unpdf-cli-0.34.0 is not a library.

unpdf

A high-performance Rust library for extracting content from PDF documents to structured Markdown, plain text, and JSON.

Features

Comprehensive PDF support: PDF 1.0-2.0, including compressed object streams
Encrypted PDF support: RC4 and AES-128 decryption (auto-tries empty password)
Multiple output formats: Markdown, Plain Text, JSON (with full metadata)
Structure preservation: Headings, paragraphs, lists, tables, inline formatting
CJK text support: Adobe CMap resources; a paragraph's lines join without a space inside a word — always between Chinese or Japanese characters, and between Hangul syllables where the page shows the break falls inside a word (a space written only at word breaks, or how full a justified column's line is)
Page numbers left out: bare page numbers in the header, the footer or a side margin are not read into the text
RTL text support: Arabic and Hebrew with Unicode BiDi reordering
Form field extraction: AcroForm fields (text, checkbox, radio, dropdown) with values
Multi-column layout: Recursive XY-Cut algorithm for N-column detection
Asset extraction: Images, fonts, and embedded resources
Extraction quality diagnostics: Automatic detection and reporting of extraction issues
Text cleanup: Multiple presets for LLM training data preparation
Self-update: Built-in update mechanism via GitHub releases
WebAssembly / npm (0.7.0+): @iyulab/unpdf — browser and Node.js via wasm-bindgen; live playground
C-ABI FFI: Native library for C#, Python, and other languages
Parallel processing: Uses Rayon for multi-page documents
Streaming pipeline (0.4.0+): PdfParser::for_each_page yields pages as they parse; peak memory bounded by window size regardless of document size
Deterministic page ordering: Parallel page parsing emits results in page_num ASC order via internal reorder buffer
Image deduplication (0.6.0+): Identical images across pages are written to disk only once; duplicate references are resolved to the canonical copy

Installation
CLI Usage
Rust Library Usage
WebAssembly / JavaScript
Python Integration
C# / .NET Integration
Output Formats
Feature Flags
License

Installation

Pre-built Binaries (Recommended)

Download the latest release from GitHub Releases.

Windows (x64)

# Download and extract (replace VERSION with the actual version, e.g. v0.7.0)
$VERSION = (Invoke-RestMethod "https://api.github.com/repos/iyulab/unpdf/releases/latest").tag_name
Invoke-WebRequest -Uri "https://github.com/iyulab/unpdf/releases/latest/download/unpdf-windows-x86_64-${VERSION}.zip" -OutFile "unpdf.zip"
Expand-Archive -Path "unpdf.zip" -DestinationPath "."

# Move to a directory in PATH (optional)
Move-Item -Path "unpdf.exe" -Destination "$env:LOCALAPPDATA\Microsoft\WindowsApps\"

# Verify installation
unpdf version

Linux (x64)

# Download and extract (replace VERSION with the actual version, e.g. v0.7.0)
VERSION=$(curl -s "https://api.github.com/repos/iyulab/unpdf/releases/latest" | grep '"tag_name"' | cut -d'"' -f4)
curl -LO "https://github.com/iyulab/unpdf/releases/latest/download/unpdf-linux-x86_64-${VERSION}.tar.gz"
tar -xzf "unpdf-linux-x86_64-${VERSION}.tar.gz"

# Install to /usr/local/bin (requires sudo)
sudo mv unpdf /usr/local/bin/

# Or install to user directory
mkdir -p ~/.local/bin
mv unpdf ~/.local/bin/
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

# Verify installation
unpdf version

macOS

# Intel Mac (replace VERSION with the actual version, e.g. v0.7.0)
VERSION=$(curl -s "https://api.github.com/repos/iyulab/unpdf/releases/latest" | grep '"tag_name"' | cut -d'"' -f4)
curl -LO "https://github.com/iyulab/unpdf/releases/latest/download/unpdf-macos-x86_64-${VERSION}.tar.gz"
tar -xzf "unpdf-macos-x86_64-${VERSION}.tar.gz"

# Apple Silicon (M1/M2/M3/M4)
curl -LO "https://github.com/iyulab/unpdf/releases/latest/download/unpdf-macos-aarch64-${VERSION}.tar.gz"
tar -xzf "unpdf-macos-aarch64-${VERSION}.tar.gz"

# Install
sudo mv unpdf /usr/local/bin/

# Verify
unpdf version

Available Binaries

Platform	Architecture	File
Windows	x64	`unpdf-windows-x86_64-{version}.zip`
Linux	x64	`unpdf-linux-x86_64-{version}.tar.gz`
Linux	x64 (musl)	`unpdf-linux-x86_64-musl-{version}.tar.gz`
macOS	Intel	`unpdf-macos-x86_64-{version}.tar.gz`
macOS	Apple Silicon	`unpdf-macos-aarch64-{version}.tar.gz`

Updating

unpdf includes a built-in self-update mechanism:

