Retrieve document contents

Example Requests

curl -X GET \
  "https://api.rememberizer.ai/api/v1/documents/12345/contents/?start_chunk=0&end_chunk=20" \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"

Replace YOUR_JWT_TOKEN with your actual JWT token and 12345 with an actual document ID.

const getDocumentContents = async (documentId, startChunk = 0, endChunk = 20) => {
  const url = new URL(`https://api.rememberizer.ai/api/v1/documents/${documentId}/contents/`);
  url.searchParams.append('start_chunk', startChunk);
  url.searchParams.append('end_chunk', endChunk);
  
  const response = await fetch(url.toString(), {
    method: 'GET',
    headers: {
      'Authorization': 'Bearer YOUR_JWT_TOKEN'
    }
  });
  
  const data = await response.json();
  console.log(data);
  
  // If there are more chunks, you can fetch them
  if (data.end_chunk < totalChunks) {
    // Fetch the next set of chunks
    await getDocumentContents(documentId, data.end_chunk, data.end_chunk + 20);
  }
};

getDocumentContents(12345);

Replace YOUR_JWT_TOKEN with your actual JWT token and 12345 with an actual document ID.

import requests

def get_document_contents(document_id, start_chunk=0, end_chunk=20):
    headers = {
        "Authorization": "Bearer YOUR_JWT_TOKEN"
    }
    
    params = {
        "start_chunk": start_chunk,
        "end_chunk": end_chunk
    }
    
    response = requests.get(
        f"https://api.rememberizer.ai/api/v1/documents/{document_id}/contents/",
        headers=headers,
        params=params
    )
    
    data = response.json()
    print(data)
    
    # If there are more chunks, you can fetch them
    # This is a simplistic example - you might want to implement a proper recursion check
    if 'end_chunk' in data and data['end_chunk'] < total_chunks:
        get_document_contents(document_id, data['end_chunk'], data['end_chunk'] + 20)

get_document_contents(12345)

Replace YOUR_JWT_TOKEN with your actual JWT token and 12345 with an actual document ID.

Path Parameters

Parameter

Type

Description

document_id

integer

Required. The ID of the document to retrieve contents for.

Query Parameters

Parameter

Type

Description

start_chunk

integer

The starting chunk index. Default is 0.

end_chunk

integer

The ending chunk index. Default is start_chunk + 20.

Response Format

{
  "content": "The full text content of the document chunks...",
  "end_chunk": 20
}

Error Responses

Status Code

Description

404

Document not found

500

Internal server error

Pagination for Large Documents

For large documents, the content is split into chunks. You can retrieve the full document by making multiple requests:

Make an initial request with start_chunk=0
Use the returned end_chunk value as the start_chunk for the next request
Continue until you have retrieved all chunks

This endpoint returns the raw text content of a document, allowing you to access the full information for detailed processing or analysis.

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Last updated 28 days ago