OpenLoc alternative

An AI translation platform you can run today, agency or not

OpenLoc is a new source-available TMS from ModelFront, free to self-host for a company’s own content. If you are a translation agency, would rather not run the servers yourself, or need more file formats, integrations or the business side, LanguageOps covers it in one hosted subscription.

  • No licence restrictions for agencies
  • Hosted, nothing to maintain
  • 80+ file formats
LanguageOps CAT editor with source and target columns, translation memory matches and QA findings in the sidebar
Why teams look for an OpenLoc alternative

What to check before you build on OpenLoc

OpenLoc has good ideas, especially AI checks that approve machine translation automatically. It is also version 0.1, released in October 2026, under a licence that is free only for translating your own business’s content. Three points from its own README and licence decide whether it fits.

  • Agencies need a commercial licence

    OpenLoc uses the Business Source License 1.1, not an open-source licence. Translating for clients, hosting it for another company or building a product on it needs a paid licence from ModelFront, at a price not yet published. LanguageOps has plans built for agencies.

  • Public beta, no warranty

    The README warns of bugs, missing features and breaking changes between releases, and asks self-hosters to back up before every upgrade. LanguageOps is a hosted service: upgrades, backups and security fixes are ours to run.

  • No content connectors yet

    OpenLoc’s own guide says none of the CMS integrations in its app is connected yet. LanguageOps connects to the systems your content lives in today, from Phrase and Lokalise to WordPress and GitHub.

Moving from OpenLoc

Bring your memories, terms and work in progress

  1. Export

    Take your data out of OpenLoc

    Export translation memories as TMX and term bases as TBX, and download a bilingual XLIFF for any job still in progress.

  2. Import

    Load it into LanguageOps

    TMX and TBX import into your translation memories and termbases with their language pairs. Bilingual XLIFF files keep their existing translations as the final text.

  3. Configure

    Set up AI and checks once

    Choose the AI model per project, attach your memories and terms, and pick the QA checks and LQA categories your reviewers use.

  4. Run

    Start with one project

    Run a real project end to end and compare the delivered file with what you get today before moving the rest.

What LanguageOps adds

The parts OpenLoc does not cover yet

Both are AI-first TMSs with translation memory, terminology, a CAT editor and QA. These are the differences that come up most when teams compare them.

  • 80+ file formats

    Office files including legacy .doc and .xls, InDesign IDML, XLIFF 1.2 and 2, YAML, .properties, subtitles and scanned PDFs, rebuilt in the original format. OpenLoc reads 13 formats, does not read XLIFF 2 and gives no translated PDF.

  • Very large files

    JSON, spreadsheets and XLIFF files far beyond OpenLoc’s 50 MB upload limit, with splitting and key or column filters so you only translate what matters.

  • Connectors

    Phrase, Lokalise, Crowdin, WordPress, SharePoint, Zendesk, GitHub and GitLab, so content arrives and goes back without manual exports.

  • Screenshots as context

    Screenshots linked to string keys appear in the editor next to each segment and are sent to the AI with the text, so a button label is translated as a button.

  • Your choice of model, including local

    OpenAI, Anthropic Claude and Google Gemini, or Privacy Mode with a model running on your own hardware. A self-hosted OpenLoc refuses AI providers on a private network.

  • QA and scored LQA

    Rule-based checks on every segment, spelling in about 40 languages, and LQA scorecards by error category and severity when a client wants evidence of quality.

  • Business management

    Rate cards with match-band discounts, quotes priced from the file analysis, purchase orders, client and supplier invoices, and Xero sync. OpenLoc tracks customers as project labels only.

  • Beyond documents

    Video subtitling and dubbing, live interpreted meetings, and transcreation of marketing content, on the same account.

  • Agents and automation

    An API, a command-line tool and an MCP server, so Claude, ChatGPT or your CI pipeline can create projects, run translation and QA, and fetch the results.

Pricing

Published prices, agencies included

Pay per job from £39 with no subscription, or subscribe from £25/month for a single linguist to £2,500/month for agencies. The CAT editor, translation memory, terminology, AI translation and QA are on every plan. OpenLoc is free to self-host for your own content; its hosted service and its commercial licence for agencies have no published price yet.

