Text Processing
Quickly convert fake text containing fake characters to regular text
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-unfaker' \
-H 'Content-Type: application/json' \
-d '{"textInput":"Enter fake text to normalize...","cleanupMode":"homoglyph","removeInvisible":true,"normalizeSpaces":false,"preserveOriginal":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-unfaker| Name | Type | Required | Description |
|---|---|---|---|
| textInput | textarea | Yes | — |
| cleanupMode | select | Yes | — |
| removeInvisible | checkbox | No | — |
| normalizeSpaces | checkbox | No | — |
| preserveOriginal | 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-text-unfaker": {
"name": "text-unfaker",
"description": "Quickly convert fake text containing fake characters to regular text",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-unfaker",
"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-unfaker",
"arguments": {
"textInput": "Enter fake text to normalize...",
"cleanupMode": "homoglyph",
"removeInvisible": true,
"normalizeSpaces": false,
"preserveOriginal": true
}
}
}Questions or issues? Contact [email protected]
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}