---
title: "Documents AI agents"
section: "Agent store"
canonical_url: "https://leverge.ai/agents/documents"
category: "Documents"
topic: "AI agents for document processing"
publisher: "Ailoitte Technologies Private Limited"
---

# Documents AI agents

Document agents extract structured data from the formats businesses actually receive — scanned PDFs, tables, multi-column layouts, images. Per-field confidence scores route uncertain values to review rather than passing a guess downstream, which is the design decision that separates usable extraction from a data-quality incident three weeks later.

## What these change

- **Keying documents stops being a job** — Whatever arrives — scanned PDFs, tables, photographs, awkward multi-column layouts — gets read and turned into structured data, without a template per supplier.
- **Uncertain values never reach your systems** — Every field carries a confidence score. Anything below the threshold goes to a person instead of flowing through, which is the difference between useful extraction and a data-quality incident a month later.
- **It survives format changes** — Template-based tools break the moment a supplier redesigns an invoice. These read documents by meaning and position, so a new layout is not a new project.

## Processes covered

- **Data Extraction** — 1 agent: https://leverge.ai/agents/documents/data-extraction
- **Document Intelligence** — 3 agents: https://leverge.ai/agents/documents/document-intelligence

---

Source: https://leverge.ai/agents/documents — Leverge