Media
把两份单语字幕(SRT 或 WebVTT)合并成一条双语轨——主语言在上、副语言在下——按时间重叠或 cue 序号对齐。
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/bilingual-subtitle-merger' \
-H 'Content-Type: application/json' \
-d '{"primaryText":"1\n00:00:01,000 --> 00:00:03,000\n你好,世界\n\n2\n00:00:04,000 --> 00:00:06,000\n今天天气很好\n\n3\n00:00:08,000 --> 00:00:10,000\n再见","secondaryText":"1\n00:00:01,100 --> 00:00:03,100\nHello, world\n\n2\n00:00:04,000 --> 00:00:06,200\nThe weather is nice today\n\n3\n00:00:08,200 --> 00:00:10,000\nGoodbye","alignmentMode":"overlap","timingSource":"primary","maxGapMs":500,"outputFormat":"srt"}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/bilingual-subtitle-merger| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| primaryText | textarea | 是 | — |
| secondaryText | textarea | 是 | — |
| alignmentMode | select | 否 | — |
| timingSource | select | 否 | — |
| maxGapMs | number | 否 | — |
| outputFormat | select |
将此工具加入你的 Model Context Protocol 服务,让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置:
{
"mcpServers": {
"elysiatools-bilingual-subtitle-merger": {
"name": "bilingual-subtitle-merger",
"description": "把两份单语字幕(SRT 或 WebVTT)合并成一条双语轨——主语言在上、副语言在下——按时间重叠或 cue 序号对齐。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=bilingual-subtitle-merger",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后,列出已开放的工具:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用,参数由其参数表构建:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "bilingual-subtitle-merger",
"arguments": {
"primaryText": "1\n00:00:01,000 --> 00:00:03,000\n你好,世界\n\n2\n00:00:04,000 --> 00:00:06,000\n今天天气很好\n\n3\n00:00:08,000 --> 00:00:10,000\n再见",
"secondaryText": "1\n00:00:01,100 --> 00:00:03,100\nHello, world\n\n2\n00:00:04,000 --> 00:00:06,200\nThe weather is nice today\n\n3\n00:00:08,200 --> 00:00:10,000\nGoodbye",
"alignmentMode": "overlap",
"timingSource": "primary",
"maxGapMs": 500,
"outputFormat": "srt"
}
}
}有问题或反馈?请联系 [email protected]
| 否 |
| — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}