Head-to-head · Language Translation Software
Amazon Translate vs Baidu Translate
Amazon Translate leads on 0 checks, Baidu Translate on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon Translate · 9.0/10
- Free planonly Baidu Translate
- Most featuresBaidu Translate · 3 of 3
Amazon Translate scores higher on our rubric for language translation software: 9.0 against 8.9 out of 10; our editors rank them #5 and #6.
Baidu Translate offers free plan; Amazon Translate doesn't.
Amazon Translate is the better fit for teams integrating translation into AWS workflows. Baidu Translate is the better fit for teams needing broad language and deployment coverage.
- Amazon Translate fits best
Teams integrating translation into AWS workflows
- Baidu Translate fits best
Teams needing broad language and deployment coverage
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Side by side
| Feature | Amazon Translate 9.0/10 Visit ↗ | Baidu Translate 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.0 | 8.9 |
| Ranking | #5 in Language Translation Software | #6 in Language Translation Software |
| Best for | Teams integrating translation into AWS workflows | Teams needing broad language and deployment coverage |
| Pricing model | Paid | Free plan + paid |
| Starting price | $15/unit usage-based | — |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted, Desktop, Mobile, Browser extension |
| Platforms | Web | Web, Windows, macOS, Chrome extension |
| Support | Docs | Email, Phone, Docs |
| Integrations | 6 integrations | 2 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Amazon Translate 1/3 · Baidu Translate 3/3 | ||
| Glossary support | Not checked yet | ✓ (best) |
| Translation memory | Not checked yet | ✓ (best) |
| API access | ✓ | ✓ |
| Specs | ||
| Translation modes | Not checked yet | Not checked yet |
| Languages supported | Not checked yet | Not checked yet |
| Native integrations | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Amazon Translate is a cloud-based neural machine translation service for developers and organizations that need translation inside applications or content workflows. It supports 75 languages, with real-time text translation and batch or… Read the review → |
Baidu Translate serves individuals, teams, enterprises and developers who need translation across more than 200 languages. Its web product covers text, documents, images, audio, video and webpages; desktop applications add… Read the review → |
Strengths and trade-offs
Amazon Translate — where it wins
- Translates text in real time and documents in batch or real time
- Supports custom terminology, parallel data, and source-language detection
- Integrates with Amazon S3, AWS Lambda, and other AWS services
Where it doesn't
- No permanent free plan; usage starts at $15 per million characters
- Real-time DOCX translation costs $30 per million characters
- Support channels listed are documentation
Baidu Translate — where it wins
- Translates text, documents, images, voice, video and webpages
- Offers APIs, Chrome and desktop tools across several platforms
- Supports private on-premises deployment and custom terminology
Where it doesn't
- Paid plans are described by features, not prices here
- Enterprise Premium centers on custom deployment and may exceed smaller needs
- Enterprise plan names and feature counts do not clarify usage limits
- Amazon Translate9.0/10 · Paid
A usage-priced translation API for teams building on AWS.
Try Amazon TranslateFull verdict → - Baidu Translate8.9/10 · Free plan
Broad translation coverage spans everyday formats, developer APIs and private deployment.
Try Baidu TranslateFull verdict →
More comparisons
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- Baidu Translate vs Lokalise
All language translation software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




