DeepLX

汉语

DeepLX is a serverless translation service optimized for Cloudflare Workers. Through intelligent proxy endpoint rotation, advanced rate limiting algorithms, caching, and circuit breakers, it avoids HTTP 429 errors more effectively than traditional translation API setups while delivering lower latency. It supports both DeepL and Google Translate.

Note

Unlike paid translation APIs, DeepLX is completely free to use. There are no API keys, subscription fees, or usage-based charges.

Why DeepLX

Unlike paid translation APIs, DeepLX is completely free to use - no API keys, no subscription fees, no usage limits. Simply deploy once and enjoy unlimited translation requests without any cost concerns.

Features & Performance Advantages

Multi-Provider Support

• DeepL Translation (/deepl) - High-quality translation with advanced AI
• Google Translate (/google) - Wide language support and fast processing
• Legacy Compatibility (/translate) - Backward compatible endpoint using DeepL

Performance Advantages

DeepLX has significant improvements in performance and stability compared to the DeepL API. Here are key metric comparisons based on specific network environments:

Metric	DeepL API	DeepLX (Pre-deployed Instance)
Rate Limit	50 requests/sec	80 requests/sec (8 req/sec × 10 proxy endpoints)
Average Network RTT	~450ms	~180ms (edge network acceleration)
HTTP 429 Error Rate	10-30%	<1%
Concurrent Support	Single endpoint limit	Multi-endpoint load balancing
Geographic Distribution	Limited	330+ global edge nodes

Core Performance Features

• Higher Rate Limits: Intelligent load balancing supports higher concurrent requests than DeepL API
• Lower Latency: Global edge network deployment based on Cloudflare Workers
• Zero Cold Start: Serverless architecture with instant response
• Intelligent Caching: Dual-layer caching system (memory + KV storage) reduces duplicate requests

Technical Advantages

• Intelligent Load Balancing: Multiple proxy endpoints automatically distribute requests
• Dynamic Rate Limiting Algorithm: Automatically adjusts rate limits based on proxy count
• Dual-layer Caching System: Memory cache + KV storage reduces duplicate requests
• Circuit Breaker Mechanism: Automatic failover for failed endpoints ensures service continuity
• Edge Computing: Global deployment on Cloudflare Workers reduces latency

Stability Guarantees

• Avoid HTTP 429 Errors: Almost completely avoids rate limiting through proxy endpoint rotation and token bucket algorithm
• Circuit Breaker Mechanism: Automatically detects failed endpoints and performs failover
• Exponential Backoff Retry: Intelligent retry mechanism improves success rate

Security Features

• Input Validation: Comprehensive parameter validation and text sanitization
• Rate Limiting: Multi-dimensional rate limiting based on client IP and proxy endpoints
• CORS Support: Flexible cross-origin resource sharing configuration
• Security Headers: Automatically adds security-related HTTP headers
• Error Sanitization: Sensitive information is never exposed

Architecture Overview

graph TB
    %% Client Layer
    subgraph "Client Layer"
        APIClient[API Client]
    end

    %% Cloudflare Workers Layer
    subgraph "Cloudflare Workers"
        direction TB
        Router[Hono Router]
        
        subgraph "API Endpoints"
            DeepL[POST /deepl]
            Google[POST /google]
            Translate[POST /translate]
            Debug[POST /debug]
        end
        
        subgraph "Core Middleware & Components"
            CORS[CORS Handler]
            Security[Security Middleware]
            RateLimit[Rate Limiting System]
            Cache[Dual-layer Cache<br/>Memory + KV]
        end
        
        subgraph "Translation Services"
            QueryEngine[DeepL Query Engine]
            GoogleService[Google Translate Service]
        end
        
        subgraph "Support Systems"
            ProxyManager[Proxy Manager<br/>& Load Balancer]
            CircuitBreaker[Circuit Breaker]
            RetryLogic[Retry Logic]
            ErrorHandler[Error Handler]
        end
    end

