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POST
/
v1
/
documents
/
{doc_id}
/
markdown
Read as Markdown
curl --request POST \
  --url https://api.agentoffice.dev/v1/documents/{doc_id}/markdown \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "readUid": "<string>"
}
'
{
  "detail": "Document not found or has expired"
}

​
Read Document as Markdown

Extract document content as markdown text. Your agent should use this to read documents before editing and verify changes after edits are applied.

​
Path Parameters

​
doc_id
string
required
The unique identifier of the document (UUID)

​
Request Body

​
readUid
string
required
Client-provided UUID for idempotency and tracking. Generate a new UUID for each read request.

​
Response

​
readUid
string
required
The UUID of the read operation (same as request)
​
markdown
string
required
Markdown representation of the document content
​
timeToGenerate
number
required
Time taken to generate the markdown in seconds
​
documentName
string
required
Name of the document
​
documentId
string
required
UUID of the document

​
Code Examples

import { v4 as uuidv4 } from "uuid";

const docId = "a1b2c3d4-e5f6-7890-abcd-ef1234567890";

const response = await fetch(
  `https://api.agentoffice.dev/v1/documents/${docId}/markdown`,
  {
    method: "POST",
    headers: {
      Authorization: "Bearer YOUR_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      readUid: uuidv4(),
    }),
  }
);

const data = await response.json();
console.log("Markdown content:");
console.log(data.markdown);

​
Example Response

{
  "readUid": "550e8400-e29b-41d4-a716-446655440000",
  "markdown": "# Q4 Financial Report\n\n## Executive Summary\n\nThis report covers the financial performance for Q4 2024...\n\n## Revenue Analysis\n\n- Total Revenue: $2.5M\n- Growth: 15% YoY\n\n## Conclusion\n\nThe company showed strong performance in Q4.",
  "timeToGenerate": 2.1,
  "documentName": "report.docx",
  "documentId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}

​
Use Cases

Content Extraction

Extract document content for search indexing or data processing

AI Integration

Feed document content to LLMs for analysis or summarization

Version Control

Track document changes in markdown-friendly version control systems

Web Display

Display document content on websites using markdown renderers

​
Processing Markdown Content

Here’s how to use the markdown output in different scenarios: 
import { v4 as uuidv4 } from "uuid";

// Get markdown
const response = await fetch(
  `https://api.agentoffice.dev/v1/documents/${docId}/markdown`,
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ readUid: uuidv4() }),
  }
);

const { markdown } = await response.json();

// Search for specific content
if (markdown.includes("financial report")) {
  console.log("Found financial report content");
}

// Extract headers
const headers = markdown.match(/^#{1,6} .+$/gm);
console.log("Document headers:", headers);

​
Markdown Formatting

The markdown output preserves document structure including:
  • Headings: Converted to markdown headers (# ## ###)
  • Lists: Bullet points and numbered lists
  • Tables: Formatted as markdown tables
  • Bold/Italic: Text formatting preserved
  • Links: Hyperlinks maintained
  • Images: Image references with descriptions (if available)

​
Example Conversion

A Word document with:
  • Heading: “Financial Report”
  • Bold text: “Q4 Results”
  • Table with revenue data
  • Bulleted list of achievements

​
Alternative: Get Markdown During Upload

You can also request markdown when uploading a document by setting return_markdown=true: 
const formData = new FormData();
formData.append("file", file);
formData.append("return_markdown", "true");

const response = await fetch("https://api.agentoffice.dev/v1/documents/", {
  method: "POST",
  headers: { Authorization: `Bearer ${API_KEY}` },
  body: formData,
});

const { docId, markdown } = await response.json();
console.log("Markdown:", markdown);

​
Queue Processing

Like edits, markdown read operations are queued per document to ensure consistency: 
// Multiple read requests to the same document are processed sequentially
const read1 = fetch(
  `https://api.agentoffice.dev/v1/documents/${docId}/markdown`,
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ readUid: uuidv4() }),
  }
);

const read2 = fetch(
  `https://api.agentoffice.dev/v1/documents/${docId}/markdown`,
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ readUid: uuidv4() }),
  }
);

// Both will complete, processed in order
const [result1, result2] = await Promise.all([read1, read2]);

​
Error Responses

{
  "detail": "Document not found or has expired"
}
Markdown generation typically takes 1-5 seconds depending on document complexity.