FLUENTC

The AI Translation Layer Built for Agents, Workflows, and Automation

Real-time and batch translation APIs designed for AI agents, LLMs, n8n, and your automation stack.

Built for Speed, Scale, and Simplicity

Real-Time Translation

Instant results for chatbots, co-pilots, and LLM tools

Unlimited Batch Mode

Translate large volumes at flat monthly rates

Smart Memory Built-In

Avoid retranslation costs with automatic caching

Agent-Ready APIs

Plug into LangChain, n8n, and OpenAI workflows

How FluentC Powers Your Multilingual AI

  • Agent sends a batch or real-time translation request

  • FluentC detects language, applies caching, and routes

  • For batch: You poll or receive webhook

  • Response returned to your agent in seconds

Use FluentC In Your Stack

  • AI Agents
  • Automation Tools
  • Content Translation
  • Support Chat & Live Agents

what makes FluentC different for AI Agents

LangChain, OpenAI Functions, Copilots

API Requests

				
					POST /translate
{
  "mode": "batch",
  "text": "Hello, how are you?",
  "target_language": "fr",
  "source_language": "auto",          // optional
  "callback_url": "https://my-agent.com/translation-complete" // optional
}
				
			
				
					RESPONSE
{
  "job_id": "abc123",
  "status": "queued",
  "mode": "batch",
  "estimated_time_sec": 10
}
				
			

Polling Response

				
					GET /translate/status?job_id=abc123
{
  "job_id": "abc123",
  "status": "complete",
  "translated_text": "Bonjour, comment ça va ?",
  "source_language": "en",
  "target_language": "fr",
  "meta": {
    "processing_time_ms": 534,
    "cached": true
  }
}
				
			

what makes FluentC different for n8n, make and zapier

n8n, Make, Zapier

Drop and Drag Ready Translations

n8n and Make integration is a simple as selecting the FluentC plugin and connecting.

Example Code

				
					packages/nodes-base/nodes/FluentC/
├── FluentC.node.ts
├── FluentC.node.json
				
			
				
						async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
		const items = this.getInputData();
		const returnData: INodeExecutionData[] = [];
				
			

what makes FluentC different for WordPRess and CMS

WordPress and CMS

WordPress

Sign up now for our best-in-class WordPress translation Plugin

JavaScript

Call FleuntC endpoints directly from JavaScript calls using popular fromwaorks like React and Vue

Custome CMS Workflow

Enable automated translation workflows directly from your CMS by translating pages as they are published

what makes FluentC different for Live Chat and

Speed and Memory

API Requests

				
					POST /translate
{
  "mode": "realtime",
  "text": "Hello, how are you?",
  "target_language": "fr",
  "source_language": "auto",          // optional
  "callback_url": "https://my-agent.com/translation-complete" // optional
}
				
			

API Response

				
					GET /translate/status?job_id=abc123
{
  "job_id": "abc123",
  "status": "complete",
  "translated_text": "Bonjour, comment ça va ?",
  "source_language": "en",
  "target_language": "fr",
  "meta": {
    "processing_time_ms": 534,
    "cached": true
  }
}
				
			

Simple, Predictable Pricing

Batch

5 $ Per Language Per Month
  •  
Most Popular

Real-Time

100 $ month for 50K tokens
  •  

Only pay for speed. Unlimited batch is included.

We'd Love To Hear From You

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