Technical Assessment
Analyze files to detect NSFW content
Tag and analyze images for NSFW content and characters
Check images for adult content
Object Detection For Generic Photos
Detect NSFW content in images
Detect and classify trash in images
Detect explicit content in images
Detect objects in an image
Identify inappropriate images or content
Image-Classification test
Analyze images to find tags and labels
Detect image manipulations in your photos
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.
• 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.
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.