POEditor is a collaborative online service for translation and localization management.
Bring your team to POEditor to easily localize software products like apps and websites into any language!
You can automate your localization workflow with powerful features like API, GitHub, Bitbucket, GitLab and DevOps integrations.
Get realtime updates about your localization progress on Slack and Microsoft Teams and recycle translations with the help of the Translation Memory.
You can mix human translation and machine translation to your convenience, using your own translators or ordering human or automatic translations from 3rd party vendors.
POEditor currently supports the following localization file formats: Flutter ARB (.arb), CSV (.csv), INI (.ini), Key-Value JSON (.json), JSON (.json), Gettext (.po, .pot), Java Properties (.properties), .NET Resources (.resw, .resx), Apple Strings (.strings), iOS XLIFF (.xliff), XLIFF 1.2 (.xlf), Angular (.xlf, .xmb, .xtb), Rise 360 XLIFF (.xlf), Excel (.xls, .xlsx), Android String Resources (.xml), YAML (.yml).
Create an account today and start a Free Trial to test your desired localization workflow! No credit card required.
I enjoy using this platform. It has really made my work as a translator easier. I like that you can see the history of the translations and also the QA check feature is really useful.
Easy to use UI, a lot of useful features and a reliable support team!
It made my life much easier and helped me get my project done in no time. The features are really straightforward to use and their support team are always ready to give a hand in case you get stuck. I highly recommend it to everyone who needs professional help to manage a localization project effectively!
Based on our record, Hugging Face seems to be a lot more popular than POEditor. While we know about 261 links to Hugging Face, we've tracked only 7 mentions of POEditor. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For the purpose of this blog and demo I decided to use POEditor to host my translations. They have a generous free tier which is more than enough for this demo. I created a project, added 2 languages (NL and EN) and added a few translations to it. - Source: dev.to / 8 months ago
For this, I tried to use Angular's build in functionality (@angular/localize) with POEditor. Source: almost 2 years ago
Check out POEditor, might be what you are looking for. Source: about 2 years ago
There's a bunch of others you can find if you google something like "crowdsource app translation" (ex1 ex2 ex3). I hope this helps, and I'll go add these to our wiki, since I also had to hunt them down across the subreddit. Source: over 2 years ago
It would be great if the translation is on a service like https://poeditor.com/, so it can be easier to maintain and recruit other faculty members that aren't so savvy. Source: over 2 years ago
Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 7 days ago
This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 8 days ago
I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago
Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 21 days ago
While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 27 days ago
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