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Convert Typst presentations (Touying) to editable PowerPoint files

Project description

typ2pptx

Convert Typst presentations (using the Touying framework) to editable PowerPoint (.pptx) files.

Features

  • Editable text: All text is extracted as editable, selectable, copyable PowerPoint text (not rasterized images)
  • Font variants: Detects and preserves regular, bold, italic, bold-italic, and monospace text styles
  • Math formulas: Inline math rendered as Cambria Math text with PPTX-native sub/superscript baseline offsets (auto-sized by PowerPoint); display math rendered as native DrawingML curve shapes (glyph outlines) grouped per formula
  • Heuristic math mode: Auto-classifies formulas as simple (text) or complex (glyph curves) for best rendering; stacked fractions (e.g. $1/2$) are auto-detected and routed to glyph mode
  • Native shapes: Converts SVG shapes (rectangles, circles, ellipses, lines, paths, polygons) to native DrawingML custom geometry
  • Gradient fills: Supports SVG linear gradients converted to PowerPoint gradient fills
  • Transparency/opacity: Full support for alpha channels in colors (#RRGGBBAA, rgba), fill-opacity, and element opacity
  • Hyperlinks: External links from Typst #link() are preserved as clickable hyperlinks in PowerPoint; internal document links are rendered as normal text without hyperlink styling; theme-level hyperlink colors are neutralized to prevent default blue/purple override
  • Speaker notes: Extracts Touying speaker notes via typst.query() (Python package) and attaches them to slides
  • Color preservation: Supports hex, rgb(), rgba(), named CSS colors, and per-character coloring
  • Multi-run textboxes: Groups same-line text segments into single textboxes with multiple styled runs
  • Paragraph alignment: Auto-detects left, center, right, and justify alignment from Typst layout
  • Code blocks: Syntax-highlighted code blocks rendered with Consolas font, preserving per-token colors
  • Images: Supports embedded (data URI) and external image references (PNG, SVG, PDF); SVG/PDF images rasterized to PNG with transparent background via the typst Python package
  • Tables: Table content (cells, headers, colored fills) converted to text and shapes

Prerequisites

  • Python 3.9+
  • typst (Python package, v0.14+): For speaker notes extraction and SVG/PDF image rasterization
    • Installed automatically via pip
  • typst-ts-cli (v0.6.0+): For compiling .typ files to SVG with foreignObject text overlays

Installation

From PyPI (recommended)

pip install typ2pptx

After installation, the typ2pptx CLI command is available system-wide.

Usage

Command Line

# Convert a Typst presentation to PPTX
typ2pptx slides.typ -o slides.pptx

# Convert with verbose output
typ2pptx slides.typ -o slides.pptx -v

# Convert from pre-compiled SVG (no typst-ts-cli needed)
typ2pptx slides.artifact.svg -o slides.pptx

# Specify project root directory (for resolving imports/paths)
typ2pptx slides/main.typ -o slides.pptx --root .

# Specify custom tool paths
typ2pptx slides.typ -o slides.pptx \
    --typst-ts-cli /path/to/typst-ts-cli

# Math rendering mode options
typ2pptx slides.typ -o slides.pptx \
    --inline-math-mode auto \      # "text", "glyph", or "auto" (default: auto)
    --display-math-mode glyph      # "text", "glyph", or "auto" (default: glyph)

Math Rendering Modes

Mode Inline Math Default Display Math Default Description
text Cambria Math font Cambria Math font Renders math as editable text runs
glyph Glyph curves Glyph curves Renders math as native DrawingML shapes (pixel-perfect)
auto Heuristic Heuristic Simple formulas as text, complex ones (integrals, matrices, stacked fractions) as glyph curves

Python API

from typ2pptx.core.converter import convert_typst_to_pptx

# Simple conversion
convert_typst_to_pptx("slides.typ", "slides.pptx")

# With options
convert_typst_to_pptx(
    "slides.typ",
    "slides.pptx",
    typst_ts_cli="/path/to/typst-ts-cli",
    root="/path/to/project/root",
    verbose=True,
)

# Convert from SVG directly
convert_typst_to_pptx("slides.artifact.svg", "slides.pptx")

Advanced: Step-by-step conversion

from typ2pptx.core.converter import (
    compile_typst_to_svg,
    query_speaker_notes,
    TypstSVGConverter,
    ConversionConfig,
)

# Step 1: Compile to SVG
svg_path = compile_typst_to_svg("slides.typ")

# Step 2: Extract speaker notes
notes = query_speaker_notes("slides.typ")

# Step 3: Convert to PPTX with custom config
config = ConversionConfig(
    verbose=True,
    inline_math_mode="auto",     # "text", "glyph", or "auto"
    display_math_mode="glyph",   # "text", "glyph", or "auto"
)
converter = TypstSVGConverter(config)
converter.convert(svg_path, "slides.pptx", speaker_notes=notes)

