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PDF Denoise

Remove visual noise from scanned PDF pages — salt-and-pepper speckle, random grain, and faint background haze — using real image-processing algorithms. Text pages are preserved as searchable vector content.

file· File 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-denoise' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"sourceFile.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-denoise' \
  -F 'sourceFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'mode=auto' \
  -F 'strength=2' \
  -F 'rasterizeText=false' \
  -F 'pageRange='

© 2026 Elysia Tools. Developer documentation.

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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-denoise

Parameters

NameTypeRequiredDescription
sourceFilefileupload requiredYes—
modeselectYesAuto: balanced median + despeckle (preserves tone). Median: best for salt-and-pepper/impulse noise. Binarize: Otsu threshold turns faint backgrounds white and text solid black.
strengthnumberNoNumber of 3x3 median filter passes (1–3). Higher = stronger noise removal but more softening. Ignored in Binarize mode.
rasterizeTextselectNoBy default text pages are preserved as searchable vector content (not denoised). Enable this only for OCR'd scans whose underlying image is noisy, accepting loss of text selectability.
pageRangetextNoSpecify pages to denoise (e.g., 1-3,5,7-9). Leave blank to process all pages.
File-type parameters must be uploaded first via POST /upload/pdf-denoise, then the returned filePath is passed to the corresponding file field.

Response format

File result

JSON
{
  "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)"
}

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-denoise": {
      "name": "pdf-denoise",
      "description": "Remove visual noise from scanned PDF pages — salt-and-pepper speckle, random grain, and faint background haze — using real image-processing algorithms. Text pages are preserved as searchable vector content.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=pdf-denoise",
      "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-denoise",
    "arguments": {
  "sourceFile": "https://example.com/file.ext",
  "mode": "auto",
  "strength": 2,
  "rasterizeText": "false",
  "pageRange": ""
}
  }
}
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]

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