# Check for updates
unpdf update --check

# Update to latest version
unpdf update

# Force reinstall (even if on latest)
unpdf update --force

Install via Cargo

If you have Rust installed:

# Install CLI
cargo install unpdf-cli

# Add library to your project
cargo add unpdf

CLI Usage

Quick Start

# Extract to Markdown + images (default)
unpdf document.pdf

# Specify output directory
unpdf document.pdf ./output

# With text cleanup for LLM training
unpdf document.pdf --cleanup aggressive

Output Structure

document_pdf_output/
├── extract.md      # Markdown output with frontmatter
└── images/         # Extracted images (if any)
    ├── page1_img1.png
    └── page2_img1.jpg

Use unpdf convert <file> --all to produce all three formats at once:

document_pdf_output/
├── extract.md      # Markdown output with frontmatter
├── extract.txt     # Plain text output
├── content.json    # Full structured JSON
└── images/

Commands

unpdf <file> [output]              # Convert to Markdown + extract images (default)
unpdf convert <file> [OPTIONS]     # Convert with full format/streaming control
unpdf markdown <file> [OPTIONS]    # Convert to Markdown only (alias: md)
unpdf text <file> [OPTIONS]        # Convert to plain text only
unpdf json <file> [OPTIONS]        # Convert to JSON only
unpdf info <file>                  # Show document information
unpdf extract <file> [OPTIONS]     # Extract images only
unpdf update [OPTIONS]             # Self-update to latest version
unpdf version                      # Show version information

Convert (multi-format streaming pipeline)

# Markdown only (default)
unpdf convert document.pdf

# All formats + images
unpdf convert document.pdf --all -o ./output

# Specific formats
unpdf convert document.pdf --formats md,txt,json

# Skip image extraction
unpdf convert document.pdf --no-images

# Custom image directory
unpdf convert document.pdf --image-dir ./assets

# Drop images smaller than 128px (filter decorative icons)
unpdf convert document.pdf --min-image-size 128

# Tune streaming window size (pages in-flight, default: auto)
unpdf convert document.pdf --window 4

Convert Options

Option	Description	Default
`-o, --output`	Output directory	`<stem>_<ext>_output/` next to the input
`--formats`	Comma-separated formats: `md,txt,json`	`md`
`--all`	Output all formats (MD + TXT + JSON)	false
`--no-images`	Skip image extraction	false
`--image-dir`	Custom image output directory	`<out>/images`
`--min-image-size`	Min pixel dimension; smaller images skipped	64
`--window`	Streaming window size (pages in-flight)	auto
`--keep-ocr-text`	Keep a scan's OCR text layer even when it recognised nothing readable	false
`--cleanup`	Text cleanup: `minimal`, `standard`, `aggressive`	none
`--page-markers`	Insert `<!-- page N -->` markers	false
`--ai-base-url`, `--ai-api-key`, `--ai-model`, `--ai-image-scope`, `--ai-refine`	See AI-assisted extraction. Configuring these switches `convert` to a buffered parse	off
`-q, --quiet`	Suppress progress and warnings	false

Convert to Markdown

# Basic conversion (output to stdout)
unpdf markdown document.pdf

# Save to file
unpdf markdown document.pdf -o output.md

# With YAML frontmatter
unpdf markdown document.pdf --frontmatter -o output.md

# With text cleanup for LLM training
unpdf markdown document.pdf --cleanup standard -o cleaned.md

# Table rendering options
unpdf markdown document.pdf --table-mode html -o output.md

# Specify page range
unpdf markdown document.pdf --pages 1-10 -o output.md

# Insert page boundary markers for AI pipeline / RAG use
unpdf markdown document.pdf --page-markers -o output.md

Markdown Options

Option	Description	Default
`-o, --output`	Output file path	stdout
`-f, --frontmatter`	Include YAML frontmatter	false
`--table-mode`	Table rendering: `markdown`, `html`, `ascii`	markdown
`--cleanup`	Text cleanup: `minimal`, `standard`, `aggressive`	none
`--refine`	Apply the markdown shape-refinement pass	false
`--max-heading`	Maximum heading level (1-6)	6
`--pages`	Page range (e.g., `1-10`, `1,3,5`)	all
`--page-markers`	Insert `<!-- page N -->` markers at page boundaries	false
`--ai-base-url`, `--ai-api-key`, `--ai-model`, `--ai-image-scope`, `--ai-refine`	See AI-assisted extraction	off
`-q, --quiet`	Suppress quality warnings (root-level flag: `unpdf --quiet markdown ...`)	false

Convert to Plain Text

# Basic extraction
unpdf text document.pdf

# With cleanup
unpdf text document.pdf --cleanup standard -o output.txt

# Specific pages
unpdf text document.pdf --pages 1-5 -o output.txt

Convert to JSON

# Pretty-printed JSON
unpdf json document.pdf -o output.json

# Compact JSON
unpdf json document.pdf --compact -o output.json

AI-assisted extraction

Optional, off by default, and entirely inert until an endpoint is configured — without these flags the output is byte-identical to a build that never had them.

