GLM Image Metadata Extractor - Rust Implementation

This Rust implementation was inspired by glmimage.app. It provides efficient extraction and analysis of metadata from AI-generated images, including model signatures, generation parameters, and provenance tracking.

Features

• PNG Chunk Parsing: Pure Rust implementation for reading PNG chunks
• EXIF Metadata Extraction: Extract standard EXIF data from images
• AI Signature Validation: Verify and validate AI model signatures
• Provenance Tracking: Track the origin and generation parameters of AI images
• Memory Safety: Rust's ownership model ensures memory safety
• Zero-Copy Parsing: Efficient parsing with minimal allocations

Installation

cd rust
cargo build --release

Usage

Basic Usage

use glmimage_app_oss::{extract_ai_metadata, print_metadata_summary};

fn main() {
    match extract_ai_metadata("generated-image.png") {
        Ok(metadata) => print_metadata_summary(&metadata),
        Err(e) => eprintln!("Error: {}", e),
    }
}

Creating Metadata Programmatically

use glmimage_app_oss::{AIMetadata, validate_ai_signature};

fn main() {
    let mut metadata = AIMetadata::new()
        .with_model("GLM-4V-Image")
        .with_prompt("A beautiful sunset over mountains")
        .with_dimensions(1024, 1024);

    let is_valid = validate_ai_signature(&mut metadata);
    println!("Valid: {}", is_valid);
}

Running the Demo

cargo run --release

API Reference

extract_ai_metadata(image_path: &str) -> Result<AIMetadata, String>

Extracts AI metadata from an image file. Returns a Result containing AIMetadata or an error message.

validate_ai_signature(metadata: &mut AIMetadata) -> bool

Validates the AI model signature in the metadata. Returns true if valid.

embed_provenance_metadata(metadata: &mut AIMetadata, source: &str)

Adds provenance information to the metadata object.

print_metadata_summary(metadata: &AIMetadata)

Prints a formatted summary of the extracted metadata to the console.

Data Structures

pub struct AIMetadata {
    pub model: String,
    pub prompt: String,
    pub parameters: HashMap<String, String>,
    pub timestamp: String,
    pub provenance: String,
    pub signature: String,
    pub width: u32,
    pub height: u32,
    pub format: String,
}

Builder Pattern

The AIMetadata struct provides builder methods:

• .with_model(&str) - Set the model name
• .with_prompt(&str) - Set the prompt
• .with_dimensions(u32, u32) - Set width and height

Testing

cargo test

Linting

cargo clippy

Formatting

cargo fmt

Links

• Source: glmimage.app
• Repository: https://github.com/user/glmimage-app-oss
• Crates.io: https://crates.io/crates/glmimage-app-oss

License

MIT License - see LICENSE for details.