Try some of our ready-to-use AI models in seconds.
We have embedded these here using Cogniflow's Web App feature!
Compare two different photos of a person to verify if it is the same person.
You can use passports or IDs.
This is our newest Question Answering system powered by ChatGPT.
In this example the chatbot below has been trained with the content of the new videos released by YC Startup School.
More info here: https://www.ycombinator.com/blog/startup-school-videos
You can also build this chatbot for your documents and embed it on your website!
This is our Object detection pre-trained model using the COCO dataset which identifies 80 types of objects such as persons, dogs, cats, and many common life objects like tables, books, computers, cell phones, etc.
You can also build your own object detection model using Cogniflow. Learn more in this tutorial
OCR models recognize and extract text from images or scanned documents. They convert printed or handwritten text into editable and searchable formats. This model is typically used in digitizing physical documents, and automating data entry.
Speech recognition models convert spoken language into written text. They can transcribe audio recordings or interpret real-time speech. Speech recognition is utilized in virtual assistants, voice-controlled systems, transcription services, and accessibility applications.
Face Recognition models analyze facial features and patterns to determine like in this case, the similarity between two faces. These models are commonly used in applications such as social media platforms or security systems to recognize identity by comparing the face of a person with their ID or passport.
NER models extract and classify named entities, such as names, locations, organizations, or dates, from text. These models help analyze and understand unstructured text data and are used in information extraction, text summarization, or search engine applications.