Parse PDFs to Structured Data
Use our API or free web parser to turn any PDF into structured data.
API Overview
Parse PDFs with advanced OCR and layout detection. Get structured JSON with headings, paragraphs, tables, and figures.
import requests
# Using URL
response = requests.post(
"https://pdf.ai/api/v2/parse",
headers={"X-API-Key": "YOUR_API_KEY"},
data={
"url": "https://example.com/document.pdf",
"quality": "standard",
"lang_list": ["en"],
"llm": False
}
)
data = response.json()Response Example
{
"success": true,
"markdown": "string",
"contents": [
{
"bbox": [number, number, number, number], // [x0, y0, x1, y1]
"content": "string",
"pageNumber": number,
"type": "string (optional)",
"imageIds": ["string"] (optional),
"conf": number (optional),
"description": "string (optional)"
}
],
"images": [
{
"id": "string",
"data": "string",
"pageNumber": number (optional),
"bbox": [number, number, number, number] (optional),
"description": "string (optional)"
}
],
"pageCount": number
}Perfect for AI Ingestion & Data Extraction
AI Document Processing
Parse PDFs for RAG systems, chatbots, and knowledge bases. Extract structured data for AI model training.
Data Extraction
Automatically extract tables, figures, and text from research papers, reports, and documents.
Document Summarization
Get structured content ready for summarization, translation, or content analysis workflows.
Built for Developers
Simple, Transparent Pricing
Start free with 200 credits/month. Scale as you grow.
Start with 200 free credits/month
Perfect for testing and hobby projects. Access all APIs with no credit card required.
Starter
Pro
Scale
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All plans include access to Parse, Extract, and Split APIs
Frequently asked questions
Credits are charged per page based on the operation type and mode you select.
Parsing
- β’Standard (OCR): 1 credit/page
- β’Advanced (VLM): 2 credits/page
Extraction
- β’Standard: 2 credits/page
- β’Advanced: 4 credits/page
Split
- β’2 credits/page
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