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Extract text from scanned documents
GLiREL

GLiREL

Extract relations and perform NER from text

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What is GLiREL ?

GLiREL is an AI-powered tool designed to extract text from scanned documents and analyze it for Named Entity Recognition (NER) and relation extraction. It helps users unlock insights from unstructured text data by identifying key entities and their relationships within the content.

Features

• Text Extraction: Accurately extracts text from scanned documents, including PDFs and images. • Named Entity Recognition (NER): Identifies and categorizes key entities such as names, locations, organizations, and dates. • Relation Extraction: Analyzes text to identify relationships between entities. • Multi-Format Support: Processes text from various file formats, including PDF, DOCX, and JPG. • High Accuracy: Leverages advanced AI models to ensure precise extraction and analysis. • Customizable: Allows users to define specific entities or relationships to focus on. • Batch Processing: Enables processing of multiple documents simultaneously. • API Integration: Can be integrated into workflows via a robust API.

How to use GLiREL ?

  1. Upload Your Document: Load the scanned document or text file into GLiREL.
  2. Select Options: Choose settings such as output format, entities of interest, and processing speed.
  3. Process the Document: Initiate the extraction and analysis process.
  4. Review Results: View the extracted text, identified entities, and relationships.
  5. Export Data: Save the results in formats like JSON, CSV, or Excel for further analysis.

Frequently Asked Questions

What formats does GLiREL support?
GLiREL supports PDF, DOCX, JPG, PNG, and other common document formats.

How accurate is GLiREL?
GLiREL uses advanced AI models to ensure high accuracy, but results may vary based on document quality and complexity.

Can GLiREL handle large volumes of data?
Yes, GLiREL supports batch processing, allowing users to process multiple documents simultaneously.

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