Abbyy Finereader Python May 2026

image_files = list(input_folder.glob("*.png,jpg,jpeg,tiff,bmp"))

@ocr_with_retry(max_retries=3) def robust_ocr(input_path): # Your OCR implementation pass | Limitation | Alternative | |------------|-------------| | Windows-only (COM method) | Use CLI or Server API | | License required | Tesseract (free), Google Cloud Vision | | Slow for large batches | Use FineReader Server (distributed) | | Complex layout handling | Adobe Extract API | 11. Complete Working Example # full_pipeline.py import os from pathlib import Path import json from datetime import datetime def main(): # Setup input_folder = "./input_scans" output_folder = "./ocr_results" os.makedirs(output_folder, exist_ok=True)

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

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)

file_hash = hashlib.md5(Path(input_path).read_bytes()).hexdigest() cache_file = cache_dir / f"file_hash.pkl" image_files = list(input_folder

return output_pdf_path FineReader Server provides a REST API for distributed OCR. REST API Client import requests import base64 import json from pathlib import Path class FineReaderServerClient: def init (self, base_url, username, password): self.base_url = base_url.rstrip('/') self.session = requests.Session() self.session.auth = (username, password)

result = subprocess.run(cmd, capture_output=True, text=True) image_files = list(input_folder.glob("*.png

def download_result(self, task_id, output_path): """Download OCR result.""" response = self.session.get(f"self.base_url/api/v1/tasks/task_id/result") with open(output_path, 'wb') as f: f.write(response.content) return output_path