Multimodal AI

Image Translation API MCP

Translate image text from a source language to a target language for ecommerce localization. Call it via REST API or MCP, or try it in the online playground.

CostEst. 47–57 credits / callOnline Test

Image Translation API AI Prompts & Use Cases

After connecting this MCP tool to your AI assistant, you can ask the questions below. Replace bracketed placeholders with your own inputs and use the supported values in Arguments.

New to Nexscope MCP? Follow the connection guide, then use the prompts below. The Integration and Parameters & Response tabs contain the connection steps, call example, and technical reference.

1. Translate Text In An Image

Prompt: Translate the text in [image] from [supported source language] to [supported target language] using [DeepL or ChatGPT]. Preserve the image context.

2. Compare Translation Providers On One Image

Prompt: Translate [image] from [supported source language] to [supported target language] once with DeepL and once with ChatGPT, using two separate requests. Compare the completed images for visible wording differences, text clipping and layout changes. Flag uncertain translation choices for a fluent reviewer; do not claim automatic accuracy scoring or a shared conversation between requests.

3. Prepare A Two-Language Listing Image Set

Prompt: Translate [the same listing image] from [supported source language] into [supported target language A] and [supported target language B] using [DeepL or ChatGPT]. Submit exactly two separate requests and label each completed image with its target language. Preserve the original for comparison and flag untranslated or clipped text instead of claiming a single multilingual batch operation.

What You Need to Provide

Provide assets you may use and that meet this tool’s documented file, dimension and count limits.

A pending task is not a completed image, video or text result. Retrieve the existing task rather than submitting a duplicate.

Step 1 · Connect

Connect Your AI Assistant

Connect a compatible MCP client to Nexscope, then select this tool from your assistant. Use the connection settings in your client to complete authentication.

POST https://api.nexscope.ai/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/json

Authentication

Use OAuth 2.1 Authorization Code with PKCE and the mcp:tools scope. API keys remain supported as a compatibility option.

Authorization: Bearer nk-xxxxxxxxxxxxxxxxx

Using an API key? Get your key from API Access and include it in the Authorization header shown above.

Call this MCP tool

MCP tool name

nexscope_image_translation

MCP endpoint

https://api.nexscope.ai/mcp

JSON-RPC method

tools/call

Initialize an MCP 2025-11-25 Streamable HTTP session at https://api.nexscope.ai/mcp, then use tools/call.

{
  "jsonrpc": "2.0",
  "id": "image-translation-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_image_translation",
    "arguments": {
      "imageUrl": "https://example.com/product.jpg",
      "sourceLanguage": "CHS",
      "targetLanguage": "ENG",
      "translationPlatform": "deepl"
    }
  }
}

MCP 2025-11-25 · Streamable HTTP

Progress is delivered on the original POST SSE response. GET SSE carries notifications; reconnecting must query existing asynchronous work rather than submit again.

Asynchronous task workflow

1. Create once
Keep the returned taskId.
2. Query with backoff
Use nexscope_media_task_result after 5 seconds, then 10, 20, and 30 seconds.
3. Use final result
Stop at success, failure, or timeout.

{
  "jsonrpc": "2.0",
  "id": "image-translation-result-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_media_task_result",
    "arguments": {
      "skillSlug": "image-translation",
      "taskId": "TASK_ID_FROM_THE_GENERATION_RESULT"
    }
  }
}

Arguments

Name	Type	Required	Description
`imageUrl`	`string`	required	Public URL of a JPG, JPEG, PNG, or WEBP image up to 4 MB and between 385 and 3000 pixels. Example: https://example.com/product.jpg
`translationPlatform`	`string`	required	Translation platform. Available options `deepl (DeepL)` `chatgpt (ChatGPT)` Example: deepl
`sourceLanguage`	`string`	required	Source language code. Available options `CHS (Simplified Chinese)` `ENG (English)` `CHT (Traditional Chinese)` `ESP (Spanish)` `JPN (Japanese)` `KOR (Korean)` `PT (Portuguese)` `ROM (Romanian)` `RUS (Russian)` `VIN (Vietnamese)` `DEU (German)` Example: CHS
`targetLanguage`	`string`	required	Target language code. Available options `AR` `BG` `BN` `CHS` `CHT` `CKB` `CSY` `DA` `DEU` `EL` `ENG` `ESP` `ET` `FA` `FI` `FIL` `FRA` `GU` `HE` `HI` `HR` `HUN` `ID` `ITA` `JPN` `JW` `KOR` `LO` `LT` `LV` `MR` `MS` `MY` `NLD` `NO` `PLK` `PT` `PTB` `ROM` `RUS` `SK` `SL` `SV` `SW` `TA` `TE` `TG` `TH` `TL` `TRK` `UK` `UR` `VIN` Example: ENG

Response fields

Treat structuredContent as the programmatic API response payload.

