Text Processing
Inspect text encoding, BOM, newline style and mojibake symptoms, then produce a scored local repair candidate.
Call this tool from your code in three languages.
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/text-encoding-forensics-and-repair' \
-H 'Content-Type: application/json' \
-d '{"filename":"file.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-encoding-forensics-and-repair' \
-F 'textInput=Café déjà vu' \
-F 'file=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'sourceEncoding=auto' \
-F 'repairMode=auto' \
-F 'newlineMode=preserve' \
-F 'removeBom=true'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/text-encoding-forensics-and-repair| Name | Type | Required | Description |
|---|---|---|---|
| textInput | textarea | No | — |
| file | fileupload required | No | — |
| sourceEncoding | select | No | — |
| repairMode | select | No | — |
| newlineMode | select | No | — |
| removeBom | checkbox | No | — |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}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-text-encoding-forensics-and-repair": {
"name": "text-encoding-forensics-and-repair",
"description": "Inspect text encoding, BOM, newline style and mojibake symptoms, then produce a scored local repair candidate.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-encoding-forensics-and-repair",
"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": "text-encoding-forensics-and-repair",
"arguments": {
"textInput": "Café déjà vu",
"file": "https://example.com/file.ext",
"sourceEncoding": "auto",
"repairMode": "auto",
"newlineMode": "preserve",
"removeBom": true
}
}
}Questions or issues? Contact [email protected]