TinyPNG
TinyPNG (by Tinify) is a free image optimization service built for developers and designers. It uses smart lossy compression to reduce JPEG, PNG, WebP, and AVIF file sizes by up to 80% with no visible quality loss. That means faster load times, better SEO, and lower bandwidth.
You can compress, convert, and resize images via a clean web interface or integrate it into your workflow with the API. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. WordPress plugin included, plus plenty of community-driven integrations.
No tuning, no noise, Tinify just works. Whether you're optimizing a handful of images or processing millions, it scales effortlessly. All plans include a generous free tier, and support is quick when you need it.
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Picsart Enterprise
AI-powered Image & video editing for seamless integration.
Picsart Creative is a powerful suite of AI-driven tools that will enhance your visual content workflows. It's a great tool for entrepreneurs, product owners and developers. Integrate advanced image and video editing capabilities into your projects.
What We Offer
Programmable Image APIs - AI-powered background removal and enhancements.
GenAI APIs - Text-to-Image Generation, Avatar Creation, Inpainting and Outpainting.
AI-powered video editing, upscale and optimization with AI-programmable Video APIs
Format Conversion: Convert images seamlessly for optimal performance.
Specialized Tools: AI Effects, Pattern Generation, and Image Compression.
Accessible to everyone:
Integrate via automation platforms such as Make.com and Zapier. Use plugins to integrate Figma, Sketch GIMP and CLI tools. No coding is required.
Why Picsart?
Easy setup, extensive documentation and continuous feature updates.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesnāt necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Image Thumbnail CP SDK ActiveX x64
Support for creating 64 bit and 32-bit Image Thumbnail applications.
Support code base that runs on both 64-bit and 32 bit architecture. Supports PDF, BMP GIF ICO JPEG J2K JP2, JPC J2C PCX PNG PSD TIF WMF WBMP TGA PGX RAS PNM PNM and customizable file formats. Image quality control and fast loading. Allow the user to define Clip Size at runtime or during design.
Support Get PDF information including PDF Width, PDF Height, Total PDF Pages, PDF Authors, PDF Titles, PDF Subjects, PDF Keywords, PDF Version Numbers, PDF Modify Dates, and PDF Creation Dates.
Support for selecting multiple clips programmatically. Support for custom-defined text for each image clip.
Support loading of image clips from folder.
Support for thumbnails of all pages in TIFF and PDF multi-page files.
Support the return of the number of clips visible in the visible area.
Include Access, c# 2019 c# 2010, Visual C, Visual Basic 6, Visual Foxpro and VB.NET 2010.
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