Azure AI Language (formerly Azure Cognitive Service for Language) is a managed service to add natural language capabilities, from sentiment analysis and entity extraction to automated question answering. Users can identify key terms and phrases, understand sentiments, and build conversational interfaces into applications. Annotate, train, evaluate, and deploy customizable models without machine-learning expertise.
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DeepL
Score8 out of 10
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DeepL is a web-based translation tool supported by the company of the same name in Cologne. It is available via a free edition, and commercial editions that provide advanced features.
Best suited for large organizations, availability of usage of more than one language in a specific API call. Moderately suited for small and mid sized organizations as the pricing is on a higher end
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The integration is very easy implemented with email client or web browser, you can translate emails, web pages and quality of translation is on top. Regarding document translation it gives you only 3 formats of documents (.pdf, .pptx and .docx), in my experience this type of documents are sufficient, however it would be better to see other type of documents as well. Also, you have to convert your old document in Word or PowerPoint to latest version, otherwise program won't accept it.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
Availability of customizations in order to adjust some specific requirements
Availability of Language studio so that one can avoid coding
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Limits of the free version: 5MB and 5000 words. No problems with the paid version
Because it is the only software that translates documents while preserving the images and design of the original, it sometimes makes errors in output with aesthetically complex layouts
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the capabilities.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
DeepL thanks to AI produces results identical to Google Translate or in many cases much better and closer to reality.This helps a lot, especially when translating and reading long documents (instead of testing our patience to understand the translated meaning of technical documents).In addition, features such as translating text to images via ocr is amazing and very fast in both input (keyboard shortcut) and output.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I am one step ahead of Italian competitors by training abroad
I started parallel businesses to my business by comparing myself to foreign realities
I easily communicate with the support of the foreign software I use for work and with entrepreneurs all over the world, before I would have avoided so as not to lose temp
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info