Args: input_path: Path to image or PDF output_path: Output file path (without extension) output_format: pdf, docx, xlsx, txt, html """ fine_cmd = r"C:\Program Files (x86)\ABBYY FineReader\FineReaderCmd.exe"
client.wait_and_download("document.pdf", "ocr_result.docx") import re from datetime import datetime from pathlib import Path class InvoiceProcessor: def init (self, fine_reader_com): self.fr = fine_reader_com self.zones = 'invoice_number': (500, 100, 700, 130), 'invoice_date': (500, 140, 650, 165), 'due_date': (500, 170, 650, 195), 'total_amount': (600, 750, 750, 775), 'vendor_name': (100, 100, 400, 130), 'vendor_address': (100, 140, 400, 220)
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 abbyy finereader python
def get_task_status(self, task_id): """Check task status.""" response = self.session.get(f"self.base_url/api/v1/tasks/task_id") return response.json()
def _clean_invoice_number(self, raw): match = re.search(r'INV[-_]?\d5,10', raw) return match.group(0) if match else raw Args: input_path: Path to image or PDF output_path:
def ocr_with_retry(max_retries=3): def decorator(func): @wraps(func) def wrapper(*args, **kwargs): for attempt in range(max_retries): try: return func(*args, **kwargs) except Exception as e: logger.error(f"Attempt attempt+1 failed: e") if attempt == max_retries - 1: raise time.sleep(2 ** attempt) # Exponential backoff return wrapper return decorator
return result.returncode fine_read_cli("scan.jpg", "output/result", "docx") Batch Processing with CLI from concurrent.futures import ThreadPoolExecutor from tqdm import tqdm def batch_ocr_cli(input_folder, output_folder, max_workers=4): """Process all images in a folder.""" input_folder = Path(input_folder) output_folder = Path(output_folder) output_folder.mkdir(exist_ok=True) 220) def ocr_document(self
with ThreadPoolExecutor(max_workers=max_workers) as executor: list(tqdm(executor.map(process_one, image_files), total=len(image_files))) batch_ocr_cli("./scans", "./ocr_output", max_workers=2) 5. Method 2: COM Automation (Windows, Deep Control) This method gives you programmatic access to FineReader's object model. Initialize FineReader COM Object import win32com.client import pythoncom import os class FineReaderCOM: def init (self): pythoncom.CoInitialize() self.app = win32com.client.Dispatch("FineReader.Application") self.app.Visible = False # Run in background