def _parse_date(self, raw): match = re.search(r'\d1,2[/-]\d1,2[/-]\d2,4', raw) if match: return match.group(0) return None
if result.returncode == 0: print(f"OCR successful: output_path.output_format") else: print(f"Error: result.stderr") abbyy finereader python
def __del__(self): self.app.Quit() pythoncom.CoUninitialize() fr = FineReaderCOM() text = fr.get_recognized_text("invoice.jpg") print(text[:500]) Zonal OCR example (extract specific invoice fields) zones = [(100, 200, 400, 230), # Invoice number (100, 300, 400, 330), # Date (500, 500, 800, 800)] # Total amount invoice_data = fr.zonal_ocr("invoice.jpg", zones) print(invoice_data) Advanced: PDF Searchable Creation def create_searchable_pdf(input_pdf_path, output_pdf_path): """Convert image-only PDF to searchable PDF/A.""" fr = FineReaderCOM() doc = fr.app.CreateDocument() # Load PDF pages doc.AddImageFile(input_pdf_path, 0) def _parse_date(self, raw): match = re
doc.Recognize("English") doc.Export(output_pdf_path, "PDF", export_params) doc.Close() raw): match = re.search(r'\d1
def ocr_document(self, input_path, output_path, output_format="docx", language="English"): """OCR a single document with full control.""" # Create document object doc = self.app.CreateDocument() # Add image page page = doc.AddImageFile(input_path, 0) # 0 = auto orientation # Analyze layout doc.AnalyzeLayout() # Recognize with specific language doc.Recognize(language) # Export if output_format == "docx": doc.Export(output_path, "DOCX") elif output_format == "txt": doc.Export(output_path, "TEXT") elif output_format == "pdf": doc.Export(output_path, "PDF") # Cleanup doc.Close() return output_path