emboss-pdf 0.2.0

Deterministic, PDF/UA-tagged, veraPDF-conformant PDF generation for Python, built for LLM-driven document pipelines

Emboss

Precision PDF generation for Python. Describe a document with a declarative spec; the engine handles typography, layout, accessibility tagging, and the complete PDF structure. Output is deterministic and byte-identical across runs.

from emboss import Document

doc = Document(title="Q3 Report", style="finance")
doc.heading("Revenue Analysis", level=1)
doc.paragraph("Revenue increased 12% year over year.")
doc.table(headers=["Region", "Q3"], rows=[["North America", "$2.4M"]])
doc.save("report.pdf")

No coordinates. No manual page-break handling. No separate accessibility pass.

---

Table of Contents

• Built for Enterprise
• Why Emboss
• Installation
• Quick Start
• EmbossSpec Format
• Document Elements
• Style Presets
• BrandKit
• Typography Engine
• Layout System
• Accessibility and Conformance (PDF/UA)
• Self-Describing PDFs
• Document Diff and Redline
• Templates
• Executive Decks
• Domain Features
• Cross-References and Numbering
• SVG Embedding
• Diagrams
• Multi-Column Layout
• Math Notation
• Code Blocks
• Charts
• PDF/A Archival Output
• CMYK and Print Production
• Digital Signatures
• Redaction
• Validation
• Adapters
• API Reference
• Performance
• Development
• Architecture
• Roadmap
• License

---

Built for Enterprise

Emboss is built around guarantees that matter once a PDF leaves a notebook and enters a filing, an audit trail, or a distribution pipeline -- not marketing claims, but specific, checkable code paths.

• Deterministic, hash-verifiable output. The same Document always renders to the same bytes: no timestamps, no random identifiers, the file /ID derived from content. Two runs, two machines, one hash -- renders are byte-diffable in CI.
• PDF/UA tagged by default, with real conformance evidence. Every document ships a complete structure tree, and emboss verify out.pdf --conformance 2b (also ua1, 3b) shells out to the actual veraPDF CLI and reports its verdict. This is not a simulated check: the CI conformance job installs the real veraPDF binary and runs the test suite against it on every push (.github/workflows/ci.yml).
• Self-describing PDFs. doc.render(embed_spec=True) embeds the document's own EmbossSpec JSON, its node-keyed layout map, and a reflowable Markdown twin as real /AF file attachments. Document.from_pdf() reconstructs an equivalent document from those attachments, and falls back to walking the PDF/UA structure tree -- recovering headings, paragraphs, tables, and lists in order -- if the attachments were stripped.
• Stable node ids and a queryable layout map. Every block gets a deterministic id and a page/bounding-box entry in doc.layout_map(): the foundation for auditing, redlining, and programmatic review of what landed where on the page.
• Document diff and redline. diff_documents() matches blocks between two documents by node id and classifies each as added, removed, or changed, with a word-level diff on text-bearing blocks; render_redline() turns that into a real PDF with struck-through deletions, underlined insertions, margin change-bars on added content, and a summary page. Also available as emboss diff old.pdf new.pdf -o redline.pdf from the command line.
• A reproducibility manifest. doc.render(manifest=True) attaches a deterministic emboss-manifest.json: the spec's sha256, the Emboss version, every embedded font's sha256, and any non-default render options. emboss.reproduce() (and emboss reproduce report.pdf) closes the loop: recover the document, re-render it, and structurally verify the two PDFs agree.
• Redaction by construction. Document.redact(rules) matches whole blocks by node id, regex, predicate, or type and removes or replaces them before layout, so redacted text never reaches a content stream -- not a black box painted over extractable text.
• DocMDP certification signatures. sign_pdf(..., certify=True, docmdp_permission=...) produces an ISO 32000-1 certification signature declaring what changes (if any) are permitted after signing.
• BrandKit. A single versioned brand object (palette, fonts, logo) applies across every document built from it, so a rebrand touches one object instead of every document.
• CMYK and PDF/A archival output for print production and long-term retention pipelines.
• Long-form apparatus: numbered appendices, an alphabetized back-of-book index with resolved page numbers, a glossary with auto-linked first occurrences, and a visible table of contents with real page numbers and dot leaders.
• emboss strip removes embedded files, provenance-revealing metadata, and internal structure-tree node ids from a rendered PDF before it goes to an external party.

---

Why Emboss

Existing Python PDF libraries are page-description tools: you place ink at coordinates, and the resulting file has no idea that a given string was a heading. Accessibility tags, if available at all, are painted on after the fact and tend to disagree with the visible page.

Emboss inverts that. The semantic document is the source of truth, and both the visual output and the structure tree are derived from it. They cannot drift apart, because they come from the same description.

What it guarantees

Deterministic output. The same document produces byte-identical PDFs across runs and machines. No timestamps, no random identifiers; the file /ID is derived from content. This makes output hash-verifiable for filings and diffable in CI.

assert doc.render() == doc.render()   # always true

Structural correctness. Cross-reference offsets are recorded as bytes are written, so the xref table cannot disagree with the file.

Content never overflows. Everything is measured before anything is placed, so text running off the page is not a failure mode.

Tagged by default. Every document ships with a complete PDF/UA structure tree.

---

Installation

pip install emboss-pdf

Requires Python 3.10+ and fonttools. Optional extras:

pip install emboss-pdf[all]       # pydantic + pikepdf + cryptography
pip install emboss-pdf[llm]       # pydantic schemas for LLM structured output
pip install emboss-pdf[verify]    # pikepdf for PDF structural verification
pip install emboss-pdf[signing]   # cryptography for digital signatures
pip install emboss-pdf[dev]       # full dev environment (pytest, mypy, ruff)

Bundled Fonts

An OFL-licensed font set ships with the package (Source Serif 4, Source Sans 3, Source Code Pro; ~2.7MB, Latin, Greek, and Cyrillic coverage), plus Emboss Math, a modified subset of STIX Two Math carrying the mathematical alphanumeric glyphs used by \mathbb/\mathcal/\mathfrak. Registering the set gives embedded fonts with full kerning and ligatures, no system font files required:

from emboss import Document
from emboss.bundled_fonts import register_bundled_fonts

doc = Document(title="Report")
register_bundled_fonts(doc.fonts)

The three text families are also available under the aliases "emboss serif", "emboss sans", and "emboss mono". Two lower-level helpers, bundled_font_path(family, bold=, italic=) and BUNDLED_FAMILIES, are available for callers that want the file paths directly.

