| Mode | Description | |------|-------------| | | Extract text, tables, key-value pairs from PDFs, Word, Excel, TXT, images (OCR). | | UI Extraction | Scrape data from desktop/web apps by selecting UI elements (text, lists, grids, images). | | Email Extraction | Extract sender, subject, body, attachments, and specific patterns (e.g., invoice numbers). | | Regex & Pattern Extraction | Use regex, keywords, or position-based rules to pull exact data fields. |
Before we dive into the nitty-gritty, let's quickly cover the basics. RPA extraction involves using software robots to automatically extract data from unstructured or semi-structured sources. This data can then be used to trigger workflows, populate databases, or feed into other business applications. rpa extractor
uses "Digital Workers" to bridge the gap between unstructured documents and structured databases. Key Benefits: Near-Perfect Accuracy: Eliminates human error in data transcription [9]. Massive Scalability: Process thousands of documents in minutes, not days [24]. AI Augmentation: Modern tools like SAP Intelligent RPA Automation Anywhere | Mode | Description | |------|-------------| | |
"I will look for the word 'Total' and extract the number following it." Generative Extractor (LLM): "Here is a messy invoice. Please return a JSON object with the total. By the way, I understand that 'Sum Due,' 'Amount Payable,' and 'Balance' all mean 'Total.'" | | Regex & Pattern Extraction | Use