About PixelConvert Enterprise
High-performance browser & server-streamed image processing.
Our Engineering Philosophy
PixelConvert was created to solve a persistent web performance issue: heavy desktop image editing software and ad-riddled online converters that upload private user files to unverified cloud servers.
Our core architecture relies strictly on in-memory stream buffers using Python backend rendering engines (Pillow, pillow-heif, and vtracer). When you process an image, bytes pass directly through RAM memory without touching disk storage, ensuring privacy and zero data retention.
Technical Highlights
- Raster Vectorization: Native sub-pixel SVG tracing using high-precision path tracing.
- Alpha Channel Preservation: Smart transparent background flattening for JPEG formats with custom hex color pickers.
- HEIC / HEIF Modern Encoding: Native decode capabilities for modern mobile device images.