Neural.love

Neural.love is a browser-based AI creative platform that bundles image generation, photo restoration, video enhancement, and audio repair into a single credit-based dashboard. The company was founded in 2020 by Denis Shiryaev, an IT specialist based in Gdansk, Poland who had been blogging about machine learning as a hobby. His breakthrough moment came when he used open-source AI models to upscale a grainy 1896 archival film of a train to 4K resolution and 60fps, a project that went viral with a million views overnight and put neural.love on the map. Notably, the company has remained self-funded and profitable rather than raising venture capital, with Shiryaev stating the team wanted to prove out a working product and real market demand before taking outside money.

At its core, Neural.love offers two main product lines: AI Generators and AI Enhance. The generation side includes an AI Art Generator built on Stable Diffusion for text-to-image creation with curated style presets, alongside an AI Photo Studio that turns a single uploaded photo into multiple styled AI portraits and avatars in about 30 seconds. The enhancement side is where the platform originally built its reputation, offering AI upscaling that enlarges low-resolution images up to 4x using models trained specifically for different content types, whether that's a portrait, an anime illustration, or a video frame, alongside dedicated tools for restoring and colorizing old or damaged photographs and film.

Beyond its core image tools, Neural.love extends into video enhancement (improving resolution, frame rate, and stability) and audio quality repair (boosting sample rates up to 48 kHz), along with background removal and replacement, uncropping, and text-based image editing. A public API lets developers, agencies, and businesses integrate the platform's generation and enhancement capabilities directly into their own products, drawing from the same shared credit pool as the web application. The entire platform runs in-browser with no installation or dedicated hardware required, making it accessible on any device.

Neural.love runs on a credit system: free users get 5 signup credits plus limited daily art generations (with a watermark and restricted downloads), while paid tiers range from a $30/month subscription for 300 credits to pay-as-you-go credits at roughly $0.17 each with no monthly commitment. This makes Neural.love best suited for photographers, content creators, and small teams who want an affordable, all-in-one hub for occasional image generation, photo restoration, and light video or audio touch-ups, rather than heavy, daily video production workflows where credit costs can add up quickly and a dedicated video-first tool may be more cost-effective.

Neural.love uses a credit-based pricing model. The free plan offers 5 signup credits plus limited daily art generations, though outputs carry a watermark and downloads are restricted. The Subscription plan costs $30/month for 300 credits, with credits rolling over monthly and shared access across the web app and API; a lower-tier subscription starting around $10/month is also referenced for smaller monthly credit allocations. A Pro plan offers credits at roughly $0.08-$0.10 each with volume discounts for larger purchases, while a Pay-As-You-Go option charges about $0.17 per credit with no monthly subscription, credits valid for one year, and access to all tools including batch processing up to 100 images. Video and audio enhancement, along with watermark removal, require paid credits rather than being available on the free tier. Larger business and bulk credit packs are also available for high-volume users.