Abbyy Finereader Python -

def process_one(img_path): out_name = output_folder / f"img_path.stem_ocr" fine_read_cli(str(img_path), str(out_name), "txt")

# Summary with open(Path(output_folder) / "summary.json", 'w') as f: json.dump(results, f, indent=2) abbyy finereader python

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 'w') as f: json.dump(results

def wait_and_download(self, file_path, output_path, poll_interval=2): """Submit and wait for completion.""" task_id = self.submit_ocr_task(file_path) while True: status = self.get_task_status(task_id) if status['state'] == 'completed': return self.download_result(task_id, output_path) elif status['state'] == 'failed': raise Exception(f"OCR failed: status.get('error', 'Unknown error')") time.sleep(poll_interval) client = FineReaderServerClient( base_url="http://localhost:8080", username="admin", password="secret" ) password="secret" ) result = subprocess.run(cmd

result = subprocess.run(cmd, capture_output=True, text=True)