Convert a LaTeX Beamer conference talk into a PowerPoint file to share with colleagues who do not use LaTeX
Preserve step-by-step overlay animations from Beamer when moving slides to PowerPoint for a corporate presentation
Transfer embedded videos from a Beamer file into a PowerPoint with autoplay and loop settings intact
Requires a working LaTeX installation in addition to Python.
This tool converts presentation files made with LaTeX Beamer into PowerPoint files. LaTeX Beamer is a system academics and researchers commonly use to build slides with precise formatting, math equations, and structured layouts. The problem is that when you try to bring those slides into PowerPoint, the output usually looks blurry or loses interactive features. This tool addresses that by converting each slide into a crisp vector image that stays sharp at any zoom level. One of the more useful things the tool handles is overlays. In Beamer, a presenter can reveal content one piece at a time using pause commands and similar techniques, which creates a step-by-step reveal effect during a talk. This tool detects those multi-step slides and turns each step into its own PowerPoint slide, so clicking through the presentation feels similar to the original. The tool also extracts videos that were embedded in the original Beamer file and places them directly into the PowerPoint as native video shapes. It supports two different LaTeX video packages and preserves settings like autoplay and looping where those are available. If you already have a compiled PDF version of the slides, you can convert from that directly, though videos will not carry over in that case. Installing the tool requires Python and a working LaTeX installation on your computer. Once installed, converting a file takes a single command pointing at your .tex source file. You can also specify an output filename or choose a different LaTeX engine if your project needs one. The repository includes several example files covering different scenarios: basic math and lists, transitions, images, bibliographies, and various video embedding setups. The project is open source under the MIT license. The author notes in the README that it was mostly built using AI coding assistants.
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