    %% Storage Layer
    subgraph "Cloudflare Storage"
        CacheKV[(Cache KV<br/>Translation Results)]
        RateLimitKV[(Rate Limit KV<br/>Token Buckets)]
        Analytics[(Analytics Engine<br/>Metrics & Monitoring)]
    end

    %% External Services
    subgraph "External Translation APIs"
        DeepLAPI[DeepL JSONRPC API<br/>www2.deepl.com]
        GoogleAPI[Google Translate API<br/>translate.google.com]
        XDPL[XDPL Proxy Cluster<br/>Multiple Vercel Instances]
    end

    %% Request Flow Connections
    APIClient --> Router
    Router --> CORS
    CORS --> DeepL
    CORS --> Google
    CORS --> Translate
    CORS --> Debug
    
    DeepL --> Security
    Google --> Security
    Translate --> Security
    Debug --> Security
    
    Security --> RateLimit
    RateLimit --> Cache
    
    Cache --> QueryEngine
    Cache --> GoogleService
    
    QueryEngine --> ProxyManager
    GoogleService --> GoogleAPI
    
    ProxyManager --> CircuitBreaker
    CircuitBreaker --> RetryLogic
    RetryLogic --> ErrorHandler
    
    %% External API Connections
    ProxyManager -.-> XDPL
    XDPL -.-> DeepLAPI
    
    %% Storage Connections
    Cache -.-> CacheKV
    RateLimit -.-> RateLimitKV
    Router -.-> Analytics

    %% Styles
    classDef clientClass fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
    classDef workerClass fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
    classDef middlewareClass fill:#e8f5e8,stroke:#388e3c,stroke-width:2px
    classDef serviceClass fill:#fff3e0,stroke:#f57c00,stroke-width:2px
    classDef storageClass fill:#fce4ec,stroke:#e91e63,stroke-width:2px
    classDef externalClass fill:#ffebee,stroke:#d32f2f,stroke-width:2px

    class APIClient clientClass
    class Router,DeepL,Google,Translate,Debug workerClass
    class CORS,Security,RateLimit,Cache middlewareClass
    class QueryEngine,GoogleService,ProxyManager,CircuitBreaker,RetryLogic,ErrorHandler serviceClass
    class CacheKV,RateLimitKV,Analytics storageClass
    class DeepLAPI,GoogleAPI,XDPL externalClass

Hosted Service

Warning

The pre-deployed instance has been temporarily suspended due to excessive requests. Please self-deploy to continue using the service.

Pre-deployed Instance: https://dplx.xi-xu.me (Temporarily Suspended)

Quick Start

cURL Examples

DeepL Translation (Recommended)

curl -X POST https://dplx.xi-xu.me/deepl \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, world!",
    "source_lang": "EN",
    "target_lang": "ZH"
  }'

Google Translate

curl -X POST https://dplx.xi-xu.me/google \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, world!",
    "source_lang": "EN",
    "target_lang": "ZH"
  }'

Legacy Endpoint (DeepL)

curl -X POST https://dplx.xi-xu.me/translate \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, world!",
    "source_lang": "EN",
    "target_lang": "ZH"
  }'

JavaScript Examples

DeepL Translation (JavaScript)

async function translateWithDeepL(text, sourceLang = 'auto', targetLang = 'zh') {
  const response = await fetch('https://dplx.xi-xu.me/deepl', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      text: text,
      source_lang: sourceLang,
      target_lang: targetLang
    })
  });
  
  const result = await response.json();
  return result.data;
}

// Usage example
translateWithDeepL('Hello, world!', 'en', 'zh')
  .then(result => console.log(result))
  .catch(error => console.error(error));

Google Translate (JavaScript)

async function translateWithGoogle(text, sourceLang = 'auto', targetLang = 'zh') {
  const response = await fetch('https://dplx.xi-xu.me/google', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      text: text,
      source_lang: sourceLang,
      target_lang: targetLang
    })
  });
  
  const result = await response.json();
  return result.data;
}

// Usage example
translateWithGoogle('Hello, world!', 'en', 'zh')
  .then(result => console.log(result))
  .catch(error => console.error(error));