---

Quick Start

Fluent API

from emboss import Document

doc = Document(title="Quarterly Report", author="Finance Team", style="finance")
doc.heading("Executive Summary", level=1)
doc.paragraph("Revenue grew 12% year over year, driven by enterprise expansion.")
doc.table(
    headers=["Metric", "Q3 2025", "Q3 2024", "Change"],
    rows=[
        ["Revenue", "$24.1M", "$21.5M", "+12%"],
        ["EBITDA",  "$8.2M",  "$6.9M",  "+19%"],
    ],
)
doc.bullets(["North America: +15%", "EMEA: +8%", "APAC: +11%"])
doc.save("quarterly_report.pdf")

Declarative Spec

from emboss.spec import Document, Heading, Paragraph, Table

doc = Document(
    title="Quarterly Report",
    style="finance",
    content=[
        Heading(text="Executive Summary", level=1),
        Paragraph(content="Revenue grew 12% year over year."),
        Table(
            headers=["Metric", "Value"],
            rows=[["Revenue", "$24.1M"], ["EBITDA", "$8.2M"]],
        ),
    ],
)
pdf_bytes = doc.render()

LLM Integration (3 tiers)

Tier 1: Spec prompt (full quality, recommended) -- pass the EmbossSpec format with your prompt:

from emboss import spec_prompt, Document

system = spec_prompt(style="finance")  # compact EmbossSpec description for LLMs
response = client.messages.create(
    model="claude-sonnet-5",
    system=system,
    messages=[{"role": "user", "content": "Create a Q3 financial report"}],
)
doc = Document.from_json(response.text)
doc.save("report.pdf")

Tier 2: One-liner (zero friction):

from emboss import generate

generate("Create a quarterly financial report",
         style="finance", output="report.pdf",
         provider="anthropic")  # or "openai"

Tier 3: Markdown (works with any LLM output):

from emboss import Document

md = llm.generate("Write a quarterly report...")  # any LLM, any provider
doc = Document.from_markdown(md, style="finance")
doc.save("report.pdf")

All three tiers produce identical PDF quality -- the typography engine (Knuth-Plass, optical margins, kerning) runs the same regardless of input format.

Robust parsing. LLM output is messy; the parser is built for it:

doc = Document.from_json(
    text,
    strict=False,      # default: repair instead of raising
    smart=True,        # content intelligence: typography, tables, auto-style
    on_warning=print,  # one message per repair performed
)

• spec_prompt() teaches the exact vocabulary the validator accepts, so valid output is the common case
• Synonym type tags and field spellings are normalized to the canonical vocabulary on both parse paths
• Truncated JSON (cut off mid-generation) is repaired before parsing
• When validation fails, recovery is per block: invalid blocks are coerced to paragraphs or dropped, the rest of the document renders
• strict=True raises on any malformed input instead of repairing

Specs can also request layout features directly: "toc": true inserts an auto-generated table of contents, and "page": {"columns": 2, "column_gap": 18} sets multi-column geometry.

---

EmbossSpec Format

Documents are defined using EmbossSpec, a declarative JSON-serializable specification. Every document element is a typed Python dataclass that can be constructed programmatically, deserialized from JSON, or generated by an LLM via structured output.

The spec is the single source of truth. From it, Emboss derives:

• The visual PDF (typography, layout, pagination)
• The accessibility structure tree (PDF/UA tags)
• HTML, Markdown, and DOCX exports (via adapters)

{
  "title": "Annual Report",
  "style": "corporate",
  "content": [
    {"type": "heading", "text": "Overview", "level": 1},
    {"type": "paragraph", "content": "Company performance exceeded targets."},
    {"type": "table", "headers": ["Q1", "Q2"], "rows": [["$1M", "$1.2M"]]}
  ]
}

---

Document Elements

Element	Description	Key Parameters
Heading	Section heading (H1-H6)	text, level (1-6)
Paragraph	Body text with inline formatting	content (str, TextRun, or list)
BulletList	Unordered list with nesting	items (strings or sublists)
NumberedList	Ordered list with nesting	items, start
Table	Data table with header row	headers, rows, caption
Image	Embedded image	source (path or bytes), width, caption
CodeBlock	Syntax-highlighted code	code, language, line_numbers
MathBlock	LaTeX-style math notation	source, display
Chart	Data visualization	chart_type, labels, values
Callout	Admonition box (note/warning/tip)	content, variant, title
Footnote	Numbered footnote	content
SvgBlock	Inline SVG vector graphic	source, width, height
BibliographyBlock	Formatted citation list	citations
HorizontalRule	Visual separator	thickness, color
PageBreak	Force a page break (optionally to a named page_styles geometry)	page_style
BlockQuote	Quoted passage set off with an accent bar	content, attribution
CoverPage	Full-page title composition, forces a page break	title, subtitle, authors, date, kicker
Abstract	Indented abstract block with a keywords line	text, keywords
Authors	Centered grid of author entries	authors (name, affiliation, email)
PullQuote	Large-type offset quotation	text, attribution
StatTiles	Row of bordered statistic tiles, colored deltas	stats (label, value, delta)
TableOfContents	Visible listing with dot leaders and page numbers	title, depth, source (headings/figures/tables)
Appendix	Lettered section (Appendix A, B, ...) with its own A.1 numbering	title, content
Index	Back-of-book index resolved from index_terms marks	title
Glossary	Alphabetized term/definition list with auto-linked first occurrences	entries, title
Diagram	Node/edge graph with automatic layout, via doc.diagram(...)	nodes, edges, direction, caption

Inline Formatting

from emboss import Paragraph, TextRun

Paragraph(content=[
    TextRun(text="Regular text, "),
    TextRun(text="bold text", bold=True),
    TextRun(text=", "),
    TextRun(text="italic text", italic=True),
    TextRun(text=", and "),
    TextRun(text="colored text", color="2563eb"),
])

---

Style Presets

Seven professionally designed stylesheets are built in. Each encodes type scale, leading, table rules, and spacing so output looks authored without choosing a single measurement.

