Fluentc
AI-powered translation API with sub-200ms responses, batch processing, and format preservation for developers and automation builders.
| What is it | AI-powered translation API with sub-200ms responses, batch processing, and format preservation for developers and automation builders. |
|---|---|
| Pricing | Paid — from $10/mo |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Works with | n8n |
| Best for | integrating real-time translation into chatbots and agents, translating large product catalogs or content in batches |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does Fluentc do?
Fluentc is a translation API built for modern development workflows. It lets you call translation from within AI agents, automation tools like n8n and Zapier, or your own code. The API handles language detection, batch translation of up to 50,000 rows per request, and preserves formatting in JSON, HTML, and spreadsheets — so you don't have to rebuild structures after translation.
The API responds in under 200 milliseconds, making it suitable for real-time use in chatbots and live applications. Translation memory is included by default, meaning repeated phrases cost less and get faster over time. Fluentc provides SDKs for Python and JavaScript, and quickstarts that take minutes. It also offers native n8n nodes and pre-built templates for common workflows like multilingual support ticket triage, catalog translation, and newsletter localization.
Fluentc is designed for developers who want a straightforward, no-surprises translation API. Automation builders can plug it into no-code pipelines without writing much code. Teams evaluating translation infrastructure will appreciate the per-call pricing that scales with usage, with no hidden upsells. Use cases include translating customer support conversations, localizing product catalogs, and keeping web app content in sync across languages.
Key features
What makes it stand outWho is Fluentc for?
Who benefits most from this toolPricing
Batch
- Unlimited usage
- Rate limit: 20 calls per hour
- Background processing
- Smart memory cache
- Polling-based delivery
Real-Time
Everything in Batch, plus:
- Fast, live responses
- Token-based usage
- Real-time Results
- No Polling Needed
- Memory integration
Trust & presence
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