Tanod Docs PDF Watermark

x402

Tanod Docs PDF Watermark is a paid API for AI agents from docs.tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-13).

Stamps text watermarks onto PDF pages with configurable font, color, opacity, angle, position, and layer options

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Documents: DOCX template fill, Office to PDF, any file to Markdown, PDF to Word, OCR, PDF pipeline.

Output

Returns a JSON object with the watermarked PDF either as an inline base64-encoded file (including name, byte size, page count, content_type) or as a temporary download URL valid for 24 hours (with url, expires_at, bytes, content_type, sha256). Also includes metadata: operation type, input byte size, input page count, output byte size, stamped page count, and a flag indicating if untrusted content was removed.

Example use cases

Mark legal documents as draft

“Take this PDF contract at https://mybusiness.com/docs/contract_v1.pdf and stamp 'DRAFT' diagonally across every page in grey at 30% opacity using helvetica-bold font, on top of the content.”

Brand outgoing PDF reports

“Add a light watermark that says 'Acme Corp — Confidential' to this PDF — put it in the center of each page, angled at 45 degrees, in blue (#0000FF) at 20% opacity, and give me back a download link valid for 24 hours.”

Protect sensitive pages selectively

“I need to watermark only pages 1, 3, and 5 of this PDF at https://storage.example.com/sensitive_report.pdf with the text 'NOT FOR DISTRIBUTION' in red (#FF0000) at 60% opacity, positioned at the bottom-center, and return the result as base64.”

Technical details

Endpoint

POSThttps://docs.tanod.dev/v1/pdf/watermark?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to programmatically add text watermarks to PDFs with fine-grained control over font, color, opacity, angle, position, and which pages are stamped. It is ideal for marking documents as confidential, draft, or branded before distribution. Prefer this over general-purpose PDF editors when you need a pay-per-call API with no subscription, support for both URL-hosted and base64-encoded PDF inputs, and the option to receive output as either inline base64 or a short-lived download URL to keep responses compact.

Side effects

PDF URL is inaccessible, private, or exceeds 20 MB — returns error
PDF URL points to an internal/IP-literal host — refused for security
Watermark text exceeds 200 characters — validation error
Color value does not match #rrggbb hex pattern — validation error
Opacity outside 0.05–1 range — validation error
Neither url nor pdf_base64 provided — missing input error
Page range string contains invalid characters — validation error
Font value not in allowed enum — validation error

Input

Schema · Request body

Field	Type	Description
url	—	Public http(s) URL of the PDF (at most 20 MB; private, internal and IP-literal hosts are refused); or use pdf_base64.
font	string	Built-in PDF font: helvetica, helvetica-bold (default), times, times-bold, courier or courier-bold.
text	string	Windows-1252 (Latin) text, drawn with a built-in PDF font.
angle	number	Counter-clockwise degrees.
color	string	Text colour as #rrggbb (default #808080, grey).
layer	string	over (default: on top of the page content) or under (behind it; hidden where the page is opaque).
pages	—	Pages to stamp (default all).
margin	number	Points from the edge for non-center positions.
output	string	base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window.
opacity	number	0.05 (faint) to 1 (opaque); default 0.3.
position	string	center (default), top-left, top-center, top-right, middle-left, middle-right, bottom-left, bottom-center or bottom-right.
font_size	number	Points (6-300, default 48).
pdf_base64	—	The PDF as base64 (at most 10 MB decoded per request); or use url.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "file": {
      "name": "watermarked.pdf",
      "bytes": 13676,
      "pages": 1,
      "data_base64": "JVBERi0xLjQKJb/3... (trimmed: 18,236 base64 characters in the reply)",
      "content_type": "application/pdf"
    },
    "operation": "watermark",
    "input_bytes": 13264,
    "input_pages": 1,
    "output_bytes": 13676,
    "stamped_pages": 1,
    "untrusted_content": true,
    "active_content_removed": {}
  }
}

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