Markdown Conversion
PDF Oxide は PDF ページをクリーンで読みやすい Markdown に変換します。変換パイプラインはテキストスパンを抽出し、行にクラスタリングし、Tagged PDF の /StructTreeRoot を読んで見出しやリストの役割を得て、多段組のガターや逆方向 x の読み順の折り返しを検出し、段落をまとめて Markdown 構文を生成します。
v0.3.36 以降、Tagged PDF では StructRole(Heading(1..6) | ListItem | ListItemLabel | ListItemBody) を /StructTreeRoot から直接取得するようになり、フォントサイズから見出しレベルを逆算することはなくなりました。役割情報は入れ子の MCR(H1 → Span → MCR、LI → LBody → Span → MCR)にも正しく伝播します。タグなしドキュメントに対しては従来の幾何学的フォールバックが働き、太字 + 5 % 以上のサイズアップで H4 に昇格、is_ordered_list_marker が 1. / 12. / a) / iv. / A. を認識しつつ、図のキャプションや年号は除外します。
多段組の処理: 同じベースライン上で > max(3 × font_size, 30 pt) の間隔があるスパンは別段組として扱います。列単位(最終→先頭スパン)で左へ巻き戻る読み順の折り返しは、意味のないトークンに結合するのではなく、段落を区切るようになりました。
RTL: 双方向テキストの並び替えは既定でオフです。以前は視覚順→論理順の並び替えを無条件に走らせていたため、もともと論理順の PDF(ヘブライ語の בנימין が反転していた)を壊していました。アラビア語の文脈形グリフの周囲に湧いていた **bold** マーカーも除去しました。視覚順の入力を扱う場合は text::bidi::reorder_visual_to_logical(Rust)を明示的に呼び出してください。
インライン画像は base64 ペイロードが 200 KB で頭打ちになりました(v0.3.36 で追加)。上限を超える画像は元のサイズを記した HTML コメントに置き換わるので、ディスクに書き出したい場合は image_output_dir を指定してください。
Quick Example
Python
from pdf_oxide import PdfDocument
doc = PdfDocument("paper.pdf")
md = doc.to_markdown(0, detect_headings=True)
print(md)
Node.js
const { PdfDocument } = require("pdf-oxide");
const doc = new PdfDocument("paper.pdf");
const md = doc.toMarkdown(0, { detectHeadings: true });
console.log(md);
doc.close();
Go
import pdfoxide "github.com/yfedoseev/pdf_oxide/go"
doc, _ := pdfoxide.Open("paper.pdf")
defer doc.Close()
md, _ := doc.ToMarkdown(0)
fmt.Println(md)
C#
using PdfOxide.Core;
using var doc = PdfDocument.Open("paper.pdf");
var md = doc.ToMarkdown(0);
Console.WriteLine(md);
WASM
const doc = new WasmPdfDocument(bytes);
const md = doc.toMarkdown(0, true);
console.log(md);
Rust
use pdf_oxide::PdfDocument;
use pdf_oxide::converters::ConversionOptions;
let mut doc = PdfDocument::open("paper.pdf")?;
let options = ConversionOptions { detect_headings: true, ..Default::default() };
let md = doc.to_markdown(0, &options)?;
println!("{}", md);
API Reference
to_markdown(page_index, ...) -> str
Convert a single page to Markdown.
Python Signature
doc.to_markdown(
page: int,
preserve_layout: bool = False,
detect_headings: bool = True,
include_images: bool = True,
image_output_dir: str | None = None,
embed_images: bool = True,
) -> str
JavaScript Signature
doc.toMarkdown(pageIndex, detectHeadings?, includeImages?, includeFormFields?) -> string
Rust Signature
pub fn to_markdown(
&mut self,
page_index: usize,
options: &ConversionOptions,
) -> Result<String>
| Parameter | Type | Default | Description |
|---|---|---|---|
page_index |
int / usize / number |
– | Zero-based page index |
preserve_layout |
bool |
false |
Preserve visual layout positioning |
detect_headings |
bool |
true |
Detect headings based on font size and weight |
include_images |
bool |
true |
Include images in output |
image_output_dir |
str / None |
None |
Directory to save extracted images (Python/Rust only) |
embed_images |
bool |
true |
Embed images as base64 data URIs (Python/Rust only) |
include_form_fields |
bool |
true |
Include form field values (Python/JS) |
Returns: Markdown string for the page.
to_markdown_all(...) -> str
Convert all pages to Markdown, separated by horizontal rules (---).
