Scanner-generated random filenames (like IMG_0057.jpg or DSCN1234.pdf) are computer-assigned placeholders lacking descriptive context. They are typically sequential or hash-based identifiers applied automatically during the batch scanning process, differing significantly from user-defined names that describe content (e.g., "2023-08-24_Invoice_AcmeCorp.pdf"). Renaming involves systematically replacing these random sequences with meaningful identifiers.

This practice is crucial in document management systems for legal records or scanned medical charts, where files need accurate tracking (e.g., renaming to "PatientID_DocumentType_Date.pdf"). Similarly, researchers digitizing archival materials use scripts or bulk renaming tools like Advanced Renamer to transform filenames from "Scan_0001.tif" to "Manuscript_Page001.tif" based on metadata or folder position.

Effective renaming enhances searchability and organization significantly. However, bulk renaming carries risks: errors in automated rules can mislabel files, and overly complex patterns reduce readability. Good practice includes testing scripts on copies, using consistent date formats (YYYY-MM-DD), and embedding unique identifiers for critical documents to prevent loss while improving workflow efficiency.