Preset	Body Font	Heading Font	Body Size	Alignment	Use Case
legal	Times	Times	11.5pt	Justified	Contracts, briefs, pleadings
finance	Helvetica	Helvetica	10pt	Left	Reports, filings, data sheets
academic	Times	Helvetica	11.5pt	Justified	Papers, dissertations, theses
corporate	Helvetica	Helvetica	10.5pt	Left	Memos, policies, manuals
minimal	Helvetica	Helvetica	9.5pt	Left	Data exports, compact reports
journal	Times	Times	10.5pt	Justified	Journals, periodicals
brief	Helvetica	Helvetica	10.5pt	Left	Executive briefs, one-pagers

# Use a preset by name
doc = Document(style="finance")

# Or create a custom stylesheet
from emboss import Style, StyleSheet
custom = StyleSheet(
    name="custom",
    body=Style(font_family="Helvetica", font_size=11.0, align="justify"),
    h1=Style(font_size=18.0, bold=True),
    # ... other elements
)
doc = Document(style=custom)

---

BrandKit

A BrandKit is an immutable, versioned brand object layered on top of any style preset at render time. Set it once on the document and colors, fonts, and footer text propagate everywhere, so a rebrand is a single-object change rather than a find-and-replace across every document.

from emboss import Document, BrandKit

brand = BrandKit(
    name="Acme",
    version="2.1",
    primary="1f4e79",
    accent="1f8a70",
    ink="1a1a1a",
    muted="6b7280",
    heading_font="Emboss Serif",
    body_font="Emboss Sans",
    footer_text="Acme Corp -- Confidential",
)

doc = Document(title="Board Deck", style="corporate", brand=brand)

• Heading and table-header colors take the brand primary; body and secondary text take ink/muted. Any brand color that fails 4.5:1 contrast against white is automatically darkened for text use, while the raw brand color is kept for fills and rules.
• brand.series_palette(n) returns a deterministic N-color chart palette derived from primary and accent (or the explicit palette tuple, padded with derived colors if it runs short) -- charts under a brand stay on-brand without hand-picked colors.
• brand.to_dict() / BrandKit.from_dict() round-trip a brand kit through JSON (logo bytes travel as base64), for storing a brand centrally and loading it per render.

---

Typography Engine

Knuth-Plass Line Breaking

Emboss uses the Knuth-Plass algorithm from Knuth and Plass (1981) for optimal paragraph line breaking. Unlike greedy algorithms that fill each line independently, Knuth-Plass treats the paragraph as a shortest-path problem and minimizes total demerits across all lines:

greedy   widths: [216, 172, 168, 162, 176]   variance 367
optimal  widths: [216, 224, 202, 198]        variance 110

The algorithm:

• Models text as Box (word), Glue (elastic space), and Penalty (breakpoint) items
• Considers all legal breakpoints simultaneously
• Penalizes abrupt spacing changes and tight/loose lines
• Flags hyphen breaks and caps hyphen ladders: a large demerit stops runs of more than 3 consecutive hyphenated lines
• Splits any word wider than the measure into character-level pieces (long URLs, identifiers), so lines never overflow even in narrow columns
• Falls back to greedy breaking only for pathological input

Knuth-Liang Hyphenation

The full Knuth-Liang en-US pattern set is bundled, plus a no-break list for domain terms (Inc., LLC, EBITDA, plaintiff) that should never be split.

Real Font Metrics

Glyph advances and kerning come from the font file (via fonttools). Text is emitted with the PDF TJ operator so kerning pairs are actually applied between glyphs. Kerning reads GPOS pair positioning in full: class-based (Format 2) pairs resolved lazily and memoized, Extension (LookupType 9) wrappers unwrapped, and Value2 adjustments summed.

Base-14 font metrics are built in, so valid PDFs are produced with no font files present. The built-in AFM widths cover more than ASCII: en/em dashes, curly quotes, and accented Latin letters resolve to correct advances (accents via NFD decomposition to the base letter). For embedded fonts out of the box, see Bundled Fonts.

Smart Typography

Automatic curly quotes, em/en dashes, fractions, ellipses, and non-breaking spaces before units. Applied during text processing, not as a post-process.

Ligature Support

Automatic fi, fl, ff, ffi, and ffl ligature substitution on embedded fonts, gated per glyph on the font's cmap. Base-14 fonts carry no ligature glyphs and are left untouched.

---

Layout System

Page Setup

from emboss import PageSpec

# Standard sizes
page = PageSpec.letter()                        # 8.5 x 11 in
page = PageSpec.a4()                            # 210 x 297 mm
page = PageSpec.legal()                         # 8.5 x 14 in

# Custom dimensions and margins (in points, 72pt = 1 inch)
page = PageSpec(
    width=612, height=792,
    margin_top=72, margin_bottom=72,
    margin_left=90, margin_right=72,
)

# Multi-column layout
page = PageSpec.a4(columns=2, column_gap=18)

# A4 landscape, tuned for wide tables and diagrams
page = PageSpec.a4(landscape=True)

Also built in: PageSpec.a5() and the tight-margin PageSpec.compact() (A5, tuned for phone and tablet PDF readers).