Python Signature
doc.to_markdown_all(
preserve_layout: bool = False,
detect_headings: bool = True,
include_images: bool = True,
image_output_dir: str | None = None,
embed_images: bool = True,
) -> str
JavaScript Signature
doc.toMarkdownAll(detectHeadings?, includeImages?, includeFormFields?) -> string
Rust Signature
pub fn to_markdown_all(
&mut self,
options: &ConversionOptions,
) -> Result<String>
| Parameter | Type | Default | Description |
|---|---|---|---|
preserve_layout |
bool |
false |
Preserve visual layout |
detect_headings |
bool |
true |
Detect headings |
include_images |
bool |
true |
Include images |
image_output_dir |
str / None |
None |
Image output directory |
embed_images |
bool |
true |
Embed images as base64 |
Returns: Markdown string for all pages joined with --- separators.
to_markdown_with_ocr(page_index, model_path, options) -> str
Convert a page to Markdown with OCR fallback for scanned pages. When the page has little or no extractable text, OCR is used to recognize text from the rendered page image. Requires the ocr feature.
| Parameter | Type | Description |
|---|---|---|
page_index |
usize |
Zero-based page index |
model_path |
&str |
Path to the OCR model files |
options |
&ConversionOptions |
Conversion options |
Rust
let mut doc = PdfDocument::open("scanned.pdf")?;
let options = ConversionOptions { detect_headings: true, ..Default::default() };
let md = doc.to_markdown_with_ocr(0, "/path/to/models", &options)?;
println!("{}", md);
ConversionOptions
The ConversionOptions struct controls all conversion behavior.
| Field | Type | Default | Description |
|---|---|---|---|
preserve_layout |
bool |
false |
Preserve visual layout with positioning |
detect_headings |
bool |
true |
Auto-detect headings from font size clusters |
extract_tables |
bool |
false |
Extract tables (experimental) |
include_images |
bool |
true |
Include images in output |
image_output_dir |
Option<String> |
None |
Save images to this directory |
embed_images |
bool |
true |
Embed images as base64 data URIs |
reading_order_mode |
ReadingOrderMode |
Auto |
How to determine reading order |
bold_marker_behavior |
BoldMarkerBehavior |
Conservative |
Bold marker application strategy |
How It Works
The Markdown conversion pipeline operates in several stages:
-
Text Extraction – Extracts
TextSpanobjects from the page content stream, capturing text, position, font, size, weight, and color. -
Character Clustering – Groups characters into words based on inter-character gaps, then words into lines based on vertical proximity.
-
Reading Order – Determines reading order using either the Tagged PDF structure tree (preferred) or a graph-based spatial analysis of text block positions.
-
Heading Detection – When
detect_headingsis enabled, clusters font sizes across the page to identify heading levels. Larger and bolder text is mapped to#,##,###headings. -
Formatting – Applies bold (
**text**) and italic (*text*) markers based on font weight and style metadata. -
Table Detection – Identifies tabular layouts using spatial analysis of aligned text blocks and emits GFM-style Markdown tables.
-
Whitespace Cleanup – Normalizes spacing, removes redundant blank lines, and ensures consistent paragraph breaks.
Advanced Examples
Convert entire PDF to a Markdown file
Python
from pdf_oxide import PdfDocument
doc = PdfDocument("book.pdf")
md = doc.to_markdown_all(detect_headings=True)
with open("book.md", "w", encoding="utf-8") as f:
f.write(md)
Node.js
const fs = require("node:fs");
const doc = new PdfDocument("book.pdf");
const md = doc.toMarkdownAll();
fs.writeFileSync("book.md", md);
doc.close();
Go
doc, _ := pdfoxide.Open("book.pdf")
defer doc.Close()
md, _ := doc.ToMarkdownAll()
os.WriteFile("book.md", []byte(md), 0644)
C#
using var doc = PdfDocument.Open("book.pdf");
var md = doc.ToMarkdownAll();
File.WriteAllText("book.md", md);
WASM
const doc = new WasmPdfDocument(bytes);
const md = doc.toMarkdownAll(true);
writeFileSync("book.md", md);
doc.free();
Convert with images saved to a directory
use pdf_oxide::PdfDocument;
use pdf_oxide::converters::ConversionOptions;
let mut doc = PdfDocument::open("report.pdf")?;
let options = ConversionOptions {
detect_headings: true,
include_images: true,
embed_images: false,
image_output_dir: Some("output/images".to_string()),
..Default::default()
};
let md = doc.to_markdown_all(&options)?;
std::fs::write("output/report.md", &md)?;
Page-by-page conversion with progress
from pdf_oxide import PdfDocument
doc = PdfDocument("report.pdf")
pages = doc.page_count()
parts = []
for i in range(pages):
md = doc.to_markdown(i, detect_headings=True)
parts.append(md)
print(f"Converted page {i + 1}/{pages}")
full_md = "\n\n---\n\n".join(parts)
with open("report.md", "w") as f:
f.write(full_md)
Disable heading detection for flat text
doc = PdfDocument("form.pdf")
md = doc.to_markdown(0, detect_headings=False)
# All text rendered as paragraphs, no # headings
Related Pages
- Text Extraction – Raw text and span extraction
- HTML Conversion – Convert to HTML instead of Markdown
- Image Extraction – Extract images separately