Skip to main content

quickslides

Convert Markdown files to PDF slides presentations, using typst and typeslides.

Usage

Command Line

# Basic usage
quickslides your_presentation.md

# Specify output typst file
quickslides your_presentation.md --no-compile -o custom_output.typ

As a Library

from quickslides import convert_markdown_to_typst

# Read markdown content
with open("your_presentation.md", "r") as f:
    markdown_content = f.read()

# Convert to typst
typst_content = convert_markdown_to_typst(
    markdown_content,
    title="My Presentation",
    subtitle="A great presentation",
    author="Your Name",
    info="2025-03-29"
)

# Save the output
with open("presentation.typ", "w") as f:
    f.write(typst_content)

Markdown Format

  • Use front matter to specify presentation metadata
  • Use # (H1) to define sections (will create a section slide with the header text)
  • Use ## (H2) for content slides

Example:

---
title: My Presentation
subtitle: A subtitle
author: Your Name
date: 2025-03-29
---

# Introduction

This is a section slide.

## First Content Slide

- This is bullet point 1
- This is bullet point 2

## Second Content Slide

**Bold text** and *italic text*

Requirements

Metadata

Release files for quickslides 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for quickslides 0.1.7
File Size Uploaded
quickslides-0.1.7.tar.gz 127.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for quickslides 0.1.7
File Interpreter ABI Platform
quickslides-0.1.7-py3-none-any.whl Python 3 none any Details

Total release size: 251.0 kB

Release files / quickslides-0.1.7.tar.gz

Download URL quickslides-0.1.7.tar.gz
Size 127.8 kB
Tags Source
SHA-256 checksum
How to use checksums
5943c96c60a6cfd764e2af894c528514e26d0cfe784383808c51bf219314ef77
BLAKE2b-256 checksum
How to use checksums
ef1e0f9da2873562c69e658d4e067c466349adbb91586788a46770ab5d9cb289
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 7, 2025.

Transparency log

Release files / quickslides-0.1.7-py3-none-any.whl

Download URL quickslides-0.1.7-py3-none-any.whl
Size 123.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1b983778e08b1bfdf28158b4d401fc80673edf839159eca31563c26cb7f16f21
BLAKE2b-256 checksum
How to use checksums
57b2da2e8e01afe27f28ca0bf273a073abc12705bc05abfa8fd8b3a7efddd37b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 7, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.7 This release

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page