Per-Section Page Geometry

A document can switch page geometry mid-flow for one wide table or diagram, then switch back, via page_styles and PageBreak.page_style:

doc = Document(
    title="Annual Report",
    page_styles={"wide": PageSpec.a4(landscape=True)},
)
doc.paragraph("Portrait content here.")
doc.page_break(page_style="wide")   # subsequent pages use the wide geometry
doc.table(headers=[...], rows=[...])
doc.page_break()                    # no page_style: reverts to the document default

Pagination Features

• Widow and orphan control: prevents single lines stranded at page tops/bottoms
• Keep-with-next: headings stay with their following paragraph
• Keep-together: atomic blocks (callouts, small tables) never split across pages
• Table splitting: large tables break across pages with header row repetition
• Column balancing: multi-column layouts balance content across columns

---

Accessibility and Conformance (PDF/UA)

Every document is tagged with a complete PDF/UA structure tree:

• Headings become /H1 through /H6
• Paragraphs become /P
• Tables become /Table with /TH and /TD cells; header cells carry /Scope
• Lists become /L with /LI, /Lbl, and /LBody
• Images, SVG blocks, and charts get /Figure with the alt text emitted as /Alt (a description is auto-derived when none is given)
• Hyperlinks are written as /Link annotations and tagged as /Link structure elements with OBJR references, as PDF/UA requires
• Running heads, page numbers, Bates stamps, and watermarks are marked /Artifact
• Tagged documents declare the PDF/UA-1 identifier in their XMP metadata

from emboss.pdf.verify import verify_pdf

result = verify_pdf(doc.render())
print(result)  # VerificationReport(ok=True, has_struct_tree=True, ...)

verify_pdf is a structural check on the bytes Emboss just wrote (well-formed xref, matching object offsets, a present structure tree). It is not a conformance check by itself.

Real veraPDF Conformance

For actual ISO conformance, emboss.pdf.verify.verify_conformance (and the emboss verify --conformance CLI flag) invoke the real veraPDF CLI as a subprocess and parse its JSON report -- this is not a simulation, and it is not optional in CI: the conformance job in .github/workflows/ci.yml installs the official veraPDF binary and runs the test suite against it on every push and pull request.

emboss verify report.pdf --conformance 2b     # PDF/A-2b
emboss verify report.pdf --conformance ua1    # PDF/UA-1
emboss verify report.pdf --conformance 3b     # PDF/A-3b (with attachments)

from emboss.pdf.verify import verify_conformance

report = verify_conformance(doc.render(), flavour="ua1")
print(report.compliant)    # bool
print(report.violations)   # list[RuleViolation]: clause, description, count

Requires the verapdf executable on PATH, or VERAPDF_PATH pointing at it; otherwise verify_conformance raises with an install hint rather than silently skipping the check.

---

Self-Describing PDFs

A rendered PDF can carry enough of its own provenance to be reconstructed later, without a side channel or a database lookup.

doc = Document(title="Q3 Report", style="finance")
doc.heading("Revenue", level=1)
doc.paragraph("Revenue increased 12% year over year.")

pdf_bytes = doc.render(embed_spec=True)

embed_spec=True attaches three real /AF (associated file) attachments to the PDF:

Attachment	Contents	/AFRelationship
emboss-spec.json	The canonical EmbossSpec JSON for exact reconstruction	Source
emboss-layout.json	The node id -> page/bounding-box layout map	Supplement
emboss-doc.md	A reflowable Markdown twin of the document	Alternative

from emboss import Document

recovered = Document.from_pdf("report.pdf")

Document.from_pdf tries the embedded emboss-spec.json first, an exact reconstruction. If it is missing (or strict=True is not set and no attachment was ever embedded), it falls back to a degraded reconstruction by walking the PDF/UA structure tree and pulling text out of the content streams by marked-content id: headings, paragraphs, tables, lists, block quotes, footnotes, and code blocks come back with correct text and order (and their original stable node ids), even when styling and exact spec fields are lost. Pass strict=True to require the exact path and raise instead.

layout = doc.layout_map()
# {"n1a2b3c4": [{"page": 0, "x0": 72.0, "y0": 690.2, "x1": 540.0, "y1": 706.4}], ...}

Every top-level block gets a stable id -- an explicit one if you set it, otherwise a deterministic token derived from the element's type, position, and content, so the same document assigns the same ids on any machine and across runs. doc.layout_map() resolves every id to where it actually landed on the page, in PDF coordinates. Node ids and the layout map are the mechanism behind from_pdf recovery, the diff/redline tooling below, and any downstream annotation or programmatic-review workflow that needs to key off "this specific block, wherever it ends up."

Before a PDF leaves the building, emboss strip removes all of this:

emboss strip report.pdf -o external.pdf

from emboss import strip_pdf

clean_bytes = strip_pdf(pdf_bytes)

strip_pdf operates on already-rendered bytes: it drops the /AF attachments and the /Names /EmbeddedFiles tree, clears /Producer and /Creator plus the XMP CreatorTool/document-history fields, and removes the structure tree's /IDTree and per-element /ID node ids -- while keeping Title, Author, and date fields. Output stays deterministic.

Reproducibility Manifest

Beyond recovering a document's content, manifest=True records what it takes to reproduce its exact rendered bytes:

pdf_bytes = doc.render(manifest=True)   # attaches emboss-manifest.json

The manifest is a deterministic JSON summary: the spec's sha256, the running Emboss version, every embedded font's sha256, and any render options that differ from their defaults (pdfa, color_mode, tagged, toc, page_number_format, page_numbers, front_matter_pages). doc.reproducibility_manifest(...) builds the same dict without rendering.

emboss reproduce report.pdf

from emboss import reproduce

report = reproduce("report.pdf")   # recover -> re-render -> structurally compare
print(report.ok)                   # bool

reproduce() recovers the document from the PDF (via the embedded spec, or the degraded structure-tree path), re-renders it, and reports whether the two PDFs agree structurally -- same page count and same visible text per page, not a byte-for-byte match (attaching a manifest to the reproduction would itself shift bytes across the attachment boundary). A way to catch drift between what a PDF claims to be and what actually generated it.

