Module prelude 

Structs

CaseConversion

A reusable case-conversion descriptor.

Line

A numbered logical line.

LineNumber

A 1-based line number.

LineStats

Aggregate line counts derived from text.

MarkdownCodeFence

A fenced code block extracted from Markdown.

MarkdownHeading

A Markdown ATX heading.

MarkdownImage

A Markdown inline image.

MarkdownLink

A Markdown inline link.

MarkdownOutline

A simple heading outline for a Markdown document.

Slug

A validated default-separator slug.

SlugOptions

Configures conservative slug shaping.

Token

A token with its kind and byte span.

TokenSpan

A byte span in the original input string.

TokenizerOptions

Small configuration for future tokenizer extensions.

Word

A normalized word token.

WordStats

Aggregate counts derived from text.

Enums

CaseError

Errors returned by CaseConversion.

LineEnding

Supported line-ending shapes.

SlugSeparator

Supported separators for generated slugs.

TextCase

Describes a detected or requested text case.

TokenKind

The category assigned to a token.

Functions

contains_word

Returns true when the input contains the target as a full normalized word.

dedent_lines

Removes the common indentation shared by non-empty lines.

detect_case

Detects the most practical case shape for the input.

ends_with_word

Returns true when the last normalized word matches the target.

extract_code_fences

Extracts fenced code blocks delimited by triple backticks or triple tildes.

extract_frontmatter

Extracts top-of-document frontmatter contents without the boundary lines.

extract_headings

Extracts ATX headings while ignoring content inside fenced code blocks.

extract_images

Extracts inline images while ignoring fenced code blocks.

extract_links

Extracts inline links while ignoring fenced code blocks.

extract_outline

Extracts a lightweight document outline from headings.

has_frontmatter

Returns true when the document starts with YAML-like or TOML-like frontmatter.

heading_to_anchor

Converts heading text into a practical GitHub-style anchor.

indent_lines

Prefixes each logical line with the provided indent string.

is_blockquote

Returns true when a line starts with a Markdown blockquote marker.

is_horizontal_rule

Returns true when a line looks like a Markdown horizontal rule.

is_ordered_list_item

Returns true when a line starts with an ordered list marker.

is_slug

Returns true when the input is already a normalized default slug.

is_unordered_list_item

Returns true when a line starts with an unordered list marker.

line_count

Counts logical lines, ignoring a trailing empty line created only by a final line ending.

lines_with_numbers

Returns numbered logical lines.

markdown_to_plain_text

Converts Markdown into lightweight plain text.

non_empty_line_count

Counts logical lines whose trimmed content is not empty.

normalize_line_endings

Normalizes line endings to the requested target.

normalize_slug

Normalizes a candidate slug using the default separator.

normalize_word

Normalizes a word-like value by lowercasing letters and dropping non-word punctuation.

slug_words

Returns the normalized slug segments.

slugify

Converts free-form text into a default slug.

starts_with_word

Returns true when the first normalized word matches the target.

strip_frontmatter

Returns the document without a leading frontmatter block.

to_camel_case

Converts input into camelCase.

to_constant_case

Converts input into CONSTANT_CASE.

to_kebab_case

Converts input into kebab-case.

to_pascal_case

Converts input into PascalCase.

to_snake_case

Converts input into snake_case.

to_title_case

Converts input into title case separated by spaces.

token_count

Counts conservative word tokens.

tokenize_chars

Splits input into Unicode scalar values.

tokenize_sentences

Extracts conservative sentence tokens.

tokenize_whitespace

Splits input on contiguous whitespace.

tokenize_words

Extracts conservative word tokens.

trim_lines

Trims each logical line independently and preserves the input line-ending style when possible.

truncate_slug

Truncates a slug without leaving trailing separators when possible.

unique_words

Returns distinct normalized words in first-seen order.

word_count

Counts normalized words in the input.

words

Extracts normalized words from the input.