Historical documents filled with cursive handwriting, faded Chinese characters, or vertical text are difficult to digitize with conventional OCR. Upstage's Document Parse is designed to handle degraded and non-standard scripts, converting aged documents into digital text with higher fidelity than general-purpose tools. This creates a reliable text layer that downstream processes can act on.

Physically damaged sections where text has been erased or ink has smudged reduce the research and administrative value of a document. An LLM node can be connected to read surrounding context and suggest restorations for damaged passages, along with light proofreading of the extracted text. The result is a more complete and usable digital record.

Records that exist only as physical objects or simple image scans cannot be searched by content, limiting their use in research and administration. Upstage structures extracted text into a searchable database organized by title, date, and content. This makes historical and administrative records accessible for research and reference in a way that physical or image-only storage cannot support.