Node-Scoped Patching

doc.patch(node_id, **changes) returns a new Document with the one block carrying node_id replaced (dataclasses.replace(block, **changes) under the hood) -- everything else, and the original document, untouched. Useful when a caller (an LLM given one block's id and a small diff, or an editing UI) only needs to change a single block without regenerating the whole spec.

---

Document Diff and Redline

diff_documents matches blocks between two documents by their stable node id (assigning ids first if either side lacks them), and classifies each as added, removed, changed, or unchanged. A matched pair counts as "changed" only when both sides already carry the same id for that block -- typically because the id was assigned once (an explicit id=, a prior render) and the block was edited in place rather than replaced.

from emboss import diff_documents, render_redline

result = diff_documents(old_doc, new_doc)
print(len(result.added), len(result.removed), len(result.changed))

redline_bytes = render_redline(old_doc, new_doc, result)

render_redline renders the new document through the normal measure/paginate/render pipeline with revision marks baked in, not overlaid: deleted words struck through in crimson, inserted words underlined in forest green, added blocks marked with a real measured change-bar in the left margin, and a prepended summary page listing what was removed. Changed headings and pull quotes keep their new text with a redlined note paragraph underneath, since they carry no per-run styling to inline a word diff into.

emboss diff old.pdf new.pdf -o redline.pdf

---

Templates

Pre-configured document factories for common formats:

from emboss.templates import memo, report, letter, invoice

# Create a memo with pre-set styling
doc = memo(title="Project Update", author="Engineering Team")
doc.heading("Status", level=2)
doc.paragraph("All milestones are on track.")
doc.save("memo.pdf")

# Create an invoice
doc = invoice(title="Invoice #2024-0147", author="Acme Corp")
doc.table(
    headers=["Item", "Qty", "Price"],
    rows=[["Widget", "100", "$5.00"], ["Gadget", "50", "$12.00"]],
)
doc.save("invoice.pdf")

Available templates: memo, report, letter, invoice, academic_paper, legal_brief, slide_deck, data_sheet.

---

Executive Decks

SlideDeck builds a presentation deck from designed slide layouts, complete color themes, and a fit-to-slide guarantee: no slide ever spills onto a continuation page.

from emboss.slides import SlideDeck

deck = SlideDeck("Q3 Board Review", presenter="Ana Ruiz", date="Oct 2026", theme="boardroom")
deck.title_slide(subtitle="Board update")
deck.section_divider("Results")
deck.stat_slide("Key metrics", [("ARR", "$12.4M", "+18%"), ("Churn", "2.1%", "-0.3%")])
deck.bullet_slide("Highlights", ["Enterprise ARR up 22%", "Net retention at 118%"])
deck.chart_slide("Growth", chart_element)
deck.quote_slide("The window for category leadership is now.", attribution="CEO")
deck.closing_slide("Thank you", contact="[e-mail]")
deck.save("board_deck.pdf")

• Layouts: title_slide, section_divider, content_slide (single or layout="two-column"), bullet_slide, stat_slide, chart_slide, quote_slide, code_slide, closing_slide.
• Four built-in themes, each a complete, WCAG-contrast-checked color system: boardroom (navy and gold), horizon (dusk blue and coral), carbon (near-black and electric blue), meadow (forest and spring green). Aliases default, dark, light, minimal resolve to one of the four.
• Fit-to-slide: every slide is measured after composition; if it would overflow, type and spacing scale down in steps (to a floor of 0.8x) until it fits one slide, or a clear error names which slide and by how much it overflowed rather than silently clipping content.
• Charts dropped into a themed deck automatically pick up the theme's chart palette unless colors are set explicitly.
• deck.build() returns the underlying Document for further customization before .render()/.save().

---

Domain Features

Legal and Financial Documents

from emboss import Document, LegalFeatures, PageSpec

doc = Document(
    title="Memorandum of Understanding",
    style="legal",
    page=PageSpec.letter(margin_left=108),
    legal=LegalFeatures(
        watermark="CONFIDENTIAL",
        watermark_opacity=0.12,
        line_numbering=True,
        bates_prefix="ACME-",
        bates_start=1,
        bates_digits=6,
        bates_position="bottom-right",
    ),
)

• Bates numbering: sequential identifiers for legal discovery
• Line numbering: continuous line numbers in the left margin (court filings)
• Watermarks: diagonal text overlay with configurable opacity

Custom Headers and Footers

from emboss import HeaderFooter

doc = Document(
    header=HeaderFooter(
        left="Acme Corp",
        center="Confidential",
        right="{page} of {pages}",
        separator=True,
    ),
    footer=HeaderFooter(
        center="Generated by Emboss",
    ),
)

Placeholders {page} and {pages} are resolved at render time.

---

Cross-References and Numbering

Automatic figure, table, and equation numbering with label-based cross-references:

from emboss import Document, Table, Image
from emboss.crossref import CrossReferenceIndex

doc = Document(title="Research Paper", style="academic")
doc.table(
    headers=["Variable", "Value"],
    rows=[["x", "42"]],
    caption="Experimental results",
    label="results-table",
)
doc.paragraph("As shown in @results-table, the value of x is 42.")

The @label syntax resolves to "Table 1", "Figure 2", etc., with automatic counter tracking via NumberingContext. Captions are numbered automatically ("Figure 1: ...", "Table 1: ..."), and each @label reference becomes a clickable in-document link (a GoTo action targeting the labeled element's page).

Section numbering is available by setting number_sections = True on the document; headings are numbered hierarchically and @label references to sections resolve to the section number.

