Ross ROSS = Recommend OSS · open-source software intelligence for agents

mzucker/noteshrink

Convert scans of handwritten notes to beautiful, compact PDFs observed · 2026-08-28

github.com/mzucker/noteshrink · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3648
  • days_rel: n/a
  • days_push: 896
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4841 stars · 352 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python command-line script that cleans up scans and photos of handwritten notes by separating background from ink, quantizing colors, and dramatically reducing file size before bundling pages into a compact PDF. It relies on NumPy, SciPy, Pillow, and ImageMagick and is invoked as a simple batch command over input images.

Use cases

  • compress scans of handwritten notes into small pdfs
  • clean up messy backgrounds on scanned notebook pages
  • reduce the file size of scanned documents before sharing
  • convert photos of whiteboard or lecture notes into readable pdfs
  • remove gray or colored scanner background from page images
  • batch process scanned page images into one pdf

When to choose

  • You have scans or photos of handwritten notes with off-white backgrounds you want cleaned, contrast-enhanced, and shrunk
  • You want a lightweight scriptable CLI to batch-convert scanned images into small PDFs for posting online
  • File size matters more than searchable text, e.g. sharing lecture notes with a class

When to avoid

  • You need OCR or searchable/selectable text in the output PDF - it only embeds cleaned images
  • You prefer a GUI - it is a command-line script with many tunable numeric flags
  • Your source material is dense printed or photographic content, where its palette-quantization approach is tuned for handwriting and may degrade detail
  • You expect active maintenance or modern Python packaging - the project is largely dormant since its 2016 debut

Facets

cli-tool · maturity maintenance

image-processing pdf compression cli image-processing pdf files education developer-tools python cli windows cross-platform handwritten-notes scan-cleanup document-scanning color-quantization image-compression pdf-generation note-taking command-line linux macos

3 sources

Member repositories

RepositoryRoleHealth v2
mzucker/noteshrinkmain32

For agents

markdown · JSON · MCP: product_card(name="mzucker/noteshrink")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem