Convert a document (PDF, DOCX, HTML, TXT) into clean Markdown for an LLM, with t
Convert a document (PDF, DOCX, HTML, TXT) into clean Markdown for an LLM, with tables extracted as rows. Give a public URL (?url=) or POST the file (multipart or raw binary body, max 10 MB). Returns markdown, tables, page count, char count and source type. Useful for hosted agents that cannot run parsers locally. Nothing stored.
Answeringour last check, 2026-10-10
1 of 1checks answered this week
330 msmedian answer time
$0.005listed price per call
$0.005price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://resolve402.dev/api/doc-to-markdown
| Category | Everything else |
|---|---|
| Provider host | resolve402.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-10 | valid payment request | 402 | $0.005 | 330 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"url": {
"description": "Public http(s) URL of a PDF, DOCX, HTML or TXT document (max 10 MB, 10 s fetch). Alternative: POST the file as multipart/form-data (field 'file') or as a raw binary body.",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}