DeepL vs Crowdin
Which one should you choose? Here's how they compare.
| Feature | DeepL | Crowdin |
|---|---|---|
| Rating | ★ 4.6 | ★ 4.4 |
| Pricing | $9-40/mo | $29-199/mo |
| Type | freemium | freemium |
| Company | DeepL | Crowdin |
| Founded | 2017 | 2009 |
DeepL Features
- •Text translation
- •Document translation
- •Glossary
- •API
Crowdin Features
- •Crowd translation
- •AI suggestions
- •Version control
- •Developer integrations
DeepL Pros
- ✓Best translation quality
- ✓Supports many formats
- ✓Fast
DeepL Cons
- ✗Fewer languages than Google
- ✗Free tier limited
- ✗No image translation
Crowdin Pros
- ✓Great for software localization
- ✓Community collaboration
- ✓Developer-friendly
Crowdin Cons
- ✗Complex for non-developers
- ✗Free tier limited
- ✗Learning curve
The Verdict
DeepL and Crowdin are two of the most popular tools in the translation category, but they take different approaches to solving the same problems. DeepL, developed by DeepL (founded 2017), is described as "ai translation tool known for high-quality translations.". Meanwhile, Crowdin by Crowdin (founded 2009) "collaborative localization platform for managing translations of software, websites, and apps.". In terms of overall user satisfaction, DeepL edges ahead with a rating of 4.6/5.0, compared to Crowdin's 4.4/5.0 — a difference of 0.2 points. DeepL's strongest advantages include best translation quality, supports many formats, while Crowdin is praised for great for software localization. Neither tool is perfect: DeepL's main drawbacks include fewer languages than google, free tier limited, while Crowdin users typically cite complex for non-developers as its biggest limitation. However, DeepL has an edge in document translation, which might be the tiebreaker if that's important to you. In terms of target audience, DeepL is particularly popular among translators and businesses, while Crowdin tends to attract developers and localization managers. Our verdict: DeepL holds a slight edge, but the gap is narrow enough that both tools are worth trying. Start with the free tier of each and see which fits your workflow better.
- • You need best translation quality
- • You need supports many formats
- • You need great for software localization
- • You need community collaboration