How It Works

Pipeline

Typst (.typ)
    |
    v
typst-ts-cli  -->  SVG (with foreignObject text overlays)
    |
    v
typst.query() -->  Speaker notes (pdfpc JSON format, via Python package)
    |
    v
typ2pptx    -->  PowerPoint (.pptx)

Architecture

  1. SVG Parser (typst_svg_parser.py): Parses the typst.ts SVG structure, which uses:

    • Glyph outlines as <path> + <use> references (for rendering)
    • <foreignObject> overlays with HTML text (for selection/copy)
    • scale(S, -S) transforms with Y-axis flipping
    • 5-character hash prefixes per font variant
    • <a> hyperlink elements with <rect> bounding boxes for link regions
  2. Font Variant Detection: Identifies font styles by analyzing glyph paths:

    • Quadratic curves (Q commands) indicate monospace fonts
    • Glyph width comparison differentiates bold from italic
    • Unicode math character detection (U+1D400+) identifies math fonts
    • Usage frequency determines the regular (body text) font
  3. Shape Converter: Uses the ppt-master svg_to_shapes.py pipeline:

    • parse_svg_path() -> svg_path_to_absolute() -> normalize_path_commands() -> path_commands_to_drawingml()
    • Generates DrawingML <a:custGeom> XML for custom geometry
    • Supports solid fills (with alpha transparency), gradient fills, and strokes
  4. Text Converter: Groups and renders text:

    • Groups same-line segments (within 2px baseline tolerance) into multi-run textboxes
    • Handles gap-based space detection for word boundaries
    • Inline math sub/superscripts merged into adjacent text lines with PPTX-native baseline offsets
    • Math segments clustered spatially into formula regions
    • Sets font properties (bold, italic, name, size, color) per run
    • Auto-detects paragraph alignment (left, center, right, justify) from segment positions
  5. Math Renderer: Dual-mode math formula handling:

    • Text mode: Renders as Cambria Math text runs with sub/superscript baseline offsets
    • Graphics mode: Renders glyph outlines as DrawingML <a:custGeom> shapes grouped in <p:grpSp>
    • Auto mode: Heuristic classification - simple formulas (letters, digits, basic operators) as text, complex formulas (integrals, matrices, roots, stacked fractions) as glyph curves
  6. Link Processor: Detects SVG <a> elements and applies hyperlinks to overlapping text runs in PPTX

    • Only external links (http, https, mailto) become PPTX hyperlinks
    • Internal document links are rendered as normal text
    • Explicitly suppresses PowerPoint's default hyperlink styling (blue color + underline) via u="none" and explicit solidFill
    • Theme-level hyperlink colors (hlink/folHlink) are neutralized to prevent blue/purple override
  7. Speaker Notes: Extracts via typst.query() (Python package):

    • Uses typst.query(path, "<pdfpc-file>", field="value") to extract pdfpc JSON
    • Touying framework outputs pdfpc JSON with page indices and note text
    • Notes are attached to the corresponding PowerPoint slides
    • Falls back to CLI typst query if the Python package is unavailable

Supported Typst Content

Category Feature Support
Text Regular, Bold, Italic, Bold-Italic Full
Text Monospace / inline code Full
Text Colored text Full
Text Font size variants Full
Text Chinese/CJK text Full
Math Inline formulas Cambria Math text (auto/text mode) or glyph curves (glyph mode)
Math Display formulas Glyph curves (default) or Cambria Math text
Math Stacked fractions Auto-detected and rendered as glyph curves in auto mode
Math Subscripts/superscripts PPTX-native baseline offset (auto-sized by PowerPoint)
Math Formula grouping Grouped as single draggable unit in PPTX
Shapes Rectangles, circles, ellipses Native DrawingML
Shapes Lines, paths, polygons Native DrawingML
Shapes Gradient fills DrawingML gradFill
Shapes Transparency/opacity Alpha channel support (RRGGBBAA, rgba, fill-opacity)
Code Inline code Consolas font
Code Code blocks Consolas font with syntax highlighting colors
Images Embedded PNG (data URI) Full
Images Embedded SVG Rasterized to PNG via typst (transparent background)
Images Embedded/external PDF Rasterized to PNG via typst (transparent background)
Images External references Full
Links External hyperlinks (#link()) Clickable in PPTX, preserves original styling
Links Internal document links Rendered as normal text (no hyperlink)
Tables Table cells and headers Text + shapes
Tables Colored table backgrounds Filled shapes
Layout Slide dimensions (16:9, 4:3) Full
Layout Text alignment (left, center, right, justify) Auto-detected
Notes Touying speaker notes Full
Lists Bullet points Text with bullet chars
Plugins Pinit highlights Colored overlay shapes

