# mindbrix/UIImage-PDF

Simple UIImage PDF renderer category for iOS scalable assets

Repository: https://github.com/mindbrix/UIImage-PDF
Canonical: https://ross.abutalabs.com/products/uiimage-pdf
Homepage: http://blog.mindbrix.co.uk/2012/02/10/ios-scalable-assets/
Language: Objective-C
License Family: other
Last push: 2023-03-31T17:10:00+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5435, "days_push": 1251, "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 1226, forks 152 (observed 2026-08-28T04:04:03.121188+00:00)

## What it is
An Objective-C UIImage category that renders PDF files into UIImages, enabling scalable vector assets in iOS apps. It supports rendering at specified sizes with aspect-ratio preservation, plus optional disk and memory caching of rendered output.

## Use cases
- render PDF vector assets as UIImages in an iOS app
- display scalable icons at any resolution without multiple asset sizes
- render a specific page of a PDF document to an image
- convert PDF data or URL into a UIImage at a given size
- cache rendered PDF images to improve app latency

## When to choose
- you have an Objective-C or Swift iOS project using PDF vector assets
- you need resolution-independent images rendered from PDFs at runtime
- you want transparent disk/memory caching of rendered PDFs

## When to avoid
- you need a full PDF viewer or document manipulation library
- your project targets platforms other than iOS
- you prefer a maintained Swift-native solution with active support

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, pdf, caching
- domain: mobile-development, graphics, pdf
- platform: -
- tags: uiimage-category, vector-assets, pdf-rendering, cocoa-touch, ios, mobile, objective-c

## Member repositories
- mindbrix/UIImage-PDF (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:03.121188+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 2026-08-30T06:15:20.339234+00:00, confidence not recorded.
  - readme: https://github.com/mindbrix/UIImage-PDF (fetched 2026-08-28T04:04:03.121188+00:00, sha 97c13aacef83)
- Data as of 2026-08-30T08:39:29.467469+00:00.