Sourcelane

Google Cloud Translation

AI & Media Processing

Operated by Sourcelane✓ verified

Translate a list of texts into any target language using the Google Cloud Translation API. Bulk-translate scraped content, product descriptions, reviews, or support tickets at scale.

Read full description

A bulk text translation connector that uses the Google Cloud Translation API to translate lists of strings into 130+ target languages. It produces one translation per input string while preserving input order and providing an index for joins. Key technical features include automatic source-language detection (with optional explicit source), an HTML-safe mode that preserves tags and entities during translation, smart batching to maximize throughput within API request limits, per-row error reporting so failed rows are logged without stopping the run, and character-level metering that reports character counts per input. Outputs conceptually include translated text, detected and target language identifiers, per-item character counts, and per-item success/error status and messages.

Verified Sep 28, 3:55 AM

$0.0001

per 100 characters

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

You give it

  • Textsrequired

    List of text strings to translate.

  • Target Languagerequired

    ISO 639-1 language code to translate into (e.g.

  • Source Language

    ISO 639-1 source language code.

Optional settings

Format

You get back

Text & content
Original textTranslated textDetected source languageTarget language
Numbers & stats
Character count
Other details
Index

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-cloud-translation","params":{"texts":["Hello, world","How are you today?","The quick brown fox jumps over the lazy dog"],"target":"es"},"maxResults":10}'

Request params

FieldTypeRequiredDescription
textsarrayrequiredList of text strings to translate. Each entry is translated independently.
targetstringrequiredISO 639-1 language code to translate into (e.g. 'es', 'fr', 'de', 'ja', 'zh-CN'). See https://cloud.google.com/translate/docs/languages.
sourcestringoptionalISO 639-1 source language code. Leave empty to let Google auto-detect the source language for each text.
formatstringoptionalHow the input texts should be interpreted. Use 'html' to preserve HTML markup during translation.

Each result contains

FieldTypeDescription
indexintegerIndex
originalTextstringOriginal Text
translatedTextstringTranslated Text
detectedSourceLanguagestringDetected Source Language
targetLanguagestringTarget Language
characterCountintegerCharacter Count
statusstringStatus
errornull—

Use Google Cloud Translation from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Transcribe this video and give me timestamps for every product mention: <url>”

Connect Claude

Web, desktop and mobile. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json
{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json
{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json
{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL
https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-cloud-translation","params":{"texts":["Hello, world","How are you today?","The quick brown fox jumps over the lazy dog"],"target":"es"},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python
import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "google-cloud-translation",
        "params": {"texts":["Hello, world","How are you today?","The quick brown fox jumps over the lazy dog"],"target":"es"},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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