Name	Type	Required	Description
`code`	`integer`	required	0 means accepted or successful; nonzero is a platform error.
`cost`	`string`	required	Elapsed milliseconds, never credits; -1 outside web requests.
`data`	`any`	required	Data value used by this API operation.
`msg`	`string \| null`	required	Msg value used by this API operation.
`time`	`string`	required	Server local time: yyyy-MM-dd HH:mm:ss.
`traceId`	`string \| null`	required	Trace id value used by this API operation.
`ts`	`string`	required	Epoch milliseconds.

Any of option 1 — requires taskId, status, result

Name	Type	Required	Description
`data`	`object`	required	Data value used by this API operation.
`data.result`	`any`	required	Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt.
`data.status`	`string`	required	Status value used by this API operation. Allowed: PENDING, RUNNING, SUCCEEDED, FAILED, TIMEOUT
`data.taskId`	`string`	required	Task id value used by this API operation.

Any of option 1

Name	Type	Required	Description
`data.result`	`object`	required	Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt.

Any of option 2

Name	Type	Required	Description
`data.result`	`null`	required	Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt.

Any of option 2

Name	Type	Required	Description
`data`	`null`	required	Data value used by this API operation.

Format Illustration

Illustrative example with fictional data, not a live tool call.

Illustrative Question

Translate the text in [image] from [supported source language] to [supported target language] using [DeepL or ChatGPT]. Preserve the image context.

Illustrative Response Explanation

The illustrative request has been accepted as task example-task and is PENDING. No completed output is available yet. Keep this task ID and check its result; do not submit the same request again just because processing has not finished.

About this sample: Illustrative format example with fictional values, not a live tool call. Replace example inputs with your own permitted assets or public identifiers.

Published sample data is not available for this page. A format illustration or workflow guide is not a substitute for a published result.

View the MCP Request & Response Format

Examples

Illustrative example with fictional data, not a live tool call.

The JSON-RPC envelope below illustrates how the shown arguments and payload fit into MCP. It is not captured network traffic or proof of a successful call. Workflow-only examples do not include a result.

MCP Request

{
  "jsonrpc": "2.0",
  "id": "image-translation-example",
  "method": "tools/call",
  "params": {
    "name": "nexscope_image_translation",
    "arguments": {
      "imageUrl": "https://example.com/product.jpg",
      "sourceLanguage": "CHS",
      "targetLanguage": "ENG",
      "translationPlatform": "deepl"
    }
  }
}

MCP Response Format

{
  "jsonrpc": "2.0",
  "id": "image-translation-example",
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\"code\":0,\"cost\":\"-1\",\"data\":{\"taskId\":\"example-task\",\"status\":\"PENDING\",\"result\":null},\"msg\":null,\"time\":\"2026-01-01 00:00:00\",\"traceId\":null,\"ts\":\"0\"}"
      }
    ],
    "structuredContent": {
      "code": 0,
      "cost": "-1",
      "data": {
        "taskId": "example-task",
        "status": "PENDING",
        "result": null
      },
      "msg": null,
      "time": "2026-01-01 00:00:00",
      "traceId": null,
      "ts": "0"
    },
    "isError": false
  }
}

Image Translation API MCP

Image Translation API AI Prompts & Use Cases

1. Translate Text In An Image

2. Compare Translation Providers On One Image

3. Prepare A Two-Language Listing Image Set

What You Need to Provide

Connect Your AI Assistant

Authentication

Call this MCP tool

Asynchronous task workflow

Arguments

Response fields

Any of option 1 — requires taskId, status, result

Any of option 1

Any of option 2

Any of option 2

Format Illustration

Illustrative Question

Illustrative Response Explanation

Examples

MCP Request

MCP Response Format

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