# Install caire with Homebrew

Content aware image resize tool. Version 1.5.0 via Homebrew; verified 2026-07-27.

## Install

```sh
sudo av install brew:caire
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install caire
```

  Evidence: local Homebrew formula metadata

## Package facts

- **Package key:** brew:caire
- **Package manager:** Homebrew
- **Version:** 1.5.0
- **Source summary:** Content aware image resize tool
- **Homepage:** <https://github.com/esimov/caire>
- **Repository:** <https://github.com/esimov/caire>
- **Last updated:** 2026-07-27T19:20:55+02:00
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- caire (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 1.5.0
## Project history and usage

Caire is a Go content-aware image resizing tool and library based on seam carving, with command-line, batch, mask, face-detection, and preview features.

### Project history

The public repository was created in January 2018. The README defines Caire as a content-aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper and documents the algorithmic flow: energy-map generation, dynamic-programming seam selection, and repeated seam removal.

Caire grew beyond a minimal seam-carving demo into a CLI-oriented package with shrinking and enlarging, horizontal and vertical resizing, face detection through the author's Pigo library, stdin/stdout support, recursive concurrent directory processing, protective and removal masks, multiple image formats, and a GUI preview mode.

### Adoption history

Caire achieved broad visibility for a single-purpose media CLI: the GitHub project has far more stars than most Homebrew image utilities in this batch, and the README documents installation by go install and Homebrew. The project also advertises Snap and OpenFaaS integrations.

### How it is used

Users resize images with caire -in input.jpg -out output.jpg, optionally setting width, height, percentage, square output, masks, blur and Sobel thresholds, debug seam visualization, face protection, or directory input. It can also work in Unix pipelines by reading from stdin and writing to stdout.

### Why package nerds care

Caire is interesting because it packages a visually demonstrable computer-vision algorithm as a simple Go binary. For package managers it is the kind of niche CLI that proves image-processing research can become a one-command install.

### Timeline

- 2018: Public Caire repository created.
- 2021: 1.4.0 release published.
- 2023: 1.4.6 release published.
- 2025: 1.5.0 release published.

### Related projects

- The README names the original seam-carving paper as the algorithmic basis.
- Pigo, another project by the same author, is used for face detection to avoid face deformation.
- The README links Caire integrations for OpenFaaS and Snap.

### Sources

- <https://api.github.com/repos/esimov/caire>
- <https://api.github.com/repos/esimov/caire/releases>
- <https://github.com/esimov/caire#readme>


## Security Notes

broad file, network, media, or database tool signal.

- **Geiger risk:** blue / medium
- broad file, network, media, or database tool signal


## Combined YAML source

View the package source record on GitHub. [combined/caire.yml](https://github.com/mxcl/pkgdb/blob/main/combined/caire.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph