Document Tools
Extract tabular data from PDF files and convert to Excel spreadsheets with customizable parsing options
Call this tool from your code in three languages.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/pdf-to-excel' \
-F 'file=@/path/to/sourceFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/pdf-to-excel' \
-F 'sourceFile=/public/samples/pdf/table-data.pdf' \
-F 'delimiter=auto' \
-F 'hasHeader=true' \
-F 'skipEmptyRows=true' \
-F 'autoColumnWidth=true' \
-F 'sheetName=Sheet1'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/pdf-to-excel| Name | Type | Required | Description |
|---|---|---|---|
| sourceFile | fileupload required | Yes | — |
| delimiter | select | No | — |
| hasHeader | checkbox | No | — |
| skipEmptyRows | checkbox | No | — |
| autoColumnWidth | checkbox | No | — |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-pdf-to-excel": {
"name": "pdf-to-excel",
"description": "Extract tabular data from PDF files and convert to Excel spreadsheets with customizable parsing options",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=pdf-to-excel",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "pdf-to-excel",
"arguments": {
"sourceFile": "/public/samples/pdf/table-data.pdf",
"delimiter": "auto",
"hasHeader": true,
"skipEmptyRows": true,
"autoColumnWidth": true,
"sheetName": "Sheet1"
}
}
}| sheetName | text | No | — |
File result
{
"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)"
}Questions or issues? Contact [email protected]