Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
Use this file to discover all available pages before exploring further.
Source must be a URL (https://) or base64-encoded document. Local file paths are not supported.
from praisonaiagents import OCRAgent
agent = OCRAgent()
text = agent.read("https://arxiv.org/pdf/2201.04234")
print(text)
from praisonaiagents import OCRAgent
agent = OCRAgent()
# Extract specific pages (0-indexed)
result = agent.extract("https://arxiv.org/pdf/2201.04234", pages=[0, 1])
for page in result.pages:
print(f"Page {page.index}: {page.markdown[:100]}")
From Image URL
from praisonaiagents import OCRAgent
agent = OCRAgent()
text = agent.read("https://example.com/screenshot.png")
print(text)
Providers
