted Translation Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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