UniDocVerse uses a local language model to read the content, structure, and context of each document — not just the filename — and assign it to the right category.
Content-Based Classification
Reads the actual document content — not just the filename or extension. Correctly classifies even documents with generic names like "scan_001.pdf".
Custom Taxonomies
Define your own document types and categories. UniDocVerse learns your business's specific classification scheme, not a generic one-size-fits-all model.
Batch Processing
Drop a folder of 500 documents and classify them all in minutes. Handles PDFs, Word documents, images, scanned files, and mixed formats in one pass.
Private by Default
Classification runs on your local CPU/GPU. Confidential documents are never sent to an external AI service for processing.
Metadata Extraction
Beyond just the type, extract key metadata: dates, parties, amounts, document numbers, and other structured fields — all in the same classification pass.
Confidence Scoring
Every classification comes with a confidence score. Low-confidence documents are flagged for human review rather than silently miscategorized.