Official Integration & SDK
Async Zero-Allocation Image Optimization Pipeline for Rust
Integrate SmallPict inside high-throughput backend services written in Actix-Web, Axum, or Tokio. Process and upload media buffers with maximum memory efficiency.
Install:
RUST Packagecargo add smallpict-rsImplementation Example
rustuse smallpict_rs::{SmallPictClient, OptimizeOptions, ImageFormat};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = SmallPictClient::new("sp_live_secret_key_xxxxx")?;
let image_bytes = tokio::fs::read("input.jpg").await?;
let optimized = client.optimize(&image_bytes, OptimizeOptions {
format: ImageFormat::Avif,
quality: 80,
max_width: Some(1920),
strip_metadata: true,
}).await?;
tokio::fs::write("output.avif", optimized.bytes).await?;
println!("Savings: {}% ({}ms)", optimized.savings_percentage, optimized.duration_ms);
Ok(())
}Integration Steps
11. Add Dependency
Add smallpict-rs to your Cargo.toml file.
22. Initialize Client
Instantiate SmallPictClient with your API Key or environment variable.
33. Optimize Byte Stream
Stream raw image bytes and receive compressed AVIF/WebP buffers asynchronously.
Key Benefits
- Async non-blocking I/O powered by Tokio & Reqwest
- Zero memory leaks & thread-safe client design
- Direct stream buffer processing without local disk writes
- Sub-40ms execution time
Official Developer Documentation
Need Complete Implementation Guides & API Specs?
Explore parameter references, authentication mechanisms, error codes, and local testing instructions in our official Rust Crate developer guide.
Supercharge Your Rust Crate Image Pipeline
Experience sub-50ms AVIF and WebP image optimization in your application. Zero setup fee, instant sandbox keys, and unlimited scalability.
