Text United vs DeepL
A detailed comparison to help you choose between Text United and DeepL.
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Verdict: DeepL wins
DeepL scores 4.3/5, edging out Text United at 3.6/5. Professionals and product teams who translate content a human will read and where terminology and tone matter more than maximum language coverage.
Text United AI localization software for businesses | DeepL The world's most accurate AI translator | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Documentation-heavy or regulated businesses that need terminology-controlled AI translation with human review chains, without enterprise TMS pricing. | Professionals and product teams who translate content a human will read and where terminology and tone matter more than maximum language coverage. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierapi access | free tierapi access |
| Visit Text United → | Visit DeepL → |
Text United
Pros
- + Terminology and language-style control is included even on the free tier — my test uploads respected custom term bases rather than raw-translating them
- + Honest published pricing: free (15,000 words/mo, 1 user), TEAM €150/mo, OnePlatform €780/mo with API, automated workflows and SSO
- + Full TMS workflow depth: segment status, review-and-approve chains, translation memory reuse, in-context localization widget
- + Human translation by TextUnited's translators is purchasable inside the project, and edited segments feed back into memory
Cons
- - Interface is functional but dated; professional TMS learning curve for non-localization users
- - Small vendor (Vienna, founded 2009, roughly 18 staff per LinkedIn) — slower AI roadmap and a thinner integration catalogue than Smartcat or Crowdin
- - No push-button website publishing: no built-in translated URLs/hreflang deployment, web content goes through API work
- - Monthly word/PDF-page metering with paid overages can surprise teams with large one-off projects
DeepL
Pros
- + Glossary enforcement held across both text and document translation in my tests — pinned terms stayed untranslated.
- + Document translation preserved DOCX tables and heading styles instead of flattening them.
- + HTML tag handling leaves markup in place and does not bill tags as characters, which keeps web-content costs predictable.
- + Free web tier (50,000 characters/month) is enough to evaluate quality on your own content before paying.
Cons
- - Free tier is small and file translation is metered separately (3 files/month on Individual).
- - DeepL Write Pro is a paid add-on on Individual and Team rather than included.
- - API overage (roughly EUR 22 per million characters at time of writing) prices higher than Google's basic tier.
- - Still fewer low-resource language pairs than Google Translate despite the 100+ language expansion.
Frequently Asked Questions
Which is better, Text United or DeepL?▼
DeepL scores higher at 4.3/5 vs 3.6/5 for Text United, making it the better-rated option in our comparison.
What is the difference between Text United and DeepL?▼
Text United: Localization management platform with AI translation, in-context translation, and developer integrations for software localization. DeepL: AI translation service known for nuanced, high-accuracy translations supporting 32 languages with a document translator.
Is Text United or DeepL more affordable?▼
Text United starts at €0/mo, DeepL starts at €0/mo. Check the comparison table above for current pricing.
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