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0939a57 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 | #!/usr/bin/env python3
"""
Standalone PDF Resume Text Extractor for IQKiller
Run this script to extract text from your resume PDF, then copy the output into IQKiller
"""
import sys
import os
from pathlib import Path
# PDF processing imports with error handling
try:
import PyPDF2
PYPDF2_AVAILABLE = True
except ImportError:
PYPDF2_AVAILABLE = False
try:
import pdfplumber
PDFPLUMBER_AVAILABLE = True
except ImportError:
PDFPLUMBER_AVAILABLE = False
def extract_text_from_pdf(pdf_path: str) -> str:
"""Extract text from PDF using available libraries"""
if not os.path.exists(pdf_path):
return f"❌ Error: File '{pdf_path}' not found!"
extracted_text = ""
errors = []
# Try pdfplumber first (usually better for formatted text)
if PDFPLUMBER_AVAILABLE:
try:
print("🔄 Trying pdfplumber extraction...")
with pdfplumber.open(pdf_path) as pdf:
text_parts = []
for page_num, page in enumerate(pdf.pages, 1):
page_text = page.extract_text()
if page_text:
text_parts.append(f"--- Page {page_num} ---\n{page_text}\n")
if text_parts:
extracted_text = "\n".join(text_parts)
print(f"✅ Successfully extracted {len(extracted_text)} characters using pdfplumber")
return extracted_text
except Exception as e:
errors.append(f"pdfplumber failed: {e}")
print(f"⚠️ pdfplumber failed: {e}")
# Fallback to PyPDF2
if PYPDF2_AVAILABLE and not extracted_text:
try:
print("🔄 Trying PyPDF2 extraction...")
with open(pdf_path, 'rb') as file:
reader = PyPDF2.PdfReader(file)
text_parts = []
for page_num, page in enumerate(reader.pages, 1):
page_text = page.extract_text()
if page_text:
text_parts.append(f"--- Page {page_num} ---\n{page_text}\n")
if text_parts:
extracted_text = "\n".join(text_parts)
print(f"✅ Successfully extracted {len(extracted_text)} characters using PyPDF2")
return extracted_text
except Exception as e:
errors.append(f"PyPDF2 failed: {e}")
print(f"⚠️ PyPDF2 failed: {e}")
# If no libraries available or all failed
if not PDFPLUMBER_AVAILABLE and not PYPDF2_AVAILABLE:
return """❌ Error: No PDF processing libraries available!
Please install PDF processing libraries:
pip install PyPDF2 pdfplumber
Then run this script again."""
if errors and not extracted_text:
return f"""❌ Error: Could not extract text from PDF!
Errors encountered:
{chr(10).join(f"• {error}" for error in errors)}
Try:
1. Ensuring the PDF is not password-protected
2. Converting the PDF to a simpler format
3. Copy-pasting text manually from the PDF"""
return "❌ No text could be extracted from this PDF."
def main():
"""Main function to run the PDF text extractor"""
print("🎯 IQKiller PDF Resume Text Extractor")
print("=" * 50)
# Check if file path provided as argument
if len(sys.argv) > 1:
pdf_path = sys.argv[1]
else:
# Interactive mode
print("📁 Please provide the path to your resume PDF:")
print(" Example: /Users/username/Documents/resume.pdf")
print(" Or drag and drop your PDF file here:")
pdf_path = input("\nPDF Path: ").strip().strip('"').strip("'")
if not pdf_path:
print("❌ No file path provided!")
return
# Extract text
print(f"\n🔄 Processing: {pdf_path}")
print("-" * 50)
extracted_text = extract_text_from_pdf(pdf_path)
print("\n" + "=" * 50)
print("📄 EXTRACTED TEXT")
print("=" * 50)
print(extracted_text)
print("=" * 50)
# Instructions for use
print("\n📋 INSTRUCTIONS:")
print("1. Copy the extracted text above")
print("2. Open IQKiller in your browser: http://localhost:7860")
print("3. Paste the text into the 'Resume Text' field")
print("4. Add your job URL or description")
print("5. Generate your personalized interview guide!")
# Save to file option
save_option = input("\n💾 Save extracted text to file? (y/n): ").lower().strip()
if save_option in ['y', 'yes']:
output_file = Path(pdf_path).stem + "_extracted_text.txt"
try:
with open(output_file, 'w', encoding='utf-8') as f:
f.write(extracted_text)
print(f"✅ Text saved to: {output_file}")
except Exception as e:
print(f"❌ Could not save file: {e}")
if __name__ == "__main__":
main() |