Ask
Ask questions about your parsed PDF documents and get answers. You can query multiple documents at once. Includes the full document context for precise answers.
POST https://pdf.ai/api/v2/ask
prompt one or more of your parsed documents (docIds) and get an answer based on their content.
Previously Parsed Documents
To use this endpoint the provided document IDs must have been previously parsed. See the Parse endpoint here.
Sample Requests
Here's how you can make requests to the endpoint using different programming languages.
curl -X POST https://pdf.ai/api/v2/ask \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "What is the main topic of this document?",
"docIds": ["your-document-id-1", "your-document-id-2"]
}'import requests
url = "https://pdf.ai/api/v2/ask"
headers = {
"X-API-Key": "YOUR_API_KEY",
"Content-Type": "application/json"
}
data = {
"prompt": "What is the main topic of this document?",
"docIds": ["your-document-id-1", "your-document-id-2"]
}
response = requests.post(url, headers=headers, json=data)
print(response.json())Please replace placeholders like <YOUR_API_Key> with actual values.
Headers
X-API-Key*
string
<API-Key>
Request Format
Content-Type: application/json
Request Parameters
prompt
string
Yes
The question or query you want to ask about the documents.
docIds
string[]
Yes
Array of document IDs to query. All documents must be already parsed.
Response format
Credit Usage
Credits are calculated based on the total number of pages across all documents queried
Ask credits
Always charged
3 credits × total page count
Total Credit Formula
Total credits = Total page count * 3
Example
Document 1: 10 pages
Document 2: 5 pages
Total Credits Used: (10 + 5) × 3 = 45 credits
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