Pointing unpdf at an OpenAI-compatible endpoint lets a vision model describe images the text layer cannot represent: a full-page scan with no extractable text, a chart, a photo. Tables recovered this way keep their merged-cell structure, which Markdown's own table syntax cannot express.

# Describe every parsed image
unpdf markdown document.pdf \
  --ai-base-url https://api.example.com/v1 \
  --ai-api-key "$MY_KEY" \
  --ai-model some-vision-model \
  -o output.md

# Only pages the low-confidence OCR gate flagged (cheaper, narrower)
unpdf markdown scan.pdf --ai-image-scope low-confidence-only ... -o out.md

# Additionally run the rendered markdown through an AI refine pass
unpdf markdown document.pdf --ai-refine ... -o out.md

Option	Description	Default
`--ai-base-url`	Endpoint base URL, without a trailing `/chat/completions`	—
`--ai-api-key`	Bearer token. Also read from `UNPDF_AI_API_KEY`	—
`--ai-model`	Model name to request	—
`--ai-image-scope`	`all`, or `low-confidence-only`	`all`
`--ai-refine`	Run an AI refine pass over the rendered markdown	false

The first three go together: supplying only some of them is an error rather than a silent fallback, so a typo cannot look like a model that simply found nothing to say.

Availability. The passes run over a fully assembled document, so they are offered on every command that produces one: convert, markdown, text and json. convert normally streams pages to keep memory flat; configuring AI switches it to a buffered parse, since a run making a vision-model call per page is not one whose bottleneck is resident memory. Output is otherwise unchanged — same files, same bytes. --ai-refine rewrites markdown, so it is offered only where markdown is rendered (convert and markdown). When a call fails, extraction still succeeds with the original content and the failure is counted in extraction_quality.ai_fallback_count.

Requires the ai cargo feature, which is on by default. Library consumers who want neither the feature nor its HTTP dependency can opt out with default-features = false.

Show Document Information

unpdf info document.pdf

Output:

Document Information
────────────────────────────────────────
File: document.pdf
Format: PDF 1.7
Pages: 42
Encrypted: No
Title: My Document
Author: John Doe
Creator: Microsoft Word
Producer: Adobe PDF Library
Created: 2025-01-15T10:30:00Z
Modified: 2025-01-20T14:45:00Z

Content Statistics
────────────────────────────────────────
Words: 12500
Characters: 75000
Images: 15

Extract Images

# Extract to current directory
unpdf extract document.pdf

# Extract to specific directory
unpdf extract document.pdf -o ./images

# Extract specific pages
unpdf extract document.pdf --pages 1-5 -o ./images

Self-Update

# Check for updates
unpdf update --check

# Update to latest version
unpdf update

# Force reinstall
unpdf update --force

Examples

# Convert PDF to Markdown with frontmatter
unpdf md report.pdf --frontmatter -o report.md

# Convert with aggressive cleanup for AI training
unpdf md document.pdf --cleanup aggressive -o cleaned.md

# Batch conversion (shell)
for f in *.pdf; do unpdf md "$f" -o "${f%.pdf}.md"; done

# Batch conversion (PowerShell)
Get-ChildItem *.pdf | ForEach-Object { unpdf md $_.FullName -o "$($_.BaseName).md" }

Rust Library Usage

Quick Start

use unpdf::{parse_file, render};

fn main() -> unpdf::Result<()> {
    // Parse PDF document
    let doc = parse_file("document.pdf")?;

    // Convert to Markdown
    let options = render::RenderOptions::default();
    let markdown = render::to_markdown(&doc, &options)?;
    println!("{}", markdown);

    // Get plain text
    let text = render::to_text(&doc, &options)?;

    // Get JSON
    let json = render::to_json(&doc, render::JsonFormat::Pretty)?;

    Ok(())
}

Builder API

Unpdf provides a fluent builder for the common parse-then-render workflow:

use unpdf::{Unpdf, CleanupPreset, TableFallback, PageSelection};

let markdown = Unpdf::new()
    .lenient()
    .with_frontmatter()
    .with_cleanup(CleanupPreset::Aggressive)
    .with_table_fallback(TableFallback::Html)
    .with_pages(PageSelection::Range(1..=20))
    .parse("document.pdf")?
    .to_markdown()?;

Convenience Functions

// Parse from bytes or a reader
let doc = unpdf::parse_bytes(&pdf_bytes)?;
let doc = unpdf::parse_reader(std::fs::File::open("doc.pdf")?)?;

// Password-protected PDF
let doc = unpdf::parse_file_with_password("protected.pdf", "secret")?;

// One-shot conversions without building a Document first
let text     = unpdf::extract_text("document.pdf")?;
let markdown = unpdf::to_markdown("document.pdf")?;
let json     = unpdf::to_json("document.pdf", unpdf::JsonFormat::Pretty)?;

