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Releases: Phoenixxo/texcopy

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v0.1.1

v0.1.1 Latest
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@github-actions github-actions released this 27 Oct 05:38
v0.1.1
e7d1163

Added

  • The window says "Copied to the clipboard" after it copies.
  • texcopy --uninstall removes the models, the helper and the settings texcopy downloaded. --dry-run only lists them. On Linux, install.sh --remove --purge does it too.
  • Human and exact output modes: --mode human|exact (or TEXCOPY_MODE) and a mode choice in the window. --raw means exact.
  • TEXCOPY_CONFIG_DIR moves the window's settings folder.

Changed

  • Human mode cleans more: spacing macros at the ends of a formula, braces around cells in aligned, array and similar environments, {}= after an &, and \; between plain symbols.
  • The vision engine's math gets the same cleanup.
  • The window is wider to fit the mode buttons.
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v0.1.0

v0.1.0

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@github-actions github-actions released this 11 Oct 08:33
v0.1.0
827e252

First release.

Added

  • Read an image of LaTeX-rendered content and put its LaTeX on the clipboard: single formulas, sentences with inline math, numbered and unnumbered display equations, lists, headings and tables.
  • A small window (a Capture button, wrap and engine options, the output text) and a texcopy command with JSON output.
  • Two engines: a 118 MB formula model that runs in the program, and an optional vision model (OvisOCR2 through a local llama-server) with a guided, checksum-verified download.
  • The window loads the vision engine while you drag the box, and unloads it when it's idle.
  • Region selection through the OS's own tool (macOS screencapture, the common Linux screenshot tools) or texcopy's built-in overlay.
  • Downloads for macOS (.app), Windows (a zip with a launcher that has no console) and Linux (a tarball with an installer), built by a release workflow.
  • A benchmark that re-renders the output and compares it with the original (tools/bench.py).
  • A seeded case generator written in Rust (tools/gen) that makes benchmark pictures with real LaTeX tools, and texcopy --batch to read many images with one loaded engine.
  • Downloads include a license notices file, generated by tools/third_party_licenses.py.

Known issues

  • The output will be wrong or badly formed in plenty of cases, so proofread it. docs/BENCHMARKS.md lists the kinds I know about, and issues and pull requests are welcome.
  • I've only run it by hand on macOS (Apple Silicon). The Windows and Linux builds are built and tested by CI but haven't been tried on real machines yet.
  • Styling that isn't part of the content (bold, italic, vertical table rules) doesn't come back.
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