Pixlr

Pricing model
Paid
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Pixlr is a no-cost photo editing and design platform that incorporates AI-driven functionalities. It offers a range of tools for photo creation and modification, including a one-click background remover, an AI image generator, a collage maker, filters and effects, and professionally designed templates. A premium version with extra features and tools is also available.

Similar neural networks:

Paid
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AI-driven tools for image enhancement with minimal delay. They deliver top-notch APIs that come with straightforward documentation and economical pricing for smaller projects, allowing for scalable expansion whenever needed. The services include image inpainting, background removal, style transfers, low light enhancement, auto-fixing, super resolution, automatic image captioning, and tagging. Additionally, it integrates with REST software, enhancing digital efficiency in the user's workflow.
Paid
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Palette is an AI-driven colorization platform enabling users to swiftly convert black and white photos into vivid, true-to-life color images. By leveraging sophisticated algorithms, machine learning, and easy customization features, Palette is relied upon by professional colorists and achieves lively skin tones, brilliant colors, and precise detail management. It offers free low-resolution results, with the option to buy credits for high-resolution downloads. The platform works seamlessly with up-to-date Chrome and Safari browsers and supports PNG and JPEG files up to 25 megapixels.
Freemium
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Cloudinary provides a robust media API and suite of products. It includes programmable media integrations, digital asset management, and image and video APIs for enhanced visual experiences, alongside tools to boost engagement, revenue, and team productivity. It can scale to manage millions of product images and videos, facilitating high-performing PLPs, PDPs, and shopping experiences. The platform is cloud-native, offering a comprehensive range of APIs and microservices, along with a full video API featuring real-time video transcoding, content-aware compression, and dynamic video transformation.