Introduction

“Transform pixels at the speed of Rust.”

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What is DevPixelForge?

• dpf — A compiled Rust binary that accepts JSON jobs via stdin and returns results via stdout. It handles all heavy lifting: image decoding, pixel manipulation, FFmpeg-based video/audio processing, and parallel batch execution.
• Go bridge — A thin Go client package (dpf) that spawns and communicates with the Rust binary. It exposes typed job structs and two client modes for different performance needs.

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Supported operations

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Key features

• High performance — Rust-powered with parallel processing via Rayon; LTO-optimized release binary
• Multiple formats — PNG, JPEG, WebP, AVIF, GIF, ICO, SVG, MP4, WebM, MP3, AAC, Opus, FLAC
• Two client modes — One-shot (simple, stateless) and Streaming (persistent process, low latency)
• Static binary — musl-compiled for zero-dependency deployment across Linux distributions
• Smart image operations — Focal point cropping, entropy-based selection, auto-quality binary search
• Inline output — Base64-encoded results for serverless and streaming use cases

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How it works

┌─────────────────┐      JSON/stdio      ┌──────────────────┐
│   Go Bridge     │◄────────────────────►│   dpf (Rust)     │
│  (Client)       │   stdin/stdout       │  (Engine)        │
└─────────────────┘                      └──────────────────┘

1. Your Go code creates a job struct (e.g., ResizeJob) and calls the client
2. The Go client serializes it to JSON and sends it to the Rust binary via stdin
3. The Rust engine processes the job and writes a JobResult JSON to stdout
4. The Go client deserializes the response and returns it to your code