Render Options

use unpdf::render::{RenderOptions, CleanupPreset, TableFallback};
use unpdf::PageMarkerStyle;

let options = RenderOptions::new()
    .with_frontmatter(true)
    .with_table_fallback(TableFallback::Html)
    .with_cleanup_preset(CleanupPreset::Aggressive)
    .with_max_heading(3)
    .with_page_range(1..=10)
    .with_page_markers(PageMarkerStyle::Comment); // <!-- page N --> at each page boundary

let markdown = render::to_markdown(&doc, &options)?;

Working with Document Structure

use unpdf::parse_file;

let doc = parse_file("document.pdf")?;

// Access metadata
println!("Title: {:?}", doc.metadata.title);
println!("Author: {:?}", doc.metadata.author);
println!("Pages: {}", doc.page_count());
println!("PDF Version: {}", doc.metadata.pdf_version);

// Iterate pages
for (page_num, page) in doc.pages.iter().enumerate() {
    println!("Page {}: {} blocks", page_num + 1, page.elements.len());
    for element in &page.elements {
        // Process paragraphs, tables, images, etc.
    }
}

// Extract images
for (id, resource) in &doc.resources {
    if resource.is_image() {
        let filename = resource.suggested_filename(id);
        std::fs::write(&filename, &resource.data)?;
    }
}

Page Range Selection

use unpdf::{parse_file, PageSelection};

// Parse only specific pages
let doc = parse_file_with_options("large.pdf", ParseOptions {
    pages: PageSelection::Range(1..=10),
    ..Default::default()
})?;

// Or parse all and render specific pages
let doc = parse_file("document.pdf")?;
let options = RenderOptions::new()
    .with_pages(vec![1, 3, 5, 7]);
let markdown = render::to_markdown(&doc, &options)?;

Handling Encrypted PDFs

unpdf tries the empty user password first, which opens owner-password-only documents. When that does not authenticate, the password you supplied is tried; if it does not work either, the error is ErrorKind::InvalidPassword rather than ErrorKind::Encrypted, so "wrong password" and "no password given" stay distinguishable.

use unpdf::{parse_file, parse_file_with_options, ParseOptions};

// Auto-decrypts owner-password-only PDFs
let doc = parse_file("restricted.pdf")?;

// Provide a password for user-password-protected PDFs
let options = ParseOptions::new().with_password("secret");
let doc = parse_file_with_options("protected.pdf", options)?;

// Check extraction quality
if let Some(warning) = doc.extraction_quality.warning_message() {
    eprintln!("{}", warning);
}

Working with Form Fields

use unpdf::parse_file;

let doc = parse_file("form.pdf")?;
for field in &doc.form_fields {
    println!("{}: {}", field.name, field.display_value());
}

Error Handling Defaults

Parsing is lenient by default. A PDF that is damaged in one place still yields the pages and text that could be read, rather than failing whole. That is the useful default for a format where partial damage is common and a caller usually wants whatever survived.

The cost of a lenient default is that a successful call can return less than the document held, so every kind of loss is counted rather than swallowed — see Detecting Incomplete Extraction below, and check extraction_quality on any result you intend to index or archive.

Opt into failing instead:

use unpdf::{parse_file_with_options, ErrorMode, ParseOptions};

let options = ParseOptions::new().with_error_mode(ErrorMode::Strict);
let doc = parse_file_with_options("document.pdf", options)?;

Under Strict the same damage is an error: a content stream that cannot be decoded fails the document instead of leaving a shorter page. A page that legitimately has no content at all is not damage and stays a success in both modes.

Its sibling parsers answer this differently, because the formats do: unhwp defaults to strict, and undoc has no error mode at all. Code that drives all three should not assume a shared default.

Classifying Failures

Error::kind() returns a stable ErrorKind so you can branch on why a call failed without matching on the message — useful when several failures reach the user as the same "extraction failed":

use unpdf::{parse_file, ErrorKind};

match parse_file("document.pdf") {
    Ok(doc) => println!("{}", doc.page_count()),
    Err(e) => match e.kind() {
        ErrorKind::Encrypted | ErrorKind::InvalidPassword => eprintln!("Password required"),
        ErrorKind::Corrupted | ErrorKind::PdfParse => eprintln!("The file is damaged"),
        ErrorKind::UnknownFormat => eprintln!("Not a PDF"),
        _ => eprintln!("Extraction failed: {e}"),
    },
}

There is one ErrorKind variant per Error variant. The discriminants are explicit and part of the public contract — they cross the C ABI as unpdf_last_error_kind return values, so existing values are never renumbered.

Rendering a Page

With the raster feature (included in the C ABI, .NET and Python packages), a page renders to an image — painted from the same content interpretation text extraction reads, so it is the same page, box and rotation:

use unpdf::parser::raster::RasterOptions;
use unpdf::parser::PdfParser;

let parser = PdfParser::open("document.pdf")?;
let page = parser.render_page(3, &RasterOptions { dpi: 150.0, ..Default::default() })?;
std::fs::write("page3.png", page.to_png())?;
if !page.gaps.is_empty() {
    // Something on the page could not be painted — see `RasterGaps`.
}

Painted: text in embedded Type 1, TrueType, OpenType and CFF fonts, paths, clipping, colors, and images (Flate-family and JPEG, with soft and stencil masks). Not yet: Type 3 fonts, JPEG 2000/JBIG2/CCITT images, inline images and shadings — each is counted in gaps, and the rest of the page is still painted.

