OCR + LLM

What is OCR + LLM ?

OCR + LLM is a powerful tool that combines Optical Character Recognition (OCR) and Large Language Models (LLM) to detect and analyze text within images. It enables users to upload an image, extract text from it, and classify the content as either Spam or Not Spam. This integration allows for efficient processing of visual data and provides actionable insights based on the extracted text.

Features

• Text Extraction from Images: OCR technology accurately identifies and extracts text from uploaded images, including handwritten, printed, or digital text. • Spam Detection: The system uses LLM to classify extracted text into Spam or Not Spam, helping users filter unwanted or harmful content. • Multi-Format Support: Accepts various image formats, ensuring compatibility with different types of visual data. • High Accuracy: Combines advanced OCR and LLM capabilities for precise text extraction and reliable content classification.

How to use OCR + LLM ?

1. Upload an Image: Select and upload an image file that contains text you want to analyze.
2. Text Extraction: The OCR component processes the image and extracts all readable text.
3. Content Analysis: The extracted text is then analyzed by the LLM to determine if it is Spam or Not Spam.
4. Classification Result: Receive a classification result, indicating whether the text is Spam or Not Spam.

Frequently Asked Questions

What formats does OCR + LLM support?
OCR + LLM supports common image formats such as JPG, PNG, BMP, and GIF.
How accurate is the Spam detection?
The accuracy depends on the quality of the image and the complexity of the text. However, the combination of OCR and LLM ensures high precision in most cases.
Can OCR + LLM process handwritten text?
Yes, OCR + LLM is capable of extracting and analyzing handwritten text, though accuracy may vary depending on handwriting clarity.