Development

Install in editable/development mode

# pip
pip install -e .
pip install -e ".[dev]"    # with dev dependencies (pytest, etc.)

# uv
uv pip install -e .
uv pip install -e ".[dev]"

Updating dependencies

All dependencies are declared in pyproject.toml. After modifying them:

# pip
pip install -e .

# uv
uv pip install -e .

Testing

# Run all tests
pytest tests/ -v

# Run specific test modules
pytest tests/test_converter.py -v
pytest tests/test_math.py -v
pytest tests/test_inline_math.py -v
pytest tests/test_table.py -v
pytest tests/test_pinit.py -v
pytest tests/test_links.py -v
pytest tests/test_images.py -v
pytest tests/test_chinese.py -v
pytest tests/test_alignment.py -v
pytest tests/test_code_blocks.py -v

Test Coverage

  • 254 tests covering:
    • Converter & configuration (56 tests)
    • SVG parser (30 tests)
    • Inline math & stacked fractions (22 tests)
    • Image embedding & rasterization (21 tests)
    • SVG path pipeline (17 tests)
    • Table rendering (17 tests)
    • Math formulas & display curves (16 tests)
    • Pinit annotations (15 tests)
    • Code blocks & syntax highlighting (12 tests)
    • Text positioning & multi-run merging (12 tests)
    • Chinese text (11 tests)
    • Hyperlinks (11 tests)
    • Columns layout (7 tests)
    • Text alignment (7 tests)

Project Structure

typ2pptx/
  core/
    converter.py          # Main SVG -> PPTX conversion logic
    typst_svg_parser.py   # typst.ts SVG parsing and text extraction
  scripts/
    svg_to_shapes.py      # SVG path -> DrawingML pipeline (from ppt-master)
  data/
    bin/                  # Bundled typst-ts-cli binary (platform-specific)
  __main__.py             # CLI entry point
scripts/
  download_typst_ts_cli.py  # Download typst-ts-cli for bundling
tests/
  conftest.py             # Shared test fixtures
  test_converter.py       # Converter tests
  test_math.py            # Math formula tests
  test_inline_math.py     # Inline math and display math curve tests
  test_chinese.py         # Chinese text tests
  test_table.py           # Table rendering tests
  test_pinit.py           # Pinit annotation tests
  test_links.py           # Hyperlink tests
  test_images.py          # Image embedding tests
  test_alignment.py       # Text alignment tests
  test_code_blocks.py     # Code block & syntax highlighting tests
  test_text_positioning.py # Text positioning tests
  test_svg_parser.py      # SVG parser tests
  test_path_pipeline.py   # Path conversion tests
  typ_sources/            # Test Typst source files
    basic_text.typ
    shapes_test.typ
    speaker_notes_test.typ
    math_test.typ
    chinese_test.typ
    inline_math_test.typ
    table_test.typ
    pinit_test.typ
    link_test.typ
    image_test.typ
    alignment_test.typ
    code_block_test.typ
    columns_test.typ

Acknowledgments

ppt-master Attribution

The file typ2pptx/scripts/svg_to_shapes.py is adapted from the ppt-master project, which provides the core SVG path to DrawingML conversion pipeline:

  • parse_svg_path() -- tokenizes SVG path d attributes into structured commands
  • svg_path_to_absolute() -- converts relative path commands to absolute coordinates
  • normalize_path_commands() -- reduces all curve types (S, Q, T, A) to cubic beziers (C)
  • path_commands_to_drawingml() -- generates DrawingML <a:custGeom> XML for custom geometry

The pipeline supports solid fills, gradient fills (linear and radial), and strokes with configurable dash patterns and line caps.

The original ppt-master code has been modified for typst SVG compatibility, including:

  • Added inherited style propagation through nested <g> elements via ConvertContext
  • Added CJK font detection and Windows font fallback mapping for cross-platform PPTX compatibility
  • Added donut-chart arc segment detection (SVG stroke-dasharray circles converted to filled annular sectors)
  • Added support for element opacity, fill-opacity, and stroke-opacity (including multiplicative inheritance)
  • Added <ellipse>, <polyline>, <image>, and <text> (with multi-run <tspan>) element converters
  • Added group (<g>) to <p:grpSp> conversion with automatic bounds calculation
  • Added shadow effect support via SVG <filter> (feGaussianBlur + feOffset)

License

MIT

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