locAGI

Overview

locAGI is a cloud CAT platform for localisation teams that want translation, review, and automation in one workflow. It best suits teams prepared to work in a managed service and accept beta-stage constraints; its broad toolset is offset by no self-hosting and a private beta through its planned Q2 2027 public release.

Translation memory, terminology management, QA checks, and alignment cover recurring translation work, while MQM review and integrations with other CAT formats support review and handoffs. The service is operated by Terratra OÜ in Tallinn, Estonia. For a wider comparison, see Computer-Assisted Translation Software.

Key features

Translation and file workflows

Support for more than 40 source formats, including DOCX, XLSX, PPTX, IDML, HTML, XML, DITA, JSON, PO, RESX, and SRT, gives teams room to handle varied content without narrowing work to one file type. memoQ MQXLIFF, Trados SDLXLIFF, Phrase MXLIFF, and XLIFF 1.2 and 2.0 workflows provide routes between locAGI and established CAT environments. The maker cautions that desktop CAT tools are more battle-tested for XLIFF files with 50,000 or more segments, so very large projects are a weaker fit.

AI and quality review

AI model options include OpenAI, Anthropic, Google, Mistral, DeepSeek, xAI, and DeepL, as well as private models through Ollama or OpenAI-compatible endpoints. Teams can use tokens provisioned by locAGI or bring their own key; that flexibility matters for teams choosing their model route, but AI usage is separate from the free platform plan.

MQM review supports MQM Core, LISA QA Model 3.1, or custom free-text categories, and findings can be exported to Excel. That gives linguistic teams a structured way to review issues against their preferred framework rather than relying on a single fixed category scheme.

Automation and controls

A REST API covers projects, segments, QA runs, and exports. API tokens, webhooks, and an OpenAPI specification support integration and automation work. Security controls include project audit logs, per-user rate limiting on AI surfaces, BYOK, and private-model routing. SSO, SCIM provisioning, SOC 2 Type II readiness, and data-residency controls are roadmap work, with SOC 2 readiness underway; organisations that require those controls now should look elsewhere.

Pricing

Free forever — platform: 0.00 USD per free. Platform, seats, and setup are billed at $0, with no annual commitment and unlimited seats. Included storage is 1 GB on the homepage. AI is billed separately or used through BYOK, so the free platform price does not mean unlimited free AI translation. This is the clearest fit for teams wanting to try the platform without a seat charge.

Pay-as-you-go AI: custom pricing. Tokens are provisioned by locAGI, with the same integrated editor and an option to switch to BYOK. Teams that need predictable per-month AI costs should weigh the variable usage model carefully.

Platforms

locAGI is available as a managed cloud service through the web, with API access and Linux and macOS platform listings. It cannot be self-hosted and has no offline desktop use, which rules it out for teams that need local deployment or work without connectivity.

Who it's for

Enterprise localisation teams and linguistic teams with internal staff and contracted freelancers are the intended audience. Unlimited seats on the free platform plan may suit teams evaluating shared workflows, while format compatibility, QA export, and API automation are more compelling for teams coordinating ongoing translation operations. The private beta makes it a less suitable choice for organisations that need a mature production platform today.

Pros and cons

Pros

• Translation memory, terminology, QA, alignment, and MQM review combine core recurring workflows in one platform.
• Broad source-format and CAT exchange support helps teams work across varied content and existing CAT environments.
• Unlimited platform seats and no annual commitment make the free plan accessible for team evaluation.
• Multiple AI providers, private-model routing, and BYOK give teams a choice of AI setup.

Cons

• Private beta status and a planned Q2 2027 public release are significant caveats for production-critical use.
• Managed-cloud-only deployment means no self-hosting or offline desktop workflow.
• Desktop CAT tools are more battle-tested on XLIFF files with 50,000 or more segments.
• SSO, SCIM, SOC 2 Type II readiness, and data-residency controls remain roadmap work.

Alternatives

For a free, open-source CAT tool with Linux, macOS, and Windows support, consider BasicCAT. Supervertaler Workbench is another free option for Linux, macOS, and Windows users. Choose CafeTran Espresso if its free plan of 1,000 translation units and 500 glossary terms fits the work, or its 80.00 EUR per year plan suits a higher-volume need.

Déjà Vu X3 offers a Windows free plan limited to one target language per project and one translation memory and termbase per target language. TextUnited may suit a web-and-API workflow with a free allowance of 15,000 words per month, 15 PDF pages per month, and one user. Lokalize is a free option for Windows, macOS, and Linux.

Smartcat has annual plans at 1200.00 USD per year for one workspace and 100K Smartwords, or 24000.00 USD per year for one workspace and 1M Smartwords. Matecat is another free option with API support.

Verdict

locAGI is worth considering for localisation and linguistic teams that want translation, structured QA, flexible AI routing, and automation under a shared cloud platform without per-seat platform charges. Its main draw is the breadth of workflows and model choices; its main reasons to look elsewhere are private beta status, cloud-only deployment, separate AI costs, and unfinished enterprise compliance controls.