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Tanod Docs PDF Repair
x402
Tanod Docs PDF Repair 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).
Repairs and sanitizes a corrupt or malformed PDF, optionally linearizing it for fast web view, and returns the fixed file as base64 or a download URL.
Price / call$0.005
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 repaired PDF file (name, byte count, page count, content type, and data as base64 or a 24-hour download URL), a boolean indicating whether repair was performed, a reconstructed flag, a list of warnings, counts of bytes before and after, and a report of any active content removed.
Example use cases
Sanitize untrusted PDF uploads
“A user just uploaded a PDF to our platform and I'm not sure it's safe — can you repair and sanitize it to strip out any active content or scripts before we store it? Return it as a download URL.”
Fix corrupt PDF before OCR
“I have a PDF that's throwing errors when I try to run OCR on it — please repair it first so it's a valid, clean file, and give me back the fixed version as base64.”
Linearize PDF for fast web preview
“We need to serve this PDF in a browser viewer with fast page load — can you repair it and also linearize it for fast web view, then give me a download link?”
Technical details
Endpoint
POSThttps://docs.tanod.dev/v1/pdf/repair?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to fix a corrupt, malformed, or potentially unsafe PDF before further processing (OCR, conversion, storage, or display). It is also the right choice when you need to linearize a PDF for fast browser streaming, or sanitize a PDF by removing active/scripted content. Prefer it over generic conversion endpoints when the input is already a PDF and the goal is healing or hardening it rather than format conversion.
Side effects
- PDF URL is private, internal, or IP-literal — returns error refusing the URL
- PDF exceeds 20 MB via URL or 10 MB via base64 — returns size limit error
- Neither url nor pdf_base64 provided — returns validation error
- PDF is so severely corrupted it cannot be reconstructed — may return error or reconstructed:false
- Network fetch of the provided URL fails or times out — returns fetch 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. |
| 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. |
| linearize | boolean | Also write the file for fast web view (linearized; default false). |
| pdf_base64 | — | The PDF as base64 (at most 10 MB decoded per request); or use url. |
Output
Schema · Response
{
"type": "json",
"example": {
"file": {
"name": "repaired.pdf",
"bytes": 13730,
"pages": 1,
"data_base64": "JVBERi0xLjQKJb/3... (trimmed: 18,308 base64 characters in the reply)",
"content_type": "application/pdf"
},
"repaired": false,
"warnings": [],
"operation": "repair",
"linearized": true,
"bytes_after": 13730,
"input_bytes": 13264,
"input_pages": 1,
"bytes_before": 13264,
"output_bytes": 13730,
"reconstructed": false,
"warning_count": 0,
"untrusted_content": true,
"active_content_removed": {}
}
}Tags
x402
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