Compare Azure Translator Text API and DeepL 
- Users report that Azure Translator Text API excels in its Auto-Detect Language feature, scoring 8.6, which allows for seamless translation without manual input, while DeepL follows closely with a score of 8.7, indicating strong performance in this area as well.
- Reviewers mention that DeepL shines in Real-time Translation, achieving a score of 8.9, which is significantly higher than Azure's 7.1, making it a preferred choice for users needing immediate translation capabilities.
- G2 users highlight that Azure Translator Text API offers a robust Machine + Human Translation option with a score of 8.5, which is slightly lower than DeepL's 8.9, but still provides a reliable solution for users seeking quality translations.
- Users on G2 report that DeepL's Document Translation feature is particularly effective, scoring 8.6, compared to Azure's 8.2, indicating that DeepL may be better suited for users who frequently translate documents.
- Reviewers mention that Azure Translator Text API has a strong Quality of Support rating of 8.8, which is higher than DeepL's 8.1, suggesting that users may find better assistance and resources when using Azure.
- Users say that while both products offer a Free Offering, DeepL's free tier is rated significantly higher at 8.8 compared to Azure's 6.5, making it a more attractive option for users looking to try out the service without commitment.
- Limited text translation
- 3 non-editable file translations per month
- Upload files up to 5 MB in size
Can use this service in machine translation technology and statistical machine technology. We use Azure Translation service at Teams, One-Drive, Outlook, Edge.
The conversion isn't always right and could deviate from the actual meaning of the raw text. Further, the challenges around understanding sarcasm, tone of the sentence is still fuzzy.
I like the accuracy DeepL displays when translating entire documents. This tool competes in a very saturated space but has still managed to stand out despite so many competitors.
Obviously, DeepL meant to exclude the Traditional Chinese language, it's either by demand or merely misunderstands that Simplified Chinese and Traditional Chinese are the same languages using the same characters and phrases. Unfortunately, the product...
Can use this service in machine translation technology and statistical machine technology. We use Azure Translation service at Teams, One-Drive, Outlook, Edge.
I like the accuracy DeepL displays when translating entire documents. This tool competes in a very saturated space but has still managed to stand out despite so many competitors.
The conversion isn't always right and could deviate from the actual meaning of the raw text. Further, the challenges around understanding sarcasm, tone of the sentence is still fuzzy.
Obviously, DeepL meant to exclude the Traditional Chinese language, it's either by demand or merely misunderstands that Simplified Chinese and Traditional Chinese are the same languages using the same characters and phrases. Unfortunately, the product...
