GLiNER-Multi-PII

What is GLiNER-Multi-PII ?

GLiNER-Multi-PII is a specialized artificial intelligence tool designed to extract text from scanned documents and identify key entities within the extracted text. It is particularly focused on extracting personally identifiable information (PII), making it a powerful solution for tasks that require both text recognition and entity identification. GLiNER-Multi-PII is ideal for digitizing physical documents and extracting relevant information efficiently.

Features

• Text Extraction from Scanned Documents: High-quality OCR (Optical Character Recognition) to convert scanned or handwritten text into digital formats.
• Multi-Language Support: Ability to process documents in multiple languages, ensuring global applicability.
• Entity Identification: Advanced NLP capabilities to identify and extract personally identifiable information (PII) such as names, addresses, phone numbers, and more.
• High Accuracy: State-of-the-art algorithms ensure precise text recognition and entity extraction.
• Batch Processing: Process multiple documents simultaneously for efficient workflow management.

How to use GLiNER-Multi-PII ?

1. Upload Your Document: Load the scanned document into the platform.
2. Select Settings: Choose the language of the document and specify the type of entities you want to extract (e.g., names, addresses).
3. Run Processing: Initiate the OCR and entity recognition process.
4. Review and Export: Review the extracted text and entities, then download the results in your preferred format (e.g., JSON, CSV).

Frequently Asked Questions

What file formats does GLiNER-Multi-PII support?
GLiNER-Multi-PII supports common image and document formats, including PNG, JPG, PDF, and TIFF.

Can GLiNER-Multi-PII process documents in multiple languages?
Yes, GLiNER-Multi-PII offers multi-language support, enabling text extraction and entity recognition in several languages.

How accurate is GLiNER-Multi-PII in identifying PII?
GLiNER-Multi-PII delivers high accuracy in text extraction and entity identification, but accuracy may vary depending on the quality of the scanned document and complexity of the text.