Text in a font the PDF names but does not embed — the standard 14, or a system font such as Arial or Times New Roman — is painted in a stand-in face of the same class (sans, serif or fixed-pitch, its weight and slant) fitted to the font's own widths, with the standard-fonts feature (included in the C ABI, .NET and Python packages; about 265 KB, the faces PDFium ships, BSD-3-Clause). Such runs are counted in substituted_text_runs, not in gaps: the text is there, in a face that is not the page's own. A symbolic font of unknown design has no stand-in and stays a gap, as does a composite (CID) font that is not embedded.

Detecting Incomplete Extraction

A damaged PDF does not always fail. When the cross-reference table survives but the objects it points at do not, the parser recovers the pages it can read and returns them — a success over an incomplete page set. extraction_quality reports that:

let doc = unpdf::parse_file("document.pdf")?;
let q = &doc.extraction_quality;

if q.pages_incomplete {
    // Extraction succeeded, but pages are missing from the output.
    eprintln!(
        "incomplete: extracted {} page(s), document declares {:?}",
        doc.page_count(),
        q.declared_page_count
    );
}

Field	Meaning
`pages_incomplete`	Pages are known to be missing. The one bit to branch on.
`declared_page_count`	Page count the document declares (`/Count`), or `None` if that was unreadable too.
`unresolved_page_nodes`	Unreadable page-tree nodes. Non-zero means incomplete — not a count of lost pages.
`skipped_object_count`	Objects that could not be loaded. Most cost no page (fonts, annotations), so this alone does not imply missing text.
`suppressed_text_runs`	Text runs the font decoder could not read and discarded. Non-zero means text is missing from an otherwise successful extraction.
`undecodable_content_streams`	Page content streams that could not be decoded. Lenient parsing leaves them out and keeps the rest of the page — an empty page when it was the page's only stream — so non-zero means content is missing. Strict parsing fails instead.
`unsupported_image_count`	Embedded images recognized as image XObjects but not extractable (unsupported color space/bit depth), so dropped. Distinguishes "no image" from "image present but couldn't be extracted".
`ai_fallback_count`	Times VLM image understanding fell back to the non-AI result (transport failure, non-success status, malformed response, or retries exhausted). Only ever non-zero when AI parse options are configured; extraction still succeeds, so treat it as a quality signal, not a failure. The render-side refine pass is not counted here.

suppressed_text_runs covers a second way content goes missing without an error. When a font's character codes cannot be resolved — a composite (Type0/CID) font with no usable ToUnicode map, most often — the decoder discards the run rather than emit the raw bytes as mojibake. That is the right call, but the discarded text is content the document had and the output does not. The count is in runs (a Tj operand, or one element of a TJ array), not characters: text that was never decoded has no knowable length. Treat any non-zero value as "incomplete"; compare magnitudes between documents, not against a total.

Worth surfacing wherever extraction feeds an index or archive: a page that silently never arrived is indistinguishable from a page that never existed, so the omission shows up later as a search result that isn't there rather than as an error. warning_message() already includes this case, ahead of the other warnings.

WebAssembly / JavaScript

npm install @iyulab/unpdf

Live playground → Drag and drop a PDF in the browser; no install required.

Browser / Bundler (webpack, vite)

import { parse } from '@iyulab/unpdf';

const response = await fetch('document.pdf');
const bytes = new Uint8Array(await response.arrayBuffer());

const doc = parse(bytes);
console.log(doc.toMarkdown());
console.log(doc.toText());
console.log(`Pages: ${doc.pageCount()}`);

Node.js

const { parse } = require('@iyulab/unpdf');
const fs = require('fs');

const bytes = new Uint8Array(fs.readFileSync('document.pdf'));
const doc = parse(bytes);
console.log(doc.toText());

With Options

import { parseWithOptions, ParseOptions } from '@iyulab/unpdf';

const opts = new ParseOptions()
  .lenient()
  .withPassword('secret')
  .withPages(1, 10);

const doc = parseWithOptions(bytes, opts);
console.log(doc.toMarkdown());

API Reference

Functions

Function	Signature	Description
`parse`	`(data: Uint8Array) => PdfDocument`	Parse PDF bytes
`parseWithOptions`	`(data: Uint8Array, opts: ParseOptions) => PdfDocument`	Parse with options

PdfDocument

Method	Returns	Description
`PdfDocument.fromBytes(data)`	`PdfDocument`	Parse PDF bytes (static; same as `parse`)
`toMarkdown()`	`string`	Convert to Markdown
`toText()`	`string`	Convert to plain text
`toJson()`	`string`	Convert to JSON
`pageCount()`	`number`	Total page count
`metadata()`	`string`	Metadata as JSON string
`extractionQuality()`	`string`	Extraction diagnostics as JSON string — check `pages_incomplete` before indexing the result

