Detect artificially added watermarks, texts and logos in images with an A.I. powered computer vision solution
Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age and Gender.
The OpenALPR Cloud API is a web-based service that analyzes images for license plates as well as vehicle information such as make, model, and color. The Cloud API service is easy to integrate into your application via a web-based REST service. When you send image data to the OpenALPR API, we process that data and return JSON data describing the license plate and vehicle.
Use our Content Moderation API to flag possible inappropriate/ nude / adult content in your images.
Handwriting Recognition OCR - Convert scanned handwritten notes into editable text.
User Friendly Optical Character Recognition (OCR) API for text extraction from images / PDF with great accuracy. Works well as an image to text / PDF to text solution. | [PDF / Image to Text Online Converter](https://nanonets.com/image-to-text?&utm_source=rapidapi) | [PDF / Image to CSV Online Converter](https://nanonets.com/convert-pdf-to-csv?&utm_source=rapidapi) | [Python Code OCR Tutorial](https://nanonets.com/blog/pdf-ocr-python) | [Enterprise OCR and IDP Solutions](https://nanonets.com...
Vehicle Identification Number (VIN) Recognition Model 3.0 (VIN OCR) which can accurately and swiftly extract VIN from various images. This model is equipped with advanced Optical Character Recognition (OCR) technology and a decoder. It can not only accurately read the VIN but also get basic vehicle information such as make, model, year based on the VIN. [View documents](https://rapidapi.com/dominonet-lTpEE6zONeS/api/vin-recognition/details)
PresentID Face verification API(photo id matching) evaluates whether two faces belong to the same person or not.
Automatically removes the background from vehicle images and outputs lossless compressed transparent background PNG images without affecting the visual appearance and avoiding large file sizes.
This API processes images and detects sexual content in them, marking the images as Safe For Work (SFW) or Not Safe For Work (NSFW). [![Examples](https://img.shields.io/badge/View%20examples-gray?logo=gitlab&style=flat)](https://gitlab.com/api4ai/examples/nsfw) [![API4AI](https://img.shields.io/badge/api4.ai%20platform-fee33c?logo=icloud&flat&logoColor=black)](https://api4.ai/apis/nsfw?utm_source=nsfw_rapidapi&utm_medium=endpoints&utm_campaign=rapidapi) [![Telegram](https://img.shields.io/ba...
Automated language detection (hybrid approach) and text extraction from diverse types of images, including handwritten ones. Supports a wide range of formats including JPEG, PNG8, PNG24, GIF, BMP, WEBP, RAW, and ICO.
A comprehensive solution for face recognition and analysis, integrated with a dedicated database. It accurately identifies the location of human faces, provides recognized unique identifiers (UIDs), incorporates liveness detection, determines age and gender, analyzes facial expressions (emotions), and includes facemask detection functionality.
Adult content detection technology identifies explicit content in images that are not safe for work or other public places. Our AI model detects exposed parts of a body and classifies if they are considered NSFW content.
This ready-to-use API offers high-accuracy detection of different types of objects, framing them with bounding boxes and predicting their class. [![Examples](https://img.shields.io/badge/View%20examples-gray?logo=gitlab&style=flat)](https://gitlab.com/api4ai/examples/general-det) [![API4AI](https://img.shields.io/badge/api4.ai%20platform-fee33c?logo=icloud&flat&logoColor=black)](https://api4.ai/apis/object-detection?utm_source=general_det_rapidapi&utm_medium=endpoints&utm_campaign=rapidapi) ...
Using advanced adversarial generative network technology, we can break through the "next generation wall" with one click, retain user features in multiple dimensions to achieve the effect of a thousand faces, and with a variety of comic style image migration, we can generate highly cute comic faces with artistic beauty for users.Based on the stylized special effects solution-EffectGAN with small sample generation technology, the intelligent creation team creates a variety of special effects. ...
Extract structured text and portraits from various ID cards, passports, driver's licenses, etc. Support for 200+ countries and regions and 10,000+ document types. It can also recognize MRZ and QR/BarCodes.
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. [![Examples](https://img.shields.io/badge/View%20examples-gray?logo=gitlab&style=flat)](https://gitlab.com/api4ai/examples/face-analyzer) [![API4AI](https://img.shields.io/badge/api4.ai%20platform-fee33c?logo=icloud&flat&logoColor=black)](https://api4.ai/apis/face-analysis?utm_source=face_analyzer_rapidapi&utm_medium=endpoints&utm_campaign...
Use the license plate or car plate recognition and detection API to detect the vehicle number plate in a frame.
Extract texts from images with very high accuracy and supports all languages of the earth.
This Fashion API offers an image class-prediction algorithm for clothes and accessories. [![Examples](https://img.shields.io/badge/View%20examples-gray?logo=gitlab&style=flat)](https://gitlab.com/api4ai/examples/fashion) [![API4AI](https://img.shields.io/badge/api4.ai%20platform-fee33c?logo=icloud&flat&logoColor=black)](https://api4.ai/apis/fashion?utm_source=fashion_rapidapi&utm_medium=endpoints&utm_campaign=rapidapi) [![Telegram](https://img.shields.io/badge/-Telegram%20demo-white?logo=tele...
Visual Recognition APIs
About Visual Recognition
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.
What is a Visual Recognition API?
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).
How does a Visual Recognition API work?
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.
Who can benefit from Visual Recognition APIs?
There are many use cases for visual recognition, including:
- Google image search, which will return images like the one uploaded by the user
- Improving gaming technology by enhancing the realism of graphics
- Identifying landmarks while traveling by snapping a picture and having the program return facts and history
- Helping companies monitor consumer behavior
- Face recognition login built into applications
- More accessible shopping experiences - for example, snapping a picture of a favorite outfit and the API returns designer information, where to buy, and price comparisons
Moreover, visual recognition technology is launching us into the future through enhancements in self-driving cars, added security in banking and shopping, and more.
Why are Visual Recognition APIs necessary?
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.
What can you expect from a Visual Recognition API?
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.
Are there examples of free Visual Recognition APIs?
- Face Detection
- NSFW Image Classification
- Microsoft Computer Vision
- Image Labeling
- Pen to Print Handwriting OCR
- Google AI Vision
- Face Verification
- Microsoft Content Moderator
- Background Removal
Visual Recognition API SDKs
All Visual Recognition APIs are supported and made available in multiple developer programming languages and SDKs including:
- Java (Android)
- C# (.NET)
Just select your preference from any API endpoints page.
Sign up today for free on RapidAPI to begin using Visual Recognition APIs!