Document Parsing
Converting documents into structured, machine-readable data.
Definition
Document parsing is the process of converting unstructured or semi-structured documents into structured, machine-readable data. This includes extracting text from PDFs, identifying tables and their structure, recognising headers and sections, and preserving document layout information. Modern AI-powered parsers can handle diverse document types including scanned images, handwritten notes, and complex layouts.
Learn more
More in Document Processing
Data Extraction
Automatically pulling structured information from unstructured documents.
Document Classification
Automatically categorising documents by type, topic, or purpose.
Intelligent Document Processing (IDP)
AI-powered automation that extracts, classifies, and processes data from documents.
OCR (Optical Character Recognition)
Technology that converts images of text into machine-readable text.
See Document in action
Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
Request a demo