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import asyncio
from pathlib import Path
from PIL import Image
import pytesseract
import easyocr
import io
async def extract_text_ocr(file_path: str, language: str = 'en') -> dict:
"""
Extract text from image using OCR
Args:
file_path: Path to image file
language: Language code for OCR
Returns:
Dict with extracted text and confidence
"""
try:
# Try EasyOCR first (better quality)
reader = easyocr.Reader([language], gpu=False)
result = reader.readtext(file_path)
text_lines = [detection[1] for detection in result]
confidences = [detection[2] for detection in result]
full_text = '\n'.join(text_lines)
avg_confidence = sum(confidences) / len(confidences) if confidences else 0
return {
'text': full_text,
'confidence': avg_confidence,
'line_count': len(text_lines),
'method': 'easyocr'
}
except Exception as e:
# Fallback to Tesseract
try:
img = Image.open(file_path)
text = pytesseract.image_to_string(img, lang=language)
return {
'text': text,
'confidence': 0.8, # Estimated
'line_count': len(text.split('\n')),
'method': 'tesseract'
}
except Exception as e2:
return {
'text': '',
'error': f"OCR failed: {str(e)}, {str(e2)}",
'confidence': 0
}
async def extract_text_from_pdf_image(pdf_path: str, page_num: int = 0) -> dict:
"""Extract text from scanned PDF using OCR"""
try:
from pdf2image import convert_from_path
images = convert_from_path(pdf_path, first_page=page_num+1, last_page=page_num+1)
if not images:
return {'text': '', 'error': 'No pages found'}
# Save temp image
temp_path = f"/tmp/page_{page_num}.png"
images[0].save(temp_path, 'PNG')
# Extract text
result = await extract_text_ocr(temp_path)
return result
except Exception as e:
return {'text': '', 'error': str(e)}
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