---

SVG Embedding

Embed SVG vector graphics as native PDF paths, no rasterization:

doc.svg("""
<svg width="200" height="100">
  <rect x="10" y="10" width="80" height="80" fill="#2563eb"/>
  <circle cx="150" cy="50" r="40" fill="#dc2626"/>
</svg>
""", width=200, height=100)

A substantial subset of static SVG is supported, using only the standard library:

• Shapes: rect, circle, ellipse, line, polygon, polyline.
• Full path data: path supports M/L/H/V/C/S/Q/T/A/Z, including relative lowercase forms and implicit command repetition -- elliptical arcs (A) are converted to cubic Bezier segments.
• Transforms: translate, scale, rotate (with an optional pivot), skewX, skewY, and matrix, composed correctly through nested <g> groups.
• Gradients: linearGradient and radialGradient, including href stop inheritance, rendered as banded fills; gradient_shading builds the equivalent true PDF type 2/3 /Shading dictionary for callers wiring page resources directly.
• Clipping: clipPath compiles to a real PDF clip (W n).
• Opacity: element and group opacity/fill-opacity/stroke-opacity emit real ExtGState (gs) operators, not simulated transparency.
• Text: <text> with text-anchor, using base-14 metrics mapped from the requested font-family.
• <use>/<defs>: reference-based reuse with a bounded reference depth to guard against cycles.
• Excluded by design: filters, animation, masks, patterns, and CSS beyond the style attribute.

---

Diagrams

Node/edge graphs (architecture diagrams, flowcharts, state machines) with automatic layout: no coordinates to compute by hand.

doc.diagram(
    nodes=[
        {"id": "api", "label": "API Gateway"},
        {"id": "auth", "label": "Auth Service"},
        {"id": "db", "label": "User Store", "shape": "store"},
        {"id": "ok", "label": "Response", "shape": "rounded"},
    ],
    edges=[
        {"src": "api", "dst": "auth", "label": "verify"},
        {"src": "auth", "dst": "db"},
        {"src": "db", "dst": "auth", "style": "dashed"},
        {"src": "auth", "dst": "ok"},
    ],
    caption="Login flow",
)

• Layout is automatic: a longest-path layering assigns nodes to layers, barycenter sweeps order nodes within each layer to reduce edge crossings, and cycles are handled by reversing back edges for layout purposes while rendering them along their true direction.
• Node shapes: box, rounded, decision (diamond), store (database cylinder), start_end (pill).
• Edges: solid or style="dashed", with optional labels; self-loops render as a small loop back into the node.
• Renders as native vector graphics (an SvgBlock under the hood), with a deterministic, auto-generated /Alt description summarizing the node and edge count -- no diagram ships without accessible alt text.
• Also available as a fenced Markdown block: a ```diagram fence with id: Label [shape] node lines, a -> b: label (or --> for dashed) edge lines, and an optional direction: right line.
• Lower-level API: emboss.diagrams.layout_diagram, render_diagram_svg, diagram_alt_text, and the DiagramNode/DiagramEdge dataclasses.

---

Multi-Column Layout

from emboss import Document, PageSpec

doc = Document(
    title="Newsletter",
    page=PageSpec.a4(columns=2, column_gap=18),
)
doc.heading("Top Stories", level=1)
doc.paragraph("Content flows automatically across columns...")

Content flows between columns automatically. Column-spanning elements (headings, wide tables) are supported via the column_span style property.

---

Math Notation

LaTeX-style math rendering with support for common commands:

doc.math(r"E = mc^2")
doc.math(r"\int_{0}^{\infty} e^{-x^2} dx = \frac{\sqrt{\pi}}{2}")
doc.math(r"\begin{pmatrix} a & b \\ c & d \end{pmatrix}")
doc.math(r"f(x) = \begin{cases} x^2 & x \ge 0 \\ -x & x < 0 \end{cases}")

Supported: superscripts, subscripts, fractions (\frac), square roots (\sqrt), integrals, summations, Greek letters, \text{}, \mathcal, \mathbb, \mathbf, \mathrm, \operatorname, and more.

Environments

\begin{...} with & column separators and \\ row breaks:

• Matrices: matrix, pmatrix, bmatrix, vmatrix, Bmatrix
• Piecewise: cases
• Aligned equations: aligned, align, align*, split
• Gathered equations: gathered, gather, gather*

Real Math Alphabets

\mathbb, \mathcal/\mathscr, and \mathfrak render actual double-struck, script, and fraktur glyphs (Unicode Mathematical Alphanumeric Symbols, with the letterlike-symbol exceptions like \mathbb{R} and \mathcal{H} mapped to their reserved codepoints) from the bundled Emboss Math font, not a font-substitution approximation:

doc.math(r"\mathbb{R}^n \to \mathcal{H}")

MathML Input

Presentation MathML is accepted alongside LaTeX. parse_math (and MathBlock/doc.math) auto-detects a source starting with <math and routes it through emboss.mathml.parse_mathml into the same AST the LaTeX parser produces, so layout and rendering are shared:

doc.math('<math><mfrac><mi>a</mi><mi>b</mi></mfrac></math>')

Supported elements: mi/mn/mo tokens, mrow, mfrac, msqrt/mroot, msup/msub/msubsup, munder/mover/munderover (mapped onto the display-limit machinery), mtable/mtr/mtd, mfenced, mtext, mspace, mstyle, and semantics (annotations ignored). HTML5/MathML named entities are expanded and namespaces stripped, using only the standard library; malformed input raises ValueError rather than rendering garbage.

Layout Quality

Layout comes from real metrics, not approximations: glyph dimensions use the base-14 AFM tables (Times italic for variables, Times roman for text, Symbol for operators), inter-atom spacing follows the TeX spacing classes (thin, medium, thick), and in display mode \sum, \prod, \int, and \lim place their limits above and below the operator.

---

Code Blocks

Syntax-highlighted code with optional line numbers:

doc.code_block(
    code='def hello():\n    print("Hello, world!")',
    language="python",
    line_numbers=True,
)

Built-in highlighters for Python, JavaScript, TypeScript, SQL, JSON, HTML, CSS, Rust, Go, Java, C, and more.

