Textraction is an advanced tool powered by AI that can process unstructured text and extract specific information defined by the user. It is capable of extracting both exact values like prices, dates, names, emails, and phone numbers, as well as semantic answers that represent the main topic, diagnosis, or customer’s request from free text. This tool provides flexible AI-powered entity extraction capabilities.
Key Features:
– AI-powered Text Parsing: Textraction utilizes advanced AI text models to analyze unstructured text and extract custom-defined entities.
– Exact Value Extraction: Extract precise values such as prices, dates, names, emails, and phone numbers from the text.
– Semantic Answer Extraction: Extract semantic answers and relevant information representing the main topic, summary, diagnosis, customer’s request, or other custom-defined semantic entities.
– Flexible Output Formats: Customize the output formats for extracted entities, including date formats, abbreviations, naming conventions, and more.
– Creative Limitations: Set restrictions on the extracted entities, like the maximum number of words or specific categories.
– Versatile Entity Extraction: Textraction can extract a wide range of entities based on user-defined criteria, limited only by the imagination and requirements.
Use Cases:
– Data Extraction: Textraction is perfect for extracting specific information like prices, dates, and customer requests from unstructured text data.
– Automated Document Processing: The tool automates document processing by extracting entities such as names, addresses, and important keywords from unstructured documents.
– Semantic Analysis: Textraction enables semantic analysis of text by extracting main topics, summaries, or diagnoses from unstructured content.
– Custom Entity Extraction: Users have the flexibility to define their own entities to extract from text, allowing for highly customized and tailored entity extraction.
Textraction offers powerful AI-driven capabilities for extracting custom-defined entities from unstructured text.