See pricing

OpenLoc and LanguageOps compared

OpenLoc LanguageOps
How you run it Self-host with Docker, or hosted (early access) Hosted; on-premise on Enterprise
Licence Business Source License 1.1; agencies need a commercial licence Subscription or pay per job, agencies included
Maturity Version 0.1, public beta In production
CAT editor, translation memory, terminology Yes Yes
Automatic approval of good machine translation Yes, a core feature Scored QA and LQA with filters to low-scoring segments
AI models OpenAI, Claude; DeepL, Google and LibreTranslate for machine translation OpenAI, Claude, Gemini, local models in Privacy Mode
File formats 13, XLIFF 1.2 only, PDF import only 80+, including IDML, XLIFF 2, legacy Office and scanned PDFs
Upload limit 50 MB per upload Built for very large files
CMS and repository connectors None connected yet Phrase, Lokalise, Crowdin, WordPress, SharePoint, Zendesk, GitHub, GitLab
Screenshot context for strings No Yes, in the editor and sent to the AI
QA Nine checks, spelling and grammar Rule-based checks, spelling in about 40 languages, LQA scorecards
Quotes, purchase orders, invoices No Yes, with Xero sync
AI assistant and MCP Built-in assistant and MCP server MCP server, CLI and API
Video, live interpreting, transcreation No Yes
Price Free to self-host for own content; hosted and agency prices not published Published, from £25/month or £39 per job

What OpenLoc does well

OpenLoc comes from ModelFront, which has worked on machine translation quality estimation for years, and it shows. Its AI workflow steps judge each machine-translated segment, approve the ones a professional would accept, post-edit the rest, and keep “auto-approved” as a status separate from a human approval, so the analysis shows how much a person actually read. It also has a built-in assistant that can answer questions about your projects and draw charts, custom dashboards, and an extension system for adding AI vendors. If you translate only your own company’s content, have engineers who can run and back up a Docker installation, and work mainly with the formats it supports, it is worth trying.

When LanguageOps is the better fit

  • You are an agency or LSP. OpenLoc’s licence does not allow free use for client work. LanguageOps is built for agencies, with client and vendor portals and the business side included.
  • You do not want to run servers. Upgrades, backups, monitoring and security fixes are part of the subscription.
  • Your files are varied or very large. InDesign, legacy Office files, XLIFF 2, YAML, subtitles and files of hundreds of megabytes are routine.
  • Your content lives in another system. Connectors move it in and out without manual exports.
  • You price and invoice the work. Quotes come from the same file analysis the translators see, and invoices sync to Xero.

The translation management system and AI translation platform pages cover each side in more detail, and the TMS pricing comparison covers annual costs across vendors.

OpenLoc and ModelFront are trademarks of their respective owners. LanguageOps is not affiliated with or endorsed by them. Comparison reflects OpenLoc version 0.1.0 and its public documentation as of October 2026.

Frequently asked questions

OpenLoc and LanguageOps, explained

Is OpenLoc open source?
Not under an open-source licence. OpenLoc is source-available under the Business Source License 1.1: you can read, modify and self-host the code, and production use is free only for translating your own business’s content. Each version becomes Apache 2.0 four years after its release.
Can a translation agency use OpenLoc for free?
No. Its licence excludes providing translation or localisation services to third parties, paid or not, and hosting it for another company. Agencies need a commercial licence from ModelFront or its hosted service, and neither price is published yet.
What does the 'public beta' warning in the OpenLoc README mean?
That the software is pre-1.0: it works, but expect bugs, missing features and changes that can break an existing installation between releases, so you should back up the database and file storage before each upgrade. Self-hosting comes with no warranty, and only the latest release gets security fixes. OpenLoc also publishes a list of known bugs in its roadmap.
Does LanguageOps approve machine translation automatically like OpenLoc?
OpenLoc’s strongest feature is a quality check that approves good machine translations and post-edits the rest before a human sees them. LanguageOps scores every AI translation with automated QA and LQA, and lets reviewers filter straight to low-scoring segments. If automatic approval is what you need most, ask us in the demo how far it can go on your content.
Can I self-host LanguageOps?
LanguageOps is a hosted service, with an on-premise option on Enterprise plans. If content must not leave your infrastructure, Privacy Mode translates with a model running on your own hardware.
Can I move my OpenLoc data to LanguageOps?
Yes. Export your translation memories as TMX, your term bases as TBX and any open jobs as bilingual XLIFF, then import them into LanguageOps. Existing translations in the XLIFF files are kept.
Does OpenLoc connect to my CMS?
Not yet. OpenLoc’s documentation says the CMS integrations listed in its app are placeholders and none is connected. Its connections today are AI assistants over MCP, its own API, and AI and machine translation providers.

Compare them on your own files

Book a walkthrough and bring a file you would translate in OpenLoc. We will run it through translation, QA and delivery in LanguageOps while you watch.