OCR + LLM

What is OCR + LLM ?

OCR + LLM is an advanced tool that combines Optical Character Recognition (OCR) and Large Language Models (LLMs) to analyze text within images. The OCR technology extracts text from images, which is then processed by the LLM to classify the content as Spam or Not Spam. This integration allows for efficient detection of harmful or offensive content in visual formats.

Features

• Text Extraction from Images: Accurately extracts text from images using OCR technology.
• Spam Classification: Uses LLM to classify extracted text as Spam or Not Spam.
• Multi-Language Support: Processes text in multiple languages for broader applicability.
• Integration Capabilities: Compatible with various platforms for seamless workflow integration.

How to use OCR + LLM ?

1. Upload an Image: Submit an image containing text for analysis.
2. Analyze Text: The OCR extracts text from the image, and the LLM evaluates its content.
3. Receive Classification: Get a classification result indicating whether the text is Spam or Not Spam.

Frequently Asked Questions

What file formats are supported?
OCR + LLM supports common image formats such as JPG, PNG, and BMP.

How accurate is the Spam classification?
The LLM's accuracy depends on the quality of the extracted text and the complexity of the content.

Can OCR + LLM handle handwritten text?
Yes, but the accuracy may vary depending on the clarity and legibility of the handwriting.