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Tanod pdfpeek PDF OCR
x402
Tanod pdfpeek PDF OCR is a paid API for AI agents from tanod.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Applies OCR to selected pages of a PDF (up to 10 pages, cheapest at 5 or fewer) and returns a searchable text layer plus extracted text
Price / call$0.01
Success—
StatusUnknown
How this service works
One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.
Output
Returns a searchable text layer added to the specified PDF pages, along with the recognized text extracted from those pages, enabling copy-paste and full-text search on previously image-only PDF content.
Example use cases
Digitize scanned contract pages
“I have a scanned contract at https://example.com/contract.pdf — can you OCR pages 1 to 5 at 200 DPI in English and pull out all the text so I can search through it?”
Extract text from invoice image PDF
“This invoice PDF at https://example.com/invoice.pdf is just a scanned image with no selectable text. Please run OCR on page 1 at 300 DPI in English and return the extracted text.”
Make academic paper pages searchable
“I've got a base64-encoded PDF of a scanned research paper — can you OCR pages 2-4 at 200 DPI in English and give me the text layer so I can copy and cite from it?”
Technical details
Endpoint
POSThttps://tanod.dev/v1/pdf/ocr?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to extract text from a scanned or image-based PDF that has no existing text layer, or when you want to add a searchable layer to specific pages of a document. Ideal for up to 10 pages at a time, especially when Tesseract's English OCR coverage is sufficient. Prefer this over generic document parsers when you need pay-per-call, serverless OCR without managing infrastructure.
Side effects
- PDF URL unreachable or exceeds 20 MB — request fails with error
- Base64 payload exceeds 10 MB decoded — rejected
- Requested more than 10 pages — rejected
- Language code not installed in Tesseract (only 'eng' available) — error
- DPI out of range 100-300 — validation error
- Open-ended page ranges (e.g. '3-') not allowed — validation error
- More than 5 pages at the low price tier may incur higher cost or be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dpi | integer | 100-300 (default 200); at most 200 for more than 5 pages. |
| url | — | Public http(s) URL of the PDF (at most 20 MB; private, internal and IP-literal hosts are refused); or use pdf_base64. |
| lang | string | Installed tesseract languages only, '+'-joined (eng today). |
| pages | string | Pages to OCR, at most 10, each part N, N-M, -M or last (no open N- ranges), e.g. 1-3,7. At most 5 pages is the lower price. |
| 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. |
| skip_text | boolean | Leave pages that already have text alone. |
| pdf_base64 | — | The PDF as base64 (at most 10 MB decoded per request); or use url. |
Output
Schema · Response
{
"type": "json",
"example": {
"dpi": 200,
"file": {
"name": "searchable.pdf",
"bytes": 15472,
"pages": 1,
"data_base64": "JVBERi0xLjQKJb/3... (trimmed: 20,632 base64 characters in the reply)",
"content_type": "application/pdf"
},
"lang": "eng",
"text": "Dummy PDF file",
"ocr_pages": [
1
],
"operation": "ocr",
"input_bytes": 13264,
"input_pages": 1,
"output_bytes": 15472,
"text_truncated": false,
"skipped_has_text": [],
"untrusted_content": true,
"active_content_removed": {}
}
}Tags
x402
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