
Plunet BusinessManager
Phrase
Lokalise
memoQ server
Smartling
Transifex
Smartcat
XTRF is one of the most popular and fastest growing project and business management systems for translation agencies and corporate translation departments.

Crowdin
Phrase
memoQ server
Plunet BusinessManager
Lilt
SDL Trados Studio
Ailaysa
The next-gen TMS for translation agencies and LSPs: a CAT editor, AI translation with QA and LQA, and business management for vendors, POs and client invoicing, in one system.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | xtrf.eu | languageops.com |
| Pricing | ||
| Company | Startup from Poland · 50 - 99 employees | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
[WEBINAR] XTRF for Beginners
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using XTRF and LanguageOps. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


XTRF starts at €75/user/month. That makes XTRF more accessible than many enterprise systems at the entry level, especially for teams comparing translation management system options for the first time. For a full...
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When comparing XTRF and LanguageOps, you can also consider the following products.

Plunet BusinessManager is a professional translation business management system that is helping you in managing your business processes.
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Localize your product in a seamless way with Crowdin's translation management software
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Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.
Compare Lokalise to XTRF or LanguageOps:

memoQ server is a full-fledged translation management system (TMS) used by enterprises and translation companies all over the world.
Compare memoQ server to XTRF or LanguageOps:
