DeepL vs. OpenAI API Platform

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

For smaller organizations that run lean and would like to get to deploy a solution quickly. This is a solution that is easy and quick to develop. It has a good amount of customization. However, for advanced customization this might not be a good solution. I suggest experimenting with OpenAI API and then if the experimentation is successful then it is a good idea to optimize and try other LLM models.

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

• The developer experience is top notch. Their SDKs are super easy to use
• Organization and project billing separation. You know where everything was consumed.
• Playground. The playground is super useful to prototype without writing a single line of code

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

• Restrictions are sometimes too strong

Incentivized

Easy to setup, develop and deploy. The payload for the API is simple and has all the inputs required for simple projects. There are a good number of options of LLM models to optimize for speed, cost or quality of the answers. A larger token input might improve the overall usability.

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

Anthropic is only the best for coding and its really really expensive. So, if you're not making a coding app, I would stay away from it. On the other hand, Gemini models are dirt cheap but come with a bit of performance limitations, so i would use it for big volume non sofisticated use cases. The OpenAI API platform excels at providing best in class performance models, at not outrageous anthropic-like pricing.

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

• Big question about functionality

Incentivized