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Use sora2 to create realistic AI videos with synchronized audio instantly. Physics-accurate motion, cinematic quality. 10 free credits, no credit card needed. Try Sora 2 now! | ngram is an agentic AI video creation platform designed to turn raw inputs (documents, PDFs, URLs, prompts, screen recordings, or rough ideas) into polished, on-brand, professional videos in minutes. Unlike basic video editors or screen recorders, ngram plans before it renders: it researches context, builds a storyboard, writes scripts, generates voiceovers, edits footage, and applies motion graphics, while keeping the user fully in control. It is built specifically for product teams, marketers, founders, and content creators who need high-quality videos repeatedly without a dedicated video production team. |
video image | re Value Proposition From idea to publish-ready video in under 5 minutes Storyboard-first workflow (control before generation) Context-aware AI (audience, goal, platform, tone) On-brand consistency across teams Multi-format output from a single project |
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Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

scikit-image is a collection of algorithms for image processing.

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

Zencoder downloads the video and converts it to as many formats as you need. Every output is encoded concurrently, with virtually no waiting—whether you do one or one hundred. Zencoder then uploads the resulting videos to a server, CDN, an S3 bucket, or wherever you dictate in your API call.

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.