
Easy translate to Go
Translation Process
Upload files
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Extract with nlp
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Translate with DeepL
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Refine with AI
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Easy-review/edit/metrics
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Download your original translated/edited files and GO
what we love in Gotranslance
translate

P.L: fr -
S.L:no -
T.L: zh

P.L: en -
S.L:de -
T.L: pt
because each language is unique
- ✓ Optimized language detection and validation
- ✓ AI refinement for improved accuracy
- ✓ Format consistency
- ✓ Easy to use environment
we love languages

Original language: Chinese
- File obtained in the extraction process
because languages are amazing, they describe our world
- ✓ we like linguistics
- ✓ Structured files added with your results
- ✓ Keep track of all of the end-to-end process
- ✓ Easy to use environment
and everybody loves data

P.L: es -
S.L:no -
T.L: zh
File generates during DeepL translation
because quality and security is very important for us.
- ✓ we warn you of UI changes
- ✓ make your own analysis
- ✓ More to come
- ✓ Use glossaries for memory or quality assurance
and more AI


because AI improves translations and QA
- ✓ reproducibility of results including errors
- ✓ refinement for improved accuracy
- ✓ More to come
- ✓ Easy to use environment
context awareness

→

P.L: es -
S.L:no -
T.L: pt
First file for DeepL translation shows block vs segment translation. Results shows block traduction which could be considered better for context.

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P.L: de -
S.L:en -
T.L: pt
First file for DeepL translation shows block vs segment translation. Results shows traduction corrected with ChatGPT. Generally for multilingual better use segemtns for now to assure there is always traduction
because context is everything and we decide how to use it
- ✓ smart context awareness
- ✓ AI refinement for improved accuracy
- ✓ Format consistency and we warn you when reordering or other changes are applied in translation
- ✓ Easy to use environment
what there is still ahead for us

P.L: fr -
S.L:no -
T.L: pt
Improve placeholder management
because building its an amazing process
- ✓ we are actively implementing new improvements and understanding problems and needs
- ✓ we appreciate feedback