Document Tools

PDF Text Extractor

Extract text content from PDF documents with support for page selection, formatting options, and multi-language processing

text· Text resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/pdf-text-extractor' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"pdfFile.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/pdf-text-extractor' \
  -F 'pdfFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'pageRange=e.g., 1-5 or 3 or 1,3,5' \
  -F 'outputFormat=plain' \
  -F 'preserveFormatting=true' \
  -F 'removeExtraWhitespace=false' \
  -F 'includeLineNumbers=false' \
  -F 'encoding=utf-8'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST https://api.elysiatools.com/en/api/tools/pdf-text-extractor

Parameters

Name	Type	Required	Description
pdfFile	fileupload required	Yes	Supports PDF files up to 100MB
pageRange	text	No	Specify pages to extract (1-5 for range, 3 for single page, 1,3,5 for multiple). Leave empty for all pages.
outputFormat	select	No	—
preserveFormatting	checkbox	No	Keep original layout, spacing, and formatting as much as possible
removeExtraWhitespace	checkbox	No	Clean up excessive spaces and line breaks
includeLineNumbers	checkbox	No	Add line numbers to the extracted text
encoding	select	No	—

File-type parameters must be uploaded first via POST /upload/pdf-text-extractor, then the returned filePath is passed to the corresponding file field.

Response format

Text result

JSON

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-pdf-text-extractor": {
      "name": "pdf-text-extractor",
      "description": "Extract text content from PDF documents with support for page selection, formatting options, and multi-language processing",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=pdf-text-extractor",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "pdf-text-extractor",
    "arguments": {
  "pdfFile": "https://example.com/file.ext",
  "pageRange": "e.g., 1-5 or 3 or 1,3,5",
  "outputFormat": "plain",
  "preserveFormatting": true,
  "removeExtraWhitespace": false,
  "includeLineNumbers": false,
  "encoding": "utf-8"
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]