Media
将TIFF图像转换为压缩TIFF格式,支持多种压缩方法和优化设置
用三种语言从你的代码中调用此工具。
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/tiff-to-compressed-tiff' \
-F 'file=@/path/to/imageFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/tiff-to-compressed-tiff' \
-F 'imageFile=/path/to/file.ext' \
-F 'compression=lzw' \
-F 'quality=80' \
-F 'predictor=horizontal' \
-F 'tiling=false' \
-F 'tileWidth=256' \
-F 'tileHeight=256' \
-F 'pyramid=false' \
-F 'keepMetadata=false'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/tiff-to-compressed-tiff| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| imageFile | file需先上传 | 是 | — |
| compression | select | 否 | — |
| quality | range | 否 | 有损压缩质量 (1-100, 越高=质量越好) |
| predictor | select | 否 | — |
| tiling | checkbox | 否 | 使用分块TIFF格式以提高内存效率 |
| tileWidth |
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-tiff-to-compressed-tiff": {
"name": "tiff-to-compressed-tiff",
"description": "将TIFF图像转换为压缩TIFF格式,支持多种压缩方法和优化设置",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=tiff-to-compressed-tiff",
"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": "tiff-to-compressed-tiff",
"arguments": {
"imageFile": "https://example.com/file.ext",
"compression": "lzw",
"quality": 80,
"predictor": "horizontal",
"tiling": false,
"tileWidth": 256,
"tileHeight": 256,
"pyramid": false,
"keepMetadata": false
}
}
}| number |
| 否 |
| 分块宽度像素 (仅在启用分块时) |
| tileHeight | number | 否 | 分块高度像素 (仅在启用分块时) |
| pyramid | checkbox | 否 | 创建多分辨率图像金字塔 |
| keepMetadata | checkbox | 否 | 保留原始图像元数据 (EXIF, IPTC, XMP) |
文件结果
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}有问题或反馈?请联系 [email protected]