# danielgtaylor/jpeg-archive

Utilities for archiving JPEGs for long term storage.

Repository: https://github.com/danielgtaylor/jpeg-archive
Canonical: https://ross.abutalabs.com/products/jpeg-archive
Language: C
License Family: other
Last push: 2025-03-03T18:05:11+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 9, release rhythm 8, longevity 100
- inputs: {"age_days": 4623, "days_push": 548, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1183, forks 131 (observed 2026-08-28T04:03:54.504772+00:00)

## What it is
A set of command-line utilities for archiving JPEG photos for long-term storage or web serving. It re-encodes JPEGs to the smallest quality that preserves perceived visual quality, typically saving 30-70% of file size, and can identify duplicate or similar photos.

## Use cases
- compress a folder of jpeg photos for long-term archival storage
- reduce jpeg file sizes without visible quality loss
- find duplicate or similar photos in a collection
- batch recompress dslr photos to save disk space
- optimize jpegs for serving over the web
- compress raw files to jpeg in bulk

## When to choose
- you have large collections of camera jpegs and want to cut storage costs
- you want visually lossless compression with sane defaults
- you need a scriptable cli that parallelizes across cpu cores

## When to avoid
- you need lossless jpeg compression
- you work with non-jpeg formats like png or webp
- you need a gui tool

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: image-processing, compression, cli
- domain: photography, files
- platform: windows, cli
- tags: jpeg, photo-archiving, lossy-compression, duplicate-detection, exif, command-line, linux, macos

## Member repositories
- danielgtaylor/jpeg-archive (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.504772+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:24:33.296228+00:00, confidence not recorded.
  - readme: https://github.com/danielgtaylor/jpeg-archive (fetched 2026-08-28T04:03:54.504772+00:00, sha 0ea1ddd3ec92)
- Data as of 2026-08-30T08:39:29.467469+00:00.