When to use AI vs human translation
One of the biggest advantages of Taia is the flexibility to choose between instant AI translation, AI with post-editing, or full human translation — based on your goals, timeline, and content type.
AI-only translation
Best for
- Internal content
- Drafts and working documents
- Product specs or technical data
- High-volume, low-priority content
Pros
- Fast — most files translate in under a minute
- Affordable — uses your monthly credit quota
- Scales easily across many languages
Watch out for
- Nuance, tone, or idiomatic expressions may not be perfect
- Brand misalignment without a glossary or style guide
- Still requires review for client-facing material
AI + post-editing (MTPE)
Combine the speed of AI with a human editor who reviews and refines the output. This is the default hybrid workflow in Translation Studio.
Best for
- Marketing content
- Blog posts and campaigns
- Product listings
- User interfaces
Pros
- Faster than human-only translation
- Higher quality than AI-only
- Human editors apply glossary, tone rules, and style guides
Available via
- Your internal team (via the CAT editor)
- Taia's network of linguists (MTPE professional service)
Full human translation
Choose this when accuracy, brand voice, and trust are the top priority.
Best for
- Legal documents and contracts
- Regulatory or compliance content
- Print materials
- High-visibility landing pages
- Complex multilingual campaigns
Pros
- Linguists consider culture, tone, and context
- Multiple QA layers available (Enhanced and Ultimate tiers)
- ISO 17100 certified process
Considerations
- Longer turnaround than AI
- Higher cost per word, but higher impact on content quality
Quick decision guide
| Content type | Recommended approach |
|---|---|
| Internal docs, drafts | AI-only |
| Blog posts, product copy | AI + post-editing |
| Compliance / legal | Full human translation |
| Email marketing | AI + post-editing or human, depending on the market |
| SEO-focused landing pages | Human translation (tone + keyword precision) |
Tips
- Set expectations with stakeholders: AI translation is fast and good, but not always perfect on the first pass.
- Use glossaries and style guides to close the quality gap in AI output.
- Review AI output in the CAT editor before publishing to catch edge cases.
- Reserve human expertise for the content that genuinely needs it.