AI Automation
AI Data Extraction Node
Transform unstructured document text into precisely structured JSON or CSV data using schema-aware AI models.
Quick Answer: What is the AI Extract Node?
[!NOTE] The AI Extract Node is a specialized tool that uses LLMs to parse documents and return data in a strictly defined format (like an Invoice object or a Person schema). It is the ideal bridge between "human-readable" PDFs and "machine-readable" spreadsheets or databases.
Core Capabilities
1. Intelligent Parsing
Automatically identify fields like "Invoice Number", "Tax ID", and "Line Items" even if they are in different locations across various document formats.
2. Normalization
The AI Extract node can normalize data on the fly. For example, it can turn "Jan 12, 2026" and "12/01/26" both into a standard YYYY-MM-DD string if instructed in the schema description.
3. Confidence Scoring
(Planned) Future updates will include confidence scores for each extracted field to flag low-confidence data for human review.
Configuration Guide
| Field | Description | Example |
|---|---|---|
| Schema Name | A label for the object being extracted. | InvoiceData |
| Defined Fields | The list of data points to capture. | total_amount, vendor_name, date |
| Output Type | The final format of the data. | JSON Object or CSV Row |
Best Practices
- Schema Descriptions: Provide a short description for each field (e.g., "The total amount including tax"). This significantly improves extraction accuracy.
- OCR Quality: Ensure you use a high-quality OCR Node upstream if the source document is a scan/image.
- Few-Shot Prompting: (Hidden Feature) The backend supports few-shot examples for extremely complex extraction tasks.
[!TIP] Processing high volumes? Connect this node to a Loop Node to extract data from hundreds of documents in a single automated run.