Textraction.ai

Main Features & Workflow

Provides Flexible AI-powered entity extraction from free text. The workflow consists of three steps: First, enter the Input Text (text to extract from); Second, enter the Input Entities (using Natural language descriptions to define the entities to extract and their data types, e.g., description: "price of property", type: "float" or "string"); Finally, execute Extract, and the system outputs the Output Results (extracted entities values, e.g., JSON format), thereby achieving the goal to Convert texts into tables.

Core Advantages & Characteristics

• Powered by SOTA AI: Driven by state-of-the-art artificial intelligence technology.
• Natural language descriptions: Supports defining extraction rules via natural language descriptions.
• Infinite possible entities: Supports extracting an infinite number of possible entity types.
• Quick & easy integration: Features quick and easy integration, supporting API Access and Zapier integration.
• Multi language support: Provides multi-language support.

Typical Use Cases

Applicable for entity extraction across multiple vertical domains, including:

• Real Estate: E.g., extracting house square footage, price, state, number of bedrooms and bathrooms.
• Curriculum Vitae: Extracting key information from resumes.
• Customer Support: Processing customer support conversation records.
• Finance: Financial data extraction.
• Product Listing & Purchase Order: E-commerce and order information structuring.