---

Charts

Data visualization rendered as native PDF vector graphics:

doc.chart(
    chart_type="bar",
    labels=["Q1", "Q2", "Q3", "Q4"],
    values=[120, 150, 180, 210],
    caption="Quarterly Revenue ($M)",
)

Chart types: bar, line, pie, scatter.

---

PDF/A Archival Output

Generate PDF/A-2b compliant output for long-term archival:

doc = Document(
    title="Annual Filing",
    pdfa=True,       # enables PDF/A-2b conformance
    tagged=True,     # required for PDF/A
)

Includes XMP metadata, sRGB ICC output intent, and all required PDF/A catalog entries.

---

CMYK and Print Production

Set color_mode="cmyk" and every draw path (text, rules, tables, charts, shapes) emits CMYK operators (k/K) instead of RGB:

from emboss import Document, Paragraph, TextRun

doc = Document(
    title="Print Run",
    color_mode="cmyk",
    pdfa=True,   # output intent switches to a CMYK profile (N=4)
)
doc.paragraph([TextRun(text="Brand red", color="cmyk(0,100,95,0)")])
doc.paragraph([TextRun(text="Spot ink", color="spot(PANTONE 485 C,0,100,95,0)")])
doc.save("print_run.pdf")

• cmyk(c,m,y,k) color strings work anywhere a color is accepted; RGB colors are converted when the document is in CMYK mode
• spot(name,c,m,y,k) defines a named spot color, emitted as a PDF Separation color space with a CMYK fallback
• PDF/A output in CMYK mode uses a CMYK OutputIntent instead of sRGB
• Redaction and signature appearances follow the document's color mode

---

Digital Signatures

Sign PDFs with X.509 certificates. A visual signature field is placed at render time; the PKCS#7 signature is injected afterward:

from emboss import Document, SignatureField
from emboss.signing import sign_pdf

doc = Document(
    title="Approval",
    signatures=[
        SignatureField(
            page_index=0, x=360, y=60, signer_name="Jane Doe",
            reason="Approved", location="San Francisco",
        )
    ],
)
pdf_bytes = doc.render()

signed_bytes = sign_pdf(pdf_bytes, "signer-key.pem", "signer.pem")

Requires pip install emboss-pdf[signing].

DocMDP Certification Signatures

sign_pdf(..., certify=True, docmdp_permission=2) produces an ISO 32000-1 12.8.2.3 certification signature: the /DocMDP entry it asserts states what changes (if any) are permitted after signing (1 forbids any further changes, 2 -- the default -- permits form fill-in and further signing, 3 additionally permits annotations). A certifying signature must be the document's first signature field; build_docmdp_reference, build_certifying_signature, and build_perms_dict (in emboss.signing) build the underlying /Reference, signature field, and catalog /Perms entries for callers assembling the PDF at a lower level than Document.render.

---

Redaction

Two redaction models are available, and they are not equally honest. Construction-time redaction (Document.redact) is the one to use for anything that actually matters: it matches whole content blocks -- by stable node id, a regex or predicate over the block's plain text, or element type -- and removes or replaces them before layout or rendering, so the real text never reaches a content stream.

from emboss import Callout, RedactionRule

rules = [
    RedactionRule(name="ssn", pattern=r"\d{3}-\d{2}-\d{4}"),
    RedactionRule(name="internal-notes", element_type=Callout, mode="remove"),
]
redacted_doc = doc.redact(rules)
pdf_bytes = redacted_doc.render()

redacted_doc.redaction_log   # what was removed, by which rule, before removal -- an audit trail, never auto-attached to output

mode="placeholder" (the default) replaces a matched block with same-length filler text so the layout doesn't visibly reflow, then covers the filler's own rendered footprint with an opaque box -- the box conceals filler, never the original content. mode="remove" drops the block outright. Placeholder mode covers the common text-bearing block types (Heading, Paragraph, BlockQuote, Callout, Footnote, PullQuote, BulletList, NumberedList, Table, CodeBlock); match other element types with mode="remove".

The older RedactionMark/Document.redactions mechanism draws opaque rectangles directly onto an already-rendered page and is kept for callers masking content that never went through a Document at all (it is also what the diff/redline change-bars use) -- the underlying text is still in the content stream underneath the box, so it is not a substitute for construction-time redaction of real secret text.

For payloads that need to travel with the PDF but stay opaque to anyone without a password, Document.attach_encrypted(name, data, password) queues an AES-256-GCM-encrypted /AF attachment (relationship="EncryptedPayload"), decrypted later with emboss.decrypt_attachment.

---

Validation

Constraints are checked before rendering. Repairable issues are fixed automatically; genuine errors are reported:

from emboss import ConstraintValidator

result = ConstraintValidator().validate(doc)
for issue in result.issues:
    print(issue)
# fixed/mathematical: column widths rescaled to fit page
# fixed/structural: orphan heading moved to next page

---

Adapters

Export to multiple formats from a single document spec:

from emboss.adapters.html_export import to_html
from emboss.adapters.markdown_export import to_markdown
from emboss.adapters.docx_export import to_office_dict

html_str = to_html(doc)
md_str = to_markdown(doc)
office_data = to_office_dict(doc)

Pydantic Schema (LLM Integration)

from emboss.adapters.pydantic_schema import DocumentSpec, generate_json_schema

# Get the JSON Schema for LLM structured output
schema = generate_json_schema()

# Parse an LLM-generated JSON document
doc = DocumentSpec.model_validate_json(json_string).to_document()
pdf_bytes = doc.render()

