DeepL vs. Espresso

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.

Incentivized

• It is very easy to verify Images with drawable resources
• Color Verification we can do this by referring to the same hex code as the developer team used so that it is reused.
• Opening a desired activity without performing End-to-end flow which eventually saves time.
• If the application is built on Android we can go testing activity with Espresso as it provides all the necessary APIs
• Espresso is not appropriate to iOS app automation, from a business point of view we need to hire new resources for iOS testing.

Incentivized

• language-to-language translation of written text
• document translation
• translation parts of text on the web with one click
• instant translation of text on images
• multiple choice in "idioms"

Incentivized

• Automatic Waiting logic before failing any test
• Black box and Grey box testing
• Easy to Understand and Very Flexible
• Supported Java And Kotlin
• Fewer Efforts compare to other Mobile Automation Frameworks
• Execution is very Fast

Incentivized

• 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

Incentivized

• As Espresso works on the ideal thread if the threads are not handled properly by the developing team it can lead to challenges in the execution of your tests.
• Depends more on the developer's code
• we cannot develop tests as individual frameworks, we share the repository with developers.
• We need to be cautious while making changes in the tests, as we share same repository

Incentivized

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.

Incentivized

As our app is complete on Android Espresso is the best choice over Appium Fewer efforts in Espresso over Appium, as Espresso provides some built-in library to perform the operation. Easy to use, Espresso is very easy to understand and we can perform operations with very little code. Developers can contribute, as they have good command over Java and Kotin languages and also use Espresso for unit testing.

Incentivized

• 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

Incentivized

• As it is an Open Source tool it cost-effective
• East to use, so that you can train many new Joiners to start delivering the tasks
• Maintainance is very low, as we depend on the developer's layout files we can reuse their elements
• We can cover most of the scenarios which helps in the coverage of the tests

Incentivized