Pre-processing involves the automated cleaning, organizing, and structuring of uploaded files to prepare the documents for data extraction. Key actions include:

• Invalid File Handling: Identify issues that mean a document cannot be processed, such as insufficient text in the document, unsupported file types, corrupted files, or password-protected documents.
• File Format Conversion: This involves converting file formats (e.g., images, PDFs with embedded data) into a PDF format suitable for processing.
• De-duplication: Workspaces can be configured to identify and reject documents that have already been processed. See here for more information.
• OCR (Optical Character Recognition): Extracting text from scanned or image-based documents using advanced OCR technology, ensuring high accuracy for all document types and formats. See here for more information.
• Language Detection: Automatically identifies the language of the document to ensure high-accuracy extraction.

Importance of Pre-Processing

By ensuring documents are well-prepared before extraction, pre-processing:

• Reduces the likelihood of errors in later stages.
• Improves the speed and accuracy of data extraction.
• Enables the seamless handling of various document types and formats.