Technical Assessment
Identify and segment objects in images using text
Analyze images and categorize NSFW content
Detect objects in your images
Detect NSFW content in images
Detect objects in images using uploaded files
Identify Not Safe For Work content
Detect objects in an image
Check image for adult content
Detect AI-generated images by analyzing texture contrast
Identify NSFW content in images
Filter images for adult content
Find images using natural language queries
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.
• 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.
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.