ParseOptions

Method	Description
`new()`	Default options
`lenient()`	Ignore recoverable errors
`textOnly()`	Skip image extraction
`withPassword(pw: string)`	Set decryption password
`withPages(from: number, to: number)`	Page range (1-indexed)

Python Integration

Install the Python package:

pip install unpdf-markdown

Basic Usage

from unpdf import to_markdown, to_text, to_json, get_info

# Convert PDF to Markdown
markdown = to_markdown("document.pdf")

# Convert to plain text
text = to_text("document.pdf")

# Convert to JSON
json_data = to_json("document.pdf")

# Get document information
info = get_info("document.pdf")
print(f"Title: {info.get('title')}")
print(f"Pages: {info.get('section_count')}")

get_info returns only the keys it found: title and author are absent when the document does not set them, and the page count is section_count.

Working with Paths and Bytes

Every function accepts a path (str or any os.PathLike, so pathlib.Path works) or the PDF's own bytes. The two are told apart by type, so there is no ambiguity:

from pathlib import Path
from unpdf import to_markdown

to_markdown("document.pdf")           # str path
to_markdown(Path("document.pdf"))     # pathlib.Path
to_markdown(pdf_bytes)                # bytes — parsed in memory, no temp file

Bytes input goes through the native in-memory parser, so uploads and blobs need no detour through the filesystem.

Check PDF Validity

from unpdf import is_pdf

# Check if file is a valid PDF
if is_pdf("document.pdf"):
    markdown = to_markdown("document.pdf")

Detecting Scanned (Image-only) PDFs

Empty extraction output can mean a scanned document (no text layer), a genuinely blank page, or a parse failure. The introspection surface tells them apart:

from unpdf import get_extraction_quality, get_page_stats

# Document level
quality = get_extraction_quality("scan.pdf")
if quality["is_scan_pdf"]:
    print("Scanned document - OCR required")

# Page level (works for mixed documents too)
stats = get_page_stats("scan.pdf", 1)
if stats["text_op_count"] == 0 and stats["image_op_count"] > 0:
    print("Page 1 is image-only (scanned)")
elif stats["text_op_count"] == 0:
    print("Page 1 is genuinely blank")

Note: a searchable scan (page image plus an invisible OCR text layer) reports text_op_count > 0 — combine the check with ocr_text_suppressed, which flags pages whose unreadable OCR layer was dropped.

The same call reports whether the document was damaged badly enough to lose pages — extraction can succeed over an incomplete page set:

quality = get_extraction_quality("document.pdf")
if quality["pages_incomplete"]:
    print(f"incomplete - document declares {quality['declared_page_count']} page(s)")

unresolved_page_nodes counts unreadable page-tree nodes, not lost pages — one unreadable node can cost a whole subtree, so treat any non-zero value as "incomplete" and nothing more.

Handling Failures

The checks above need a parsed document. When parsing itself fails, UnpdfError carries a kind so you can branch on the reason instead of matching on message text:

from unpdf import to_text, ErrorKind, UnpdfError

try:
    text = to_text("document.pdf")
except UnpdfError as e:
    if e.kind == ErrorKind.ENCRYPTED:
        print("Password required")
    elif e.kind in (ErrorKind.CORRUPTED, ErrorKind.PDF_PARSE):
        print("The file is damaged")
    elif e.kind == ErrorKind.UNKNOWN_FORMAT:
        print("Not a PDF")
    else:
        print(f"Extraction failed ({e.kind.name}): {e}")

UnpdfError subclasses RuntimeError, so existing except RuntimeError handlers keep working. ErrorKind values are part of the native ABI: new reasons take new numbers and existing ones are never renumbered, so treat an unrecognised value as a generic failure.

C# / .NET Integration

unpdf provides C-ABI compatible bindings for integration with C# and .NET applications.

Installation via NuGet

dotnet add package Unpdf

Or via Package Manager Console:

Install-Package Unpdf

Getting the Native Library (Manual)

Alternatively, download from GitHub Releases:

Platform	Archive	Library
Windows x64	`libunpdf-windows-x86_64-v<version>.zip`	`unpdf.dll`
Linux x64 (glibc)	`libunpdf-linux-x86_64-v<version>.tar.gz`	`libunpdf.so`
Linux x64 (musl)	`libunpdf-linux-x86_64-musl-v<version>.tar.gz`	`libunpdf.so`
macOS x64	`libunpdf-macos-x86_64-v<version>.tar.gz`	`libunpdf.dylib`
macOS arm64	`libunpdf-macos-aarch64-v<version>.tar.gz`	`libunpdf.dylib`

Each archive holds the library and its C header, unpdf.h.