Python Examples

DeepL Translation (Python)

import requests
import json

def translate_with_deepl(text, source_lang='auto', target_lang='zh'):
    url = 'https://dplx.xi-xu.me/deepl'
    data = {
        'text': text,
        'source_lang': source_lang,
        'target_lang': target_lang
    }
    
    response = requests.post(url, json=data)
    result = response.json()
    
    if result['code'] == 200:
        return result['data']
    else:
        raise Exception(f"Translation failed: {result.get('message', 'Unknown error')}")

# Usage example
try:
    result = translate_with_deepl('Hello, world!', 'en', 'zh')
    print(result)
except Exception as e:
    print(f"Error: {e}")

Google Translate (Python)

import requests
import json

def translate_with_google(text, source_lang='auto', target_lang='zh'):
    url = 'https://dplx.xi-xu.me/google'
    data = {
        'text': text,
        'source_lang': source_lang,
        'target_lang': target_lang
    }
    
    response = requests.post(url, json=data)
    result = response.json()
    
    if result['code'] == 200:
        return result['data']
    else:
        raise Exception(f"Translation failed: {result.get('message', 'Unknown error')}")

# Usage example
try:
    result = translate_with_google('Hello, world!', 'en', 'zh')
    print(result)
except Exception as e:
    print(f"Error: {e}")

Client Integrations

Configure API clients to use the pre-deployed instance:

DeepLX App (Open-source web app)

A modern, free web-based translation app powered by the DeepLX API. Features include:

• Multi-language auto-detection support
• Real-time translation as you type
• Translation history and language switching
• Responsive design for all devices
• RTL language support

Live Demo: https://deeplx.xi-xu.me

Pot (Open-source cross-platform Windows, macOS, and Linux app)

1. Download and install Pot for your platform
2. Open Pot settings and navigate to Service Settings
3. Configure the DeepL service type as DeepLX and set the custom URL to https://dplx.xi-xu.me/deepl

Zotero (Open-source reference management app)

1. Download and install Zotero for your platform
2. Download and install the Translate for Zotero plugin
3. Open Zotero settings and navigate to the Services section under Translation
4. Configure the translation service as DeepLX (API) and set the endpoint to https://dplx.xi-xu.me/deepl after clicking the config button

PDFMathTranslate (pdf2zh) (Open-source PDF document translation tool)

Refer to Advanced Options and Translate with different services.

Immersive Translate (Closed-source browser extension)

1. Install Immersive Translate
2. Go to developer settings and enable beta testing features
3. Go to translation services and add a custom translation service DeepLX, configure the API URL to https://dplx.xi-xu.me/deepl
4. Configure the maximum requests per second and maximum text length per request to appropriate values (e.g., 80 and 5000) to ensure stability and performance

Bob (Closed-source macOS app)

1. Download and install Bob from the Mac App Store
2. Download and install the bob-plugin-deeplx plugin
3. Configure the plugin to use https://dplx.xi-xu.me/deepl

Self-Deployment

Prerequisites

• Node.js 18+
• Cloudflare Workers account
• Wrangler CLI

1. Clone Repository

git clone https://github.com/xixu-me/DeepLX.git
cd DeepLX

2. Install Dependencies

npm install

3. Configure Environment

Edit the wrangler.jsonc file and update the following configuration:

{
  "account_id": "YOUR_CLOUDFLARE_ACCOUNT_ID",
  "name": "YOUR_WORKER_NAME",
  "vars": {
    "DEBUG_MODE": "false",
    "PROXY_URLS": "your_proxy_endpoint_list,comma_separated"
  }
}

4. Create KV Namespaces

# Create cache KV namespace
npx wrangler kv namespace create "CACHE_KV"

# Create rate limit KV namespace  
npx wrangler kv namespace create "RATE_LIMIT_KV"

Update the returned namespace IDs to the kv_namespaces configuration in wrangler.jsonc.

