WebTranslateIt vs Transifex

Transifex is one of the long-established platforms in this category and a reasonable choice. This page covers where the two genuinely differ, including where Transifex wins.

Checked August 2026. Verify current details at transifex.com/pricing and on our pricing page — both products change.

Pricing model#

Transifex prices on hosted words. Their published tiers start at $160/month billed monthly, or $135/month billed annually, for Starter; Growth starts at $236/month monthly or $200/month annually and scales with word volume up to considerably higher figures. AI translation words are metered separately, sold as add-on packages from $84/month.

WebTranslateIt prices on source segments — one count per string in your source language file. Not words, and not translations. €65/month for 5,000 segments, €165 for 10,000, €332 for 50,000, on annual billing. Unlimited languages, projects and (on Enterprise) users.

The two units are not comparable and the difference compounds twice:

A segment is a string, not a word. “Your changes have been saved” is one segment and five words. Across a typical product segments average roughly four to six words, so a segment count is several times smaller than the equivalent word count before language multiplication enters at all.

Then hosted words scale with target languages and source segments do not. Our 5,000 segments is 5,000 whether you ship two languages or twenty.

Put together: a team going from four languages to twelve sees no pricing change here and a threefold increase in billable volume on a hosted-word plan, for exactly the same source content.

Which model wins still depends on your shape. Long-form content in one or two languages can land cheaper on a word model, because we count a 40-word paragraph and a 2-word button identically. Model your own numbers — segment length and language count both move the answer.

Machine translation: included or metered?#

This is the line item most often missed during evaluation, and it can be the largest one.

Transifex meters AI translation separately. Their Growth plan includes 60,000 AI words per year and Enterprise+ includes 300,000; beyond that, AI word packages start at $84/month with volume tiers. If your plan is to machine-translate a corpus and post-edit it, that add-on can rival or exceed the platform subscription.

WebTranslateIt includes machine translation on every plan — the pricing page lists “Free Machine Translation” on Starter, Premium and Enterprise alike. You get Google Translate, Microsoft Translator, Gemini and Mistral, with no per-word charge and no separate AI package to buy.

There is a fair-use character quota attached to each plan, so it is not literally unmetered — the mechanism exists to stop one organisation’s bulk run degrading the service for everyone else. Currently that is 500,000 characters per 30 days on Starter and Premium, and 2,000,000 on Enterprise. Exceeding it triggers a notification and a few days to adjust rather than a surprise invoice, and free trials are exempt.

For scale: 500,000 characters is roughly 80,000 words of machine translation a month, included. On a metered model that same volume is a line item you are buying separately.

The AI engines are not a bolt-on either. They expand plural forms to the target language’s CLDR categories, understand ICU MessageFormat structure, read your term base and developer comments as context, and take project- and locale-level tone instructions. See machine translation vs human translation for where using it is actually a good idea.

When comparing any two platforms here, price the machine translation you expect to use, not just the subscription. On a metered model that is a second bill; on ours it is not a line item.

Where Transifex is stronger#

Scale and enterprise features. Transifex has a deeper enterprise offering — advanced QA, workflow automation, translation quality scoring, and the support structure that goes with it. For a large localization organisation with a dedicated team, that depth is real.

Integration breadth. More pre-built connectors across CMSs, marketing platforms and support tools.

Quality tooling. Their TQI quality scoring and advanced QA features go further than what we offer for teams that want measurable quality metrics rather than pass/fail validation.

Vendor scale. A larger company with a larger compliance and support organisation. For some procurement processes that is the requirement.

If you need those, take Transifex. We are not the better product for a large localization department.

Where WebTranslateIt fits better#

Cost predictability across languages. The single most common reason teams switch to us.

Simplicity. Fewer concepts, less administration, faster to get running. This is a genuine trade — we have less depth, and for many teams less depth is the point.

No per-seat friction. Unlimited projects on every plan, generous user counts, unlimited users on Enterprise. Access is not something you have to ration.

Independence and longevity. Running since 2008, independently owned, no acquisition history and no post-investment pricing restructure. For infrastructure embedded in your build pipeline, that matters more than it looks on a feature grid.

Data sovereignty#

This is a real, verifiable difference between these two.

Transifex Opco LLC is a Delaware entity, with a Covina, California address, and their terms state that the agreement “will be governed by the laws of Delaware”.

WebTranslateIt Software S.L. is incorporated in Spain, hosting on Hetzner infrastructure independently audited to ISO 27001 and ISO 9001.

On storage location, Transifex is in Europe. Their security page states that files and virtual machines are “hosted with the largest managed cloud provider, Amazon Web Services (Ireland)”. If your requirement is that content sits in the EU, they meet it.

The differences sit at the other two layers:

Jurisdiction. A US-incorporated company can be subject to US legal process over data it controls, whichever region holds it. An EU-only data policy is usually written about the contracting entity rather than the region, and that is the clause that decides the shortlist.

Infrastructure operator. AWS Ireland is still Amazon — a US company — and the region setting does not change who runs the machines. We are on Hetzner, a German provider. Whether that matters depends on how far down the stack your policy reaches.

For fairness across the category: Crowdin (Estonian) and Phrase (Czech and German entities) are EU-incorporated too, and four of the five major platforms — all except us — run on AWS. The point here is narrower than “we are European and they are not”.

Four questions for any vendor: where incorporated, who operates the infrastructure, which region, which sub-processors. Ours are listed in our security policy.

Comparison#

Evaluating properly#

Use your real language files, including the format you expect to cause trouble. How a platform handles your placeholders and plural forms is what determines the daily experience, and only real files reveal it.

Model pricing at your projected language count, not today’s.

Include metered AI costs in the model if machine translation is part of your plan.

Test the sync in CI, including what happens when a source string is deleted.

Check the exit. TMX export for the memory, terminology export, translations in their original formats. Ask before you commit, not when you want to leave.

Migrating, if you decide to#

The mechanics are the same whichever direction you go, and the order matters.

Export the translation memory as TMX first. This is the asset you have paid for over years, and it is the thing most easily left behind. On WebTranslateIt you import it by creating a project, setting up the language pairs, uploading the TMX, then pointing your working project’s translation resources at it. Do this before starting real work — a memory imported six months in has missed the six months it would have accelerated.

Export the term base as CSV or spreadsheet and import it. Small, quick, and it carries the terminology decisions that are otherwise reconstructed from scratch.

Take the translated files themselves in their original formats, not as an intermediate export. You want the .po, .yml, .strings files your build already consumes, so the migration is a no-op from the application’s point of view.

Run both in parallel for one release cycle. Push to both, translate a small batch in the new tool, pull from both, and diff. This is how you find round-tripping differences — a comment format dropped, a plural form reordered, an encoding change — while it is still cheap to reverse.

The whole thing is usually a day’s work. The part that takes longer is retraining translators, which argues for migrating between releases rather than mid-sprint.

The short version#

Transifex is the larger platform with deeper enterprise and quality tooling. Choose it if you need that.

WebTranslateIt is simpler, prices on source segments so languages are free, is hosted and owned in the EU, and has been independently run since 2008. Choose it if that fits.