Or build from source:

cargo build --release --features ffi

The C API is declared in include/unpdf.h. Failures return NULL (or -1); call unpdf_last_error() for the message and unpdf_last_error_kind() for the UnpdfErrorKind classification.

C# Wrapper Usage

The API is handle-based: parse once into an UnpdfDocument, then read from it. The handle owns native memory, so dispose it (using).

using Unpdf;

using var doc = UnpdfDocument.ParseFile("document.pdf");

string markdown = doc.ToMarkdown();
string text = doc.ToText();
string json = doc.ToJson(compact: false);
string plain = doc.PlainText();

// Document facts
Console.WriteLine($"Title: {doc.Title}, Pages: {doc.SectionCount}");

// Markdown options
string withFrontmatter = doc.ToMarkdown(new MarkdownOptions
{
    IncludeFrontmatter = true,
    EscapeSpecialChars = true,
    PageMarkers = true,
});

// A single page (1-indexed)
string page1 = doc.PageToMarkdown(1);

// Embedded resources (images and the like), by id
foreach (var id in doc.GetResourceIds())
{
    byte[]? bytes = doc.GetResourceData(id);
    if (bytes is not null)
        File.WriteAllBytes(Path.Combine("./images", id), bytes);
}

Parsing from memory works the same way: UnpdfDocument.ParseBytes(byte[]).

Note: SectionCount is the page count. ResourceCount counts embedded resources, which is not the same as the number of images — filter with GetResourceInfo(id) if you need images specifically. Its page field is the page a resource was collected from (1-based, the numbering of the page markers).

Detecting Scanned (Image-only) PDFs

Empty extraction output can mean a scanned document (no text layer), a genuinely blank page, or a parse failure. The introspection surface tells them apart:

using Unpdf;

using var doc = UnpdfDocument.ParseFile("scan.pdf");

// Document level
var quality = doc.GetExtractionQuality();
if (quality.IsScanPdf)
    Console.WriteLine("Scanned document - OCR required");

// Page level (works for mixed documents too)
var stats = doc.GetPageStats(1);
if (stats.TextOpCount == 0 && stats.ImageOpCount > 0)
    Console.WriteLine("Page 1 is image-only (scanned)");
else if (stats.TextOpCount == 0)
    Console.WriteLine("Page 1 is genuinely blank");

Note: a searchable scan (page image plus an invisible OCR text layer) reports TextOpCount > 0 — combine the check with OcrTextSuppressed, which flags pages whose unreadable OCR layer was dropped.

The same object reports whether the document was damaged badly enough to lose pages. Extraction can succeed over an incomplete page set, and a page that silently never arrived looks exactly like a page that never existed:

var quality = doc.GetExtractionQuality();
if (quality.PagesIncomplete)
    Console.WriteLine(
        $"incomplete: got {doc.SectionCount} page(s), " +
        $"document declares {quality.DeclaredPageCount}");

UnresolvedPageNodes counts unreadable page-tree nodes, not lost pages — one unreadable node can cost a whole subtree. Treat any non-zero value as "incomplete".

Handling Failures

The checks above need a parsed document. When parsing itself fails, UnpdfException.Kind says why, so you can branch on the reason instead of matching on Message:

try
{
    using var doc = UnpdfDocument.ParseFile("document.pdf");
    Console.WriteLine(doc.ToMarkdown());
}
catch (UnpdfException e)
{
    switch (e.Kind)
    {
        case UnpdfErrorKind.Encrypted:
            Console.WriteLine("Password required");
            break;
        case UnpdfErrorKind.Corrupted:
        case UnpdfErrorKind.PdfParse:
            Console.WriteLine("The file is damaged");
            break;
        case UnpdfErrorKind.UnknownFormat:
            Console.WriteLine("Not a PDF");
            break;
        default:
            Console.WriteLine($"Extraction failed ({e.Kind}): {e.Message}");
            break;
    }
}

UnpdfErrorKind values are part of the native ABI: new reasons take new numbers and existing ones are never renumbered, so treat an unrecognised value as a generic failure. A failure raised by the managed wrapper rather than the native library reports UnpdfErrorKind.Other.

ASP.NET Core Example

[ApiController]
[Route("api/[controller]")]
public class PdfController : ControllerBase
{
    [HttpPost("convert")]
    public async Task<IActionResult> ConvertPdf(IFormFile file)
    {
        if (file == null) return BadRequest("No file");

        // Parse straight from the uploaded bytes — no temp file needed.
        using var buffer = new MemoryStream();
        await file.CopyToAsync(buffer);

        try
        {
            using var doc = UnpdfDocument.ParseBytes(buffer.ToArray());
            var markdown = doc.ToMarkdown(new MarkdownOptions { IncludeFrontmatter = true });

            // Success is not the same as complete: report a damaged page set instead of
            // returning a short document as if it were whole.
            var quality = doc.GetExtractionQuality();
            return Ok(new
            {
                markdown,
                pages = doc.SectionCount,
                incomplete = quality.PagesIncomplete,
                declaredPages = quality.DeclaredPageCount,
            });
        }
        catch (UnpdfException ex)
        {
            return BadRequest(new { error = ex.Message, kind = ex.Kind.ToString() });
        }
    }

