Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age and Gender.
Use our Content Moderation API to flag possible inappropriate/ nude / adult content in your images.
Detect artificially added watermarks, texts and logos in images with an A.I. powered computer vision solution
Handwriting Recognition OCR - Convert scanned handwritten notes into editable text.
Detect and compare human faces. Identify previously tagged people in images. Recognize age, gender, and emotion in the photo.
EyeRecognize NSFW NuditySearch - Recognizing nudity is a highly complex problem. NSFW Nudity Search tackles this problem by recognizing anatomical attributes and determining if there is nudity or suggestive imagery in images. The service is useful for website or app owners looking to provide site safety, ad safety, and online profile verification. We provide 3 different settings of varying sensitivities depending on your tolerance for exposed skin (i.e. - lingerie and bikini).
PresentID Face verification API(photo id matching) evaluates whether two faces belong to the same person or not.
This API processes images and detects sexual content in them, marking the images as Safe For Work (SFW) or Not Safe For Work (NSFW).
The all-in-one face authentication system made for you to easily authenticate any unique face registered in your database. <br><br>알체라 인증 API를 통해 간편하게 얼굴인식 인증 시스템을 구축해보세요.
This ready-to-use API offers high-accuracy detection of different types of objects framing them with bounding boxes and predicting their class.
This ready-to-use API provides a pack of options in human face detection: face and landmarks detection, face re-identification of an already detected face.
This ready-to-use API provides high-accuracy brand detection and logo recognition.
Provided by OCRLy.biz, this image to text processor is very accurate and used by IT teams to convert images of error screenshots to text in their zendesk accounts for example.
This ready-to-use API provides recognition of labels on wine bottles covering more than 400 000 different labels. The results contain information about the brand of wine and its type.
PresentID Face Similarity API can detect a face in your image and shows the most similar image.
Computer-based visual recognition can identify faces, objects, text, and more in images and videos. Machines use vision technology in conjunction with artificial intelligence and camera software to differentiate between elements.
Visual recognition APIs use deep learning to identify the different elements of any given image. Through classification training, APIs can correctly separate faces, objects, landmarks, text, and more and even identify those that are not sufficient for work (NSFW).
Through vast pre-classified datasets and deep learning modalities, computers utilize artificial intelligence to analyze images and classify various objects within them using deep learning techniques.
Visual recognition APIs allow developers to incorporate this impressive technology into their websites, games, and applications.
There are many use cases for visual recognition, including:
Moreover, visual recognition technology is launching us into the future through enhancements in self-driving cars, added security in banking and shopping, and more.
Computer vision technology is a large ecosystem, and visual recognition APIs allow developers to tap into this powerful resource. Through vision recognition, computers can solve complex problems through image analysis. Furthermore, consumers benefit through ease of access for quicker logins, more intuitive shopping experiences, and faster access to information as they explore the world around them, among other things.
The possibilities are endless, and the more intuitive these artificial intelligence programs become the more businesses and consumers benefit.
A visual recognition API is only as good as the machine image dataset that it is tapped into. Therefore, developers need to analyze their needs and pair them with the company that offers the solutions they need for their application. Once this is done, the API should provide secure and accurate access that protects the user’s private information, such as location, and returns viable and precise information specific to the use case.
All Visual Recognition APIs are supported and made available in multiple developer programming languages and SDKs including:
Just select your preference from any API endpoints page.
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