zahirscan 0.3.5

Token-efficient content compression for AI analysis using probabilistic template mining
Documentation

ZahirScan

Crates.io docs.rs Build Rust

"Others will dream that I am mad, while I dream of the Zahir." — JL Borges, Labyrinths

Template mining and metadata extraction across logs, documents, tabular/columnar data, media, archives, models, and more. CLI and library; streamable output for large path lists.

Quick start

cargo install zahirscan
zahirscan init   # optional: write ~/.config/zahirscan/zahirscan.toml
zahirscan -i application.log -o ./out

Without NetCDF: cargo install zahirscan --no-default-features. Optional ffprobe for rich A/V metadata.

Documentation
Overview Features, supported formats summary
Install Cargo, features, init
CLI Flags, output modes, examples
Supported formats Per-format metadata detail
Configuration · Architecture Tuning, phases, batching
Library extract_zahir, sinks, streaming
API (docs.rs) Rust types and functions
config.toml Full config schema (repo)

License

Dual-licensed under MIT or Apache-2.0.