    [HttpPost("extract-images")]
    public async Task<IActionResult> ExtractImages(IFormFile file)
    {
        if (file == null) return BadRequest("No file");

        using var buffer = new MemoryStream();
        await file.CopyToAsync(buffer);

        try
        {
            using var doc = UnpdfDocument.ParseBytes(buffer.ToArray());
            var ids = doc.GetResourceIds();
            return Ok(new { count = ids.Length, ids });
        }
        catch (UnpdfException ex)
        {
            return BadRequest(new { error = ex.Message, kind = ex.Kind.ToString() });
        }
    }
}

Output Formats

Markdown

Structured Markdown with preserved formatting:

Headings: Document headings (detected from font size/style) -> #, ##, ###
Paragraphs: Text blocks with proper spacing
Lists: Detected ordered and unordered lists
Tables: Markdown tables (with HTML/ASCII fallback for complex layouts)
Inline styles: Bold (**), italic (*)
Hyperlinks: Preserved as Markdown links
Images: Reference-style image links

Plain Text

Pure text content without formatting markers.

JSON

Complete document structure with metadata:

{
  "metadata": {
    "title": "Document Title",
    "author": "Author Name",
    "creator": "Application Name",
    "producer": "PDF Library",
    "pdf_version": "1.7",
    "page_count": 42,
    "created": "2025-01-15T10:30:00Z",
    "modified": "2025-01-20T14:45:00Z"
  },
  "pages": [...],
  "resources": [...]
}

Supported PDF Features

Feature	Status
PDF 1.0 - 2.0	Supported
Compressed object streams (ObjStm)	Supported
Cross-reference streams (XRef streams)	Supported
Linearized PDFs	Supported
Encrypted PDFs (RC4, AES-128 — revisions 2-4)	Supported
Encrypted PDFs (AES-256 — AESV3, revisions 5-6)	Not supported — refused as `ErrorKind::UnsupportedVersion`
Text extraction	Supported
CJK text (Korean, Chinese, Japanese)	Supported (Adobe CMap)
RTL text (Arabic, Hebrew)	Supported (BiDi)
CIDFont / ToUnicode CMap decoding	Supported
Embedded TrueType font decoding	Supported
Multi-column layout detection	Supported (XY-Cut)
Table detection	Supported
Form fields (AcroForms)	Supported
Image extraction (JPEG, JP2)	Supported
Bookmarks/Outlines	Supported
Extraction quality diagnostics	Supported
AES-256 encryption (R5-R6)	Not yet supported
Digital signatures	Metadata only
OCR (image-based PDFs)	Planned

Feature Flags

Feature	Description	Default
`fast-parse`	Enable optimised nom-based PDF tokeniser	Yes
`refine`	Markdown shape-refinement pass (`RenderOptions::refine`)	Yes
`ai`	VLM image understanding and AI refine — see AI-assisted extraction. Inert without an endpoint; adds an HTTP dependency	Yes
`ffi`	C-ABI foreign function interface	No
`async`	Async I/O with Tokio	No

cargo add unpdf --features ffi,async

Performance

Custom zero-dependency PDF parser (no external C libraries)
Parallel page processing with Rayon
Memory-efficient handling of large documents
Streaming support for very large files

License

MIT License - see LICENSE for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Related Projects

unhwp - Korean HWP document extraction
undoc - Microsoft Office document extraction (DOCX, XLSX, PPTX)

unpdf-cli 0.34.0

unpdf

Features

Table of Contents

Installation

Pre-built Binaries (Recommended)

Windows (x64)

Linux (x64)

macOS

Available Binaries

Updating

Install via Cargo

CLI Usage

Quick Start

Output Structure

Commands

Convert (multi-format streaming pipeline)

Convert Options

Convert to Markdown

Markdown Options

Convert to Plain Text

Convert to JSON

AI-assisted extraction

Show Document Information

Extract Images

Self-Update

Examples

Rust Library Usage

Quick Start

Builder API

Convenience Functions

Render Options

Working with Document Structure

Page Range Selection

Handling Encrypted PDFs

Working with Form Fields

Error Handling Defaults

Classifying Failures

Rendering a Page

Detecting Incomplete Extraction

WebAssembly / JavaScript

Browser / Bundler (webpack, vite)

Node.js

With Options

API Reference

Python Integration

Basic Usage

Working with Paths and Bytes

Check PDF Validity

Detecting Scanned (Image-only) PDFs

Handling Failures

C# / .NET Integration

Installation via NuGet

Getting the Native Library (Manual)

C# Wrapper Usage

Detecting Scanned (Image-only) PDFs

Handling Failures

ASP.NET Core Example

Output Formats

Markdown

Plain Text

JSON

Supported PDF Features

Feature Flags

Performance

License

Contributing

Related Projects