Crowdin

Pros

Right from the start, the interface feels friendly and simple which matters a lot for a volunteer-driven translation project like ours. Non-technical translators can begin contributing without much friction, while the platform still respects the guardrails we need. For instance, HTML codes are clearly highlighted during translation, the UI nudges people to carry them over properly and it throws errors if someone tries to save without them. On top of that, you can choose whether people are allowed to override those checks or not. The management features cover what we need and it includes several machine translation options as well as a built-in global translation memory which is especially valuable for our use case of translating software UI. Permissions are thoughtfully designed and the moderation tools are effective too, including the ability to remove contributions when needed because of mistakes or bad intent. Since we adopted it, they also added the "Developer" permission which really rounded things out for us. We have not needed anything beyond the default setup. Even with our completely open contribution model, we have not had a single spam incident in 9 years and across more than 3,000 members. It also supports a wide range of file formats and although software localization formats can be all over the place, there is enough compatibility that developers can usually adapt their translation files into something the platform accepts. A few years back, they added a multilingual view and that has been especially helpful for comparing regional variations within the same language, such as Brazilian Portuguese and European Portuguese.

Cons

Management side could still be improved for projects like ours where anyone can join and start contributing. The QA tools are quite thorough but they do not feel as integrated as they should. For example, there is both a "Reports" area and an "Advisors" area. The simpler "Advisors" view is the one I prefer because it is more actionable but it could definitely be expanded. It also seems to have some problems, for example, I believe the Screenshots advisory is broken. Our project gets a "Low screenshot coverage" warning claiming "0% of UI strings tagged on screenshots," even though we have hundreds of screenshots and thousands of tagged strings visible from a quick look at the Screenshots tab. CSV translation has also been frustrating to manage especially when importing existing translations because the file schema errors were hard to interpret. Better documentation would make a big difference there. I also think "File context" and especially the "Dictionary" could be surfaced much better in the translation interface. At the moment, words get underlined even when there is no relevant translation or context available for that language. What usually happens is that, say, a French translator adds a dictionary entry with a translation as guidance or quality control. But the original English source term is often just the same generic word so that word ends up underlined for every language even when it provides no useful information. Over time so many words have been added for different languages that the underlining has become noisy and translators stop paying attention to it, basically a Boy Who Cried Wolf situation. Lastly, the GitHub integration can behave in ways that feel a bit opaque especially when the token suddenly expires and it is not clear why. It would help a lot if the documentation explained this behavior in a more precise, repeatable way so we could understand how it interacts with downstream systems. One detail we have never been able to fully figure out is which contexts added through it actually make their way back into our Git repository.

Pros

As a freelance translator I really appreciate the simple editor and user interface. The built-in translation memory, glossaries and context screenshots speed up my workflow a lot while also helping me stay accurate. It supports languages very well and manages complex files without breaking tags or code.

Cons

Getting used to complex project settings and more advanced QA checks takes a bit of time at first. Also some automated suggestions can be repetitive now and then so they still need manual fine-tuning.

Pros

Having translation memory suggestions and machine translation built right into the editor really helps. Direct access to TM matches and MT engines speeds up the work noticeably and makes it easier to keep translations consistent across different projects.

Cons

Automated QA checks can be useful in English but they do not always fit Japanese well. Standard rules tend to trigger false positives for Japanese syntax and punctuation so clearing those warnings just adds extra noise during proofreading.