PTC vs Lokalise: features, AI translation, cost
PTC and Lokalise both translate software for global teams. Lokalise is an expensive, full-featured TMS; PTC (Private Translation Cloud) is an affordable AI Translator & Reviewer. Lokalise plans start at $120/month with annual billing; PTC charges per word translated, with no contract.
If you're researching a translation management system (TMS) for your software, Lokalise is one of the most-recognised names in the category. A TMS is a full-suite platform: project management, translator marketplace, translation editor, workflow automation, vendor management, quality assurance, analytics, and dozens of integrations. Most of those features were built before AI translation existed - when human translators did the work. Today AI translates and reviews. Much of what a TMS does sits unused on most software teams - but the team still pays for the whole thing.
Feature comparison: PTC vs Lokalise
| Lokalise - TMS | PTC - AI Translator & Reviewer | |
|---|---|---|
| Pricing model | From $120/month plan + yearly cap on words processed | Pay only per source word translated |
| Minimum commitment | Annual billing | None - pay only when you translate |
| Free trial + free tier | 14-day trial, free tier with 2 languages | 30-day trial, 500 words/month free, forever |
| AI translation engine | Multiple third-party engines, plus Pro AI | PTC's own multi-model engine, trained on your edits |
| Brand voice + style | Translation memory + glossary across the string library | Translations sound like your product, release after release |
| In-software review of the translated product | Design-stage tools (in-context editor, Figma plugin) | Visual AI Review of the running product, after each release |
| Translation memory | Built in | Built in |
| Placeholders + plurals | Handled (CLDR) | Handled (CLDR) |
| Git host + CI/CD | GitHub, GitLab, Bitbucket | GitHub, GitLab, Bitbucket + REST API |
| File format coverage | Broad (.po, .json, .xliff, .strings, .arb, .xml, .resx, etc.) | Broad - full list |
Lokalise grew into a full-suite TMS - PTC stayed focused
Lokalise started as a developer-focused string-management tool. Over time it added over-the-air delivery for mobile apps, a Figma plugin for design teams, dozens of CMS and dev-tool integrations, vendor management, branching workflows, language quality assurance, multiple SDKs, and most recently an AI orchestration layer that picks between third-party engines like DeepL, Claude, GPT-4o, and Google. Each addition made sense when it shipped. Together they form a full-suite platform with AI translation as one feature among many - and a price tag that reflects all of it, even if you only translate strings.
PTC was built for the AI era - it's an AI translator, not a TMS. AI translates the resource files. AI reviews the rendered product. There are no human translator marketplaces, no project management workflows, no multi-engine routing decisions to weigh. One use case: translate your software with AI and verify the result. That's why PTC can charge per-word - you use everything the platform offers, and what it offers is exactly what software teams need from a translation platform now.
Two benefits follow. You don't waste money on capabilities you'll never use - no translator marketplace fees, no orchestrator subscription, no analytics suite, no integration library you don't need. And your bill drops sharply. The pricing section below puts numbers on it.
Pay for translation, not seats and tiers
Lokalise's plans illustrate the older pricing model. The Start plan is $120/month (annual billing) and does not include translation memory management or screenshot uploads. The Growth plan runs from about $290 to $499/month depending on the source and still misses several essential features. The Advanced plan is $999/month - the first plan that includes translation memory management, automatic backups, branching, and user groups. Teams that need these basics end up at $999/month regardless of how many words they translate.
On top of the plan price, Lokalise bills for "processed words". Every import, edit, or auto-translation counts against the quota. Translate 1,000 words into 10 languages and that's 10,000 processed words. Fix a typo and re-translate and you pay again. The Start plan caps at about 60,000 processed words per year; Growth at 500,000.
PTC is Pay-As-You-Go. You activate it once and pay only for the source words you actually translate. The per-word rate drops as your monthly volume grows:
| Cumulative monthly words | Price per 1,000 words |
|---|---|
| 500 | Free |
| 2,500 | €3.00 |
| 15,000 | €2.40 |
| 100,000 | €1.60 |
| 1,000,000 | €1.00 |
There is no seat fee. No annual contract. The first 500 words each month are free. If you translate less, you pay nothing. The lowest rate you reach in any month carries forward as your starting rate for the next three months, so you don't lose a discount you've earned.
For a mid-size team translating 100,000 words a month into 5 languages, PTC works out to about €182 in the first month and €159 in subsequent months. Lokalise Advanced - the first plan with the basics - is $999/month (around €920). Including the processed-words multiplier from the 5 languages, that volume would also exceed Lokalise Growth's annual quota in a single month.
"Got tired of paying Lokalise $1000+/mo for translations that didn't understand our product terminology or context." - r/webdev, January 2026
Both translate reliably - PTC's benchmark beats DeepL and humans
Lokalise produces reliably good translations. So does every other specialist platform - at this point in the category, translation quality among major TMSes has converged at the top. The difference between vendors is sub-perceptible to a buyer making a purchase decision.
PTC's benchmark against DeepL and human translators shows PTC producing much better translations than DeepL for every language pair tested, and significantly better translations than most human translators. At this point in the category, raw translation quality has stopped being the deciding factor between specialists.
PTC's glossary learns your edits - Lokalise's stores past translations
Lokalise's translation memory and glossary are well-regarded for reusing past translations and keeping terminology consistent across a string library.
PTC's glossary looks similar on the outside but builds differently underneath. Every time you edit a PTC translation, the glossary updates. The style choices the editor makes - tone, register, preferred phrasing - carry over to the next release without re-prompting. After a few releases, the translations sound like your product, not like generic AI output.
This matters when you ship to non-English-speaking markets monthly. A glossary that stores past translations gives you vocabulary consistency. A glossary that learns from your edits gives you a translation voice that matches your brand.
PTC reviews after release - Lokalise stops at the design stage
Lokalise's review tools are for the design and translation stages. The Figma plugin shows strings against a design mockup. The in-context editor lets translators edit strings inside the running app at translation time. Both add useful context for the translator.
Neither catches broken layouts automatically. Neither generates fix prompts for source-code issues. Neither runs after the release. The release-day QA pass per language is still on your team.
PTC's Visual AI Review takes a different role. After PTC translates your resource files, it loads the rendered product - via browser extension for web apps or screenshot upload for native and desktop apps - and reviews each translated screen. It catches:
- A German label that overflows a button because the translation is longer than the source allowed.
- A French "Submit" translated as a noun when the UI needed a verb.
- A hardcoded English string outside
t()or__()that escaped the resource files.
Issues PTC can fix in the resource files are fixed automatically. Issues that live in source code come back as ready-to-paste prompts for Cursor or Claude Code. The result is a release that has already been reviewed in every language by the time you deploy it.
Where Lokalise and PTC are equally good
Outside the competitive points above, Lokalise and PTC handle the technical baseline the same way:
- Translation memory: both reuse past translations across projects.
- Placeholders and plurals: both handle
%s,{name}, ICU MessageFormat, and CLDR plural rules across the major target languages. - File formats: both cover the formats software teams need - PO/POT, JSON, XLIFF, .strings, Android XML, YAML, .resx, ARB, and more. PTC's full list of supported file formats is in the API documentation.
- Git host integrations: GitHub, GitLab, and Bitbucket native sync on both. PTC's REST API covers anything outside the three.
For most teams the question is not "does the platform handle my .po files?" It is "what does it cost me, and what does it ship?"
ISO 27001 certified - security sign-off without extra review
PTC holds ISO/IEC 27001:2022 certification from Bureau Veritas. Your security team can clear PTC quickly - no extra audit cycle for a platform that's already independently certified.
When Lokalise is the better fit
Lokalise fits better than PTC in two cases:
- You have a dedicated in-house translator team that works inside the platform daily and uses the in-context editor as part of its routine.
- Your design system is heavily Figma-based and the Figma plugin is core to how your localization team works.
Pick PTC over Lokalise: practical and lean
PTC fits when you want a practical, lean tool. Set it up in minutes, leave it alone, let it do its job. It runs automatically when you ship, doesn't charge you when you're not translating, and produces translations you don't have to second-guess. No tier upgrade to unlock translation memory management. No release-day QA pass per language.
PTC isn't a discount version of Lokalise. It's a different category of product - built for AI translation as the primary use case, not as one feature added to a larger platform. The lower price reflects what you're actually buying.