Summary
| Foundation Year | 2008 |
| Country | 🇩🇪 Germany |
| Founders | Dr. Jaroslaw |
| Tier | Free Trial, Freemium, Paid |
| Platforms | Android App, API, Desktop App, iOS App, MacOS App, Web Browsers |
| AI Features | API, Live Speech Translation In-Person, Live Speech Translation Online, Live Voice Translator, Translation, Translation Memory |
| Pricing From | $8.74 Per Month |
| Support | Yes (Email) |
| Best Used For | AI Translations |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
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Description
Features
- Real-time voice translation
- Live translated captions in meetings
- DeepL Voice for Meetings
- DeepL Voice for Conversations
- On-device speech translation (mobile)
- Low-latency, high-performance translation
- Enterprise-grade security & data privacy
- Microsoft Teams and Zoom Meetings integration
- 30+ supported caption languages
- ISO 27001 & SSO-based secure access
Free Plan & Pricing
Refund Policy
5 Ratings
[3.5/5]
[1.7/5]
5app.ai Rating
[N/A]
AI Review
[4.3/5]
DeepL is widely recognized as one of the most accurate machine translation services, consistently outperforming competitors like Google Translate with natural-sounding, context-aware translations. Users praise its quality for professional documents and language learning. However, it has limitations including restricted language coverage outside European languages, higher pricing than alternatives, occasional technical issues, and less accuracy with specialized terms or less common languages. Customer service responsiveness has been criticized by some users.
Sources:- Apps.apple.com, Translatepress.com, Trustpilot.com, G2.com, Softwareadvice.com, Lokalise.com
Our Expert's Opinion
[4.5/5]
After trying DeepL and comparing it with other translation tools, I feel it is very strong in accuracy and natural-sounding language, especially for European languages, and it often understands the context better than many rivals. At the same time, it still has some clear limits: it supports fewer languages than tools like Google Translate, and this can be a problem if you work with more rare languages. I also noticed that advanced or team features can become pricey, and some users report bugs and slow or unhelpful customer support, which makes the “pro” experience feel less smooth than the core translator quality. Overall, I would still choose DeepL when I really care about high-quality text, but I would not rely on it alone for every language or every workflow.
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