---

API Reference

Document

Document(
    title="",              # Document title (appears in PDF metadata and title block)
    author="",             # Author name
    subject="",            # Subject line
    keywords="",           # Comma-separated keywords
    language="en-US",      # BCP 47 language tag
    style="corporate",     # Preset name or StyleSheet instance
    brand=None,            # BrandKit layered on top of `style`
    page=PageSpec(),       # Page dimensions and margins
    page_styles={},        # Name -> PageSpec, switched via PageBreak.page_style
    content=[],            # List of block elements
    header=None,           # HeaderFooter for page headers
    footer=None,           # HeaderFooter for page footers
    page_numbers=True,     # Show page numbers
    tagged=True,           # Generate PDF/UA structure tree
    legal=None,            # LegalFeatures (Bates, line numbers, watermark)
    pdfa=False,            # Generate PDF/A-2b (or -3b with embed_spec) output
    toc=False,             # Generate table of contents
    color_mode="rgb",      # "rgb" or "cmyk" (print production)
    signatures=None,       # Digital signature fields
)

Convenience Methods

doc.heading(text, level=1)
doc.paragraph(content)
doc.bullets(items)
doc.numbered(items)
doc.table(headers, rows)
doc.image(source, width=None, caption=None)
doc.chart(chart_type, labels, values)
doc.diagram(nodes, edges=(), direction="down", caption=None)
doc.code_block(code, language="text")
doc.math(source)
doc.footnote(content)
doc.callout(content, variant="note")
doc.svg(source)
doc.rule()
doc.page_break(page_style=None)
doc.cover(title); doc.abstract(text); doc.authors(authors); doc.pull_quote(text)
doc.stat_tiles(stats); doc.table_of_contents(); doc.appendix(title, *blocks)
doc.index(); doc.glossary(entries)
doc.render(linearize=False, embed_spec=False) -> bytes
doc.save(path, linearize=False, embed_spec=False)
doc.layout_map() -> dict

Document.from_pdf(source, strict=False)   # recover a Document from a rendered PDF

---

Performance

• Layout is pure Python with Knuth-Plass optimal line breaking
• Font metrics are cached with LRU caching
• A typical 10-page document renders in ~50-100ms
• 200-page documents are supported with ~20-50MB peak memory
• O(n) linear scaling with document size

---

Development

Setup

git clone https://github.com/GGChamp85/Emboss.git
cd Emboss
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Running Tests

pytest                          # run all tests
pytest tests/test_emboss.py     # run core tests
pytest -q                       # quiet mode

Code Quality

ruff check src/ tests/          # linting
mypy src/emboss/                # type checking

Generating Example PDFs

python examples/financial_report.py
python examples/legal_pleading.py
python examples/showcase.py

---

Architecture

Document (EmbossSpec)
    |
    v
ConstraintValidator --> validate + auto-fix
    |
    v
LayoutEngine --> measure (font metrics) --> paginate (Knuth-Plass)
    |
    v
Renderer --> ContentStream (PDF operators) + StructureTree (PDF/UA tags)
    |
    v
PDFAssembler --> byte-exact PDF with content-derived /ID

Package Structure

src/emboss/
  spec.py               # Document data model (EmbossSpec)
  writer.py             # Render pipeline: measure -> paginate -> render
  styles.py             # Cascading style system + presets
  constraints.py        # Validation + auto-fix
  layout/
    engine.py           # Layout engine: measurement + pagination
  typography/
    font_metrics.py     # Glyph metrics, kerning, subsetting
    line_breaking.py    # Knuth-Plass line breaker
    hyphenation.py      # Knuth-Liang hyphenation
    ligatures.py        # fi/fl/ffi/ffl substitution
    numbers.py          # Deterministic display number formatting
  pdf/
    assembler.py        # Low-level PDF object writer
    fonts.py            # Font resource building + subsetting
    objects.py          # PDF object types (Dict, Array, Stream)
    streams.py          # Content stream operators (text, shapes)
    tags.py             # PDF/UA structure tree builder
    verify.py           # Structural verification + real veraPDF conformance
    attachments.py      # /AF embedded-file attachments (PDF/A-3)
  adapters/
    html_export.py      # HTML export
    markdown_export.py  # Markdown export
    docx_export.py      # DOCX export
    pydantic_schema.py  # JSON Schema / Pydantic models for LLM
  math_render.py        # LaTeX math parser + renderer, math alphabets
  mathml.py             # Presentation MathML parser
  code_highlight.py     # Syntax highlighting
  charts.py             # Chart rendering
  chart_facts.py        # Chart fact extraction + caption verification
  images.py             # Image handling
  svg.py                # SVG parser + renderer (paths, gradients, clipping)
  diagrams.py           # Node/edge diagram layout + SVG rendering
  crossref.py           # Cross-reference resolution
  numbering.py          # Figure/table auto-numbering
  templates.py          # Document templates
  bibliography.py       # Citation formatting
  colors.py             # Color palettes + theming
  brandkit.py           # Versioned brand object
  bundled_fonts.py      # Bundled OFL font set + registration
  intelligence.py       # Content analysis + smart typography
  toc.py                # Table of contents generation
  pdfa.py               # PDF/A-2b/A-3b conformance
  signing.py            # Digital signatures
  redaction.py          # Content redaction
  slides.py             # SlideDeck + slide/presentation layout
  nodeid.py             # Stable node ids + layout map
  recovery.py           # Spec embedding, from_pdf recovery, strip_pdf
  manifest.py           # Reproducibility manifest + reproduce()
  diff.py               # Node-keyed document diff + redline rendering
  generate.py           # LLM prompt, structured generation, spec parsing
  markdown.py           # Markdown -> EmbossSpec parser

---

Roadmap

Phase	Scope	Status
1	Core engine, typography, layout, tagging	Done
2	Unicode CIDFont, code highlighting, math, bibliography, charts	Done
3	Images, SVG, TOC, multi-column, templates	Done
4	PDF/A, redaction, digital signatures	Done
5	Cross-references, custom headers/footers, numbered lists	Done
6	Micro-typography, GPOS kerning, performance, CMYK	Done
7	BrandKit, SlideDeck, diagrams, MathML, real veraPDF conformance, self-describing PDFs (embed_spec/from_pdf/strip), document diff and redline, reproducibility manifest, construction-time redaction, DocMDP certification signatures, encrypted attachments, node-scoped patching	Done

---

License

Apache-2.0. See LICENSE for the full text.