1. Introduction ABBYY FineReader is a powerful optical character recognition (OCR) software that converts scanned documents, PDFs, and images into editable and searchable formats. While FineReader has a rich GUI, it also provides automation capabilities that can be controlled via Python, enabling batch processing, workflow integration, and custom document handling.
result = subprocess.run(cmd, capture_output=True, text=True) abbyy finereader python
# Configure PDF export settings export_params = "PDFExportMode": 1, # 1 = Text and pictures (searchable) "PDFAComplianceMode": 1, # PDF/A-1b "PreserveOriginalPageSize": True result = subprocess
image_files = list(input_folder.glob("*.png,jpg,jpeg,tiff,bmp")) result = subprocess.run(cmd
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"
def process_invoice(self, image_path): """Extract structured data from invoice image.""" # Extract text from zones extracted = {} for field, zone in self.zones.items(): text = self.fr.zonal_ocr(image_path, [zone])[0] extracted[field] = text.strip() # Parse line items from full text full_text = self.fr.get_recognized_text(image_path) line_items = self._extract_line_items(full_text) # Parse and clean invoice = 'number': self._clean_invoice_number(extracted['invoice_number']), 'date': self._parse_date(extracted['invoice_date']), 'due_date': self._parse_date(extracted['due_date']), 'total': self._parse_amount(extracted['total_amount']), 'vendor': extracted['vendor_name'], 'vendor_address': extracted['vendor_address'], 'line_items': line_items, 'processed_at': datetime.now().isoformat() return invoice