
Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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From ideation to the final edits of your video, you can control every aspect using AI on a single platform. We are pioneering the integration between AI and video production. This allows the transformation of an idea into a cohesive AI-generated video. LTX Studio allows individuals to express their visions and amplifies their creativity by using new storytelling methods. Transform a simple script or idea into a detailed production. Create characters while maintaining their identity and style. With just a few clicks, you can create the final cut of a project using SFX, voiceovers, music and music. Use advanced 3D generative technologies to create new angles and give you full control over each scene. With advanced language models, you can describe the exact look and feeling of your video. It will then be rendered across all frames. Start and finish your project using a multi-modal platform, which eliminates the friction between pre- and postproduction.
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LuxCoreRender
LuxCoreRender is an unbiased rendering engine that uses a physically based approach to create high-quality images. Leveraging cutting-edge algorithms, it accurately simulates light's behavior according to fundamental physical principles, resulting in images that resemble real-life photographs. Built upon these physical equations, LuxCoreRender effectively models the journey of light through various mediums. The software utilizes OpenCL technology, allowing it to harness the power of multiple CPUs and GPUs simultaneously for enhanced performance. Notably, LuxCoreRender is constantly available as free software for both personal and commercial use, ensuring widespread accessibility. A testament to its capabilities can be seen in the impressive works created by its users. The engine offers a diverse array of material types, including realistic representations of metals, glass, and automotive paint, alongside standard options like matte and glossy finishes. Additionally, LuxCoreRender provides features for dynamic and interactive scene editing, enabling users to modify their projects in real-time for optimal results. This flexibility makes LuxCoreRender an invaluable tool for both hobbyists and professionals alike.
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Render[in]
Render[in] is a comprehensive, real-time radiosity engine designed specifically for users of SketchUp, both Free and Pro versions. Leveraging the capabilities of Artlantis 6.5’s rendering technology, Render[in] 3 provides SketchUp users with stunning, high-definition photorealistic images through a user-friendly interface. In the realm of rendering, just as in photography, accurately capturing color is crucial. The enhanced global illumination engine in Render[in] significantly elevates the quality of images, offering improved clarity for colors, textures, and materials. With the introduction of ISO and Shutter settings, adjusting the lighting in a scene has become more accessible than ever, allowing for greater creative control. This ensures that users can achieve the precise visual effects they desire in their projects.
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