CLI appDocument productivity

figure-extractor

Extracts complete paper figures with caption-aware, high-DPI crops and contact-sheet checks.

Stars: 2
Forks: 0
Updated: Updated Jun 29, 2026

CLI appDocument productivity

figure-extractor

Extracts complete paper figures with caption-aware, high-DPI crops and contact-sheet checks.

Stars: 2
Forks: 0
Updated: Updated Jun 29, 2026

CLI appDocument productivityLinux

evernote-backup

@vzhd1701Python

Back up Evernote or Yinxiang locally and export notes as ENEX files.

Stars: 1,669
Forks: 125
License: MIT

CLI appDocument productivityClaude Code

docx-cli

@kklimukTypeScript

Let agents read, edit, comment on, and redline Word files without losing formatting.

Project overview

docx-cli gives agents such as Claude and Codex commands for reading, editing, commenting on, and redlining Word documents. Text is addressed through stable paragraph-and-offset locators, while edits mutate the existing OOXML instead of rebuilding the file from a lossy document model. This preserves custom styles, theme colors, embedded objects, and other untouched content, and the resulting revision can still be accepted or rejected in Word. It can be installed as an Agent Skill or used through prebuilt standalone binaries on major desktop platforms.

Stars: 142
Forks: 7
License: MIT

CLI appDocument productivity

pdf-email-optimizer

@petehotteletPython

Shrink PDFs and Office documents to email-safe sizes while protecting visual quality.

Project overview

PDF Email Optimizer converts common Office files when needed, then reduces the resulting PDF toward a requested attachment limit through structural cleanup and controlled image recompression. It keeps the source untouched, reports the chosen strategy and quality trade-offs, and can render before-and-after pages for visual checks. Office inputs require LibreOffice, while unusually tight size targets may require an explicit lossy compression mode.

Stars: 1
Forks: 0
License: MIT

CLI appDocument productivityREST

pubmed-reference-resolver

@hikataya01-netizenPython

A PubMed reference resolver for citation extraction, lookup, and journal auditing.

Project overview

pubmed-reference-resolver extracts References sections from PDF, DOCX, or TXT files, resolves citations against PubMed, and writes a PubMed-compatible CSV, numbered abstract text, integrated audit report, and journal-mismatch JSON sidecar. It handles common citation styles, PDF line-number noise, an offline MDPI fast path, unresolved-reference preservation, composite-key deduplication, and possible fabricated-citation detection. Python 3.11+, Anthropic, and NCBI credentials are required.

Stars: 1
Forks: 0
License: MIT

figure-extractor

figure-extractor

Project overview

Repository facts

Related projects

evernote-backup

docx-cli

pdf-email-optimizer

pubmed-reference-resolver