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[Waiting for user confirmation] which transation method should i choose ? google ? or azure or wpml as pricing is different, i have ...
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Background of the issue:
I am developing a site and need to choose a translation method for WPML. I am considering Google, Azure, or WPML due to different pricing options.
Symptoms:
I am concerned about what happens if translation starts and my 30,000 credits run out.
Questions:
Which translation method should I choose: Google, Azure, or WPML?
What happens if translation starts and my credits run out?
Before this ticket gets assigned to one of my colleagues, I will try to help.
I recommend trying to translate one page at a time and running this as a test to see which translation engines translate more to your liking.
After you decide which one you want to use, you can go with translating in bulk.
About the credits—once the 30,000 credits run out, WPML will stop translating. No automatic charges will be applied, and no extra translations will happen until more credits are added. This means there’s no risk of unexpected costs, and you’ll always have full control over when and how translations continue. If a project is large, keeping an eye on the credit balance or estimating ahead of time using hidden link" rel="noopener" target="_blank">WPML’s word count tool can help avoid interruptions.
Again, If you're unsure which engine would be the best fit, one option is to test a small batch of translations using each and see which one gives the best results for your specific content.
I hope that you will find this information helpful.
i just calculated i need 796000 credits for 18000 words into 22 languages, wil payg charge less than prepaid credits ot the same ? i also have to decide whether to use deepL or microsoft ? what do you think ?
The big factor here is the number of languages you must translate the content into. That's why you will need so many credits.
To answer your questions:
1. Yes, pay-as-you-go will be cheaper than buying prepaid credits.
2. It is hard to recommend a specific translation engine; this is more down to preference, as I've met customers who said that DeepL, for example, works best for their language combination.
DeepL is probably one of the best options on the list, considering you have many languages to translate.
You can also find here which translation engine supports which languages: hidden link
I hope that you will find all this information helpful.
so just to be sure i should use my 30,000 credits before i sign up for pay as you go ?
Would it not use the prepaid credits 1st if i signed up to PAYG ?
To cut costs i was thinking of using azure for my 22 languages
So yes, I would assign the credits first and use them first.
Regarding using Azure, that would definitely be cheaper and more appropriate if you don't have specific quality expectations regarding the translation.
If you want a top-quality translation, that will cost more.
That's why I recommended running tests in small batches with different translation engines to see which result makes you happier.