5. Deploy to Cloudflare Workers

# Development environment
npx wrangler dev

# Production deployment
npx wrangler deploy

Proxy Endpoint Deployment

For optimal performance and stability, it's recommended to deploy as many XDPL proxy endpoints as possible:

Quick Deploy XDPL

Configure Proxy Endpoints

1. Deploy multiple XDPL instances
2. Add the deployed URLs to DeepLX's PROXY_URLS environment variable:

{
  "vars": {
    "PROXY_URLS": "https://your-xdpl-1.vercel.app/jsonrpc,https://your-xdpl-2.vercel.app/jsonrpc,https://your-xdpl-3.vercel.app/jsonrpc,https://your-xdpl-n.vercel.app/jsonrpc"
  }
}

API Reference

Available Endpoints

Endpoint	Provider	Description	Status
/deepl	DeepL	Primary DeepL translation endpoint	Recommended
/google	Google Translate	Google Translate endpoint	Active
/translate	DeepL	Legacy endpoint (uses DeepL)	Legacy

/deepl (Recommended)

Request Method: POST

Request Headers: Content-Type: application/json

Request Parameters:

Parameter	Type	Description	Required
text	string	Text to translate	Yes
source_lang	string	Source language code	No, default AUTO
target_lang	string	Target language code	No, default EN

Response:

{
  "code": 200,
  "data": "Translation result",
  "id": "Random identifier",
  "source_lang": "Detected source language code",
  "target_lang": "Target language code"
}

/google

Request Method: POST

Request Headers: Content-Type: application/json

Request Parameters:

Parameter	Type	Description	Required
text	string	Text to translate	Yes
source_lang	string	Source language code	No, default AUTO
target_lang	string	Target language code	No, default EN

Response:

{
  "code": 200,
  "data": "Translation result",
  "id": "Random identifier",
  "source_lang": "Detected source language code",
  "target_lang": "Target language code"
}

/translate (Legacy)

Request Method: POST

Request Headers: Content-Type: application/json

Note

This is a legacy endpoint that uses DeepL. For new integrations, please use /deepl instead.

Request Parameters:

Parameter	Type	Description	Required
text	string	Text to translate	Yes
source_lang	string	Source language code	No, default AUTO
target_lang	string	Target language code	No, default EN

Response:

{
  "code": 200,
  "data": "Translation result",
  "id": "Random identifier",
  "source_lang": "Detected source language code",
  "target_lang": "Target language code"
}

Supported Language Codes:

• AUTO - Auto-detect (source language only)
• AR - Arabic
• BG - Bulgarian
• CS - Czech
• DA - Danish
• DE - German
• EL - Greek
• EN - English
• ES - Spanish
• ET - Estonian
• FI - Finnish
• FR - French
• HE - Hebrew
• HU - Hungarian
• ID - Indonesian
• IT - Italian
• JA - Japanese
• KO - Korean
• LT - Lithuanian
• LV - Latvian
• NB - Norwegian Bokmål
• NL - Dutch
• PL - Polish
• PT - Portuguese
• RO - Romanian
• RU - Russian
• SK - Slovak
• SL - Slovenian
• SV - Swedish
• TH - Thai
• TR - Turkish
• UK - Ukrainian
• VI - Vietnamese
• ZH - Chinese

For the latest language support list, please refer to Languages supported - DeepL Documentation.

/debug (Only available when DEBUG_MODE=true)

Request Method: POST

Used to verify request format and troubleshoot issues.

Error Codes

Code	Description
200	Translation successful
400	Request parameter error
429	Request rate too high
500	Internal server error
503	Service temporarily unavailable

Configuration

Environment Variables

Variable	Description	Default
DEBUG_MODE	Debug mode switch	false
PROXY_URLS	Proxy endpoint list, comma-separated	None

Performance Configuration

Can be adjusted in src/lib/config.ts:

// Request timeout
export const REQUEST_TIMEOUT = 10000; // 10 seconds

// Retry configuration
export const DEFAULT_RETRY_CONFIG = {
  maxRetries: 3,              // Maximum retry attempts
  initialDelay: 1000,         // Initial delay
  backoffFactor: 2,          // Backoff factor
};

// Rate limit configuration
export const RATE_LIMIT_CONFIG = {
  PROXY_TOKENS_PER_SECOND: 8,    // Tokens per proxy per second
  PROXY_MAX_TOKENS: 16,          // Maximum tokens per proxy
  BASE_TOKENS_PER_MINUTE: 480,   // Base tokens per minute
};

// Payload limits
export const PAYLOAD_LIMITS = {
  MAX_TEXT_LENGTH: 5000,         // Maximum text length
  MAX_REQUEST_SIZE: 32768,       // Maximum request size
};

Development

Command	Description
npm run dev	Start local development with Wrangler
npm run deploy	Deploy to Cloudflare Workers
npm run cf-typegen	Generate Cloudflare Workers types
npm run lint	Run TypeScript type checking
npm test	Run the full test suite

Testing

# Run all tests
npm test

# Run unit tests
npm run test:unit

# Run integration tests
npm run test:integration

# Run performance tests
npm run test:performance

# Generate coverage report
npm run test:coverage

Troubleshooting

Common Issues

1. HTTP 429 errors still occur frequently

• Check if proxy endpoint configuration is correct
• Increase the number of proxy endpoints
• Adjust rate limiting configuration

2. Translation results are inaccurate

• Confirm source language detection is correct
• Check if text encoding is correct
• Verify language code format

3. Deployment fails

• Check Cloudflare account configuration
• Verify KV namespaces are created
• Confirm wrangler.jsonc configuration is correct

Debug Mode

Enable debug mode for detailed information:

{
  "vars": {
    "DEBUG_MODE": "true"
  }
}

Then use the debug endpoint:

curl -X POST https://your-domain.workers.dev/debug \
  -H "Content-Type: application/json" \
  -d '{"text": "test", "source_lang": "EN", "target_lang": "ZH"}'

Project Information

Acknowledgments

• OwO-Network/DeepLX - Original implementation based on Go programming language
• Cloudflare Workers - Hosting platform
• Hono - Fast web framework
• XDPL - Proxy endpoint solution

Get Involved

We welcome all forms of contributions! Please check the Contributing Guide to learn how to participate in repository development.

1. Report Issues: Use issue templates to report bugs or request features
2. Submit Code: Fork the repository, create feature branches, submit pull requests
3. Improve Documentation: Fix errors, add examples, improve descriptions
4. Test Feedback: Test in different environments and provide feedback

For repository workflow details, see CONTRIBUTING.md.

Star History

Contact

• Author: Xi Xu
• Email: Contact Email
• Sponsor: Sponsor Link

Disclaimer

This repository is for learning and research purposes only. When using this repository, please comply with the following terms:

Terms of Use

1. Compliant Use: Users are responsible for ensuring that use of this repository complies with local laws and regulations and relevant terms of service
2. Commercial Use: Before commercial use, please confirm compliance with DeepL's terms of service and usage policies
3. Service Stability: This repository relies on third-party services and does not guarantee 100% service availability
4. Data Privacy: Translation content is processed through third-party services, please do not translate sensitive or confidential information

Limitation of Liability

• The author is not responsible for any direct or indirect losses caused by using this repository
• Users should bear the risks of use, including but not limited to service interruption, data loss, etc.
• This repository provides no warranty of any kind, including merchantability, fitness for a particular purpose, etc.

Terms of Service

By using this repository, you agree to:

• Not use this repository for any illegal or harmful purposes
• Not abuse the service or conduct malicious attacks
• Follow reasonable use principles and avoid excessive load on the service

Please use this repository only after fully understanding and agreeing to the above terms.

Project Notes

This repository is licensed under the MIT License - see the LICENSE file for details.

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Made with ❤️ by Xi Xu