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pdf-inspector/README.md
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2026-02-06 17:58:27 -08:00

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# pdf-to-markdown
Fast Rust library for PDF to Markdown conversion with smart scanned vs text-based detection.
## Features
- **Smart Detection** - Detects scanned vs text-based PDFs in ~10-50ms by sampling content streams for text operators (`Tj`/`TJ`) without loading the full document
- **Direct Extraction** - Text extraction using [lopdf](https://github.com/J-F-Liu/lopdf) with no external dependencies
- **Structure Detection** - Headers (by font size), lists, code blocks (monospace fonts)
- **CLI Tools** - `detect-pdf` and `pdf2md` binaries included
## Installation
Add to your `Cargo.toml`:
```toml
[dependencies]
pdf-to-markdown = "0.1"
```
## Usage
### Quick Start
The simplest way to convert a PDF to Markdown:
```rust
use pdf_to_markdown::process_pdf;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let result = process_pdf("document.pdf")?;
match result.pdf_type {
pdf_to_markdown::PdfType::TextBased => {
println!("Markdown:\n{}", result.markdown.unwrap());
}
pdf_to_markdown::PdfType::Scanned => {
println!("PDF is scanned - OCR required");
}
_ => {}
}
Ok(())
}
```
### PDF Type Detection
Quickly detect if a PDF is text-based or scanned without full extraction:
```rust
use pdf_to_markdown::{detect_pdf_type, PdfType};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let result = detect_pdf_type("document.pdf")?;
println!("Type: {:?}", result.pdf_type);
println!("Pages: {}", result.page_count);
println!("Confidence: {:.0}%", result.confidence * 100.0);
if let Some(title) = result.title {
println!("Title: {}", title);
}
match result.pdf_type {
PdfType::TextBased => println!("Ready for text extraction"),
PdfType::Scanned => println!("Needs OCR"),
PdfType::ImageBased => println!("Mostly images"),
PdfType::Mixed => println!("Mix of text and images"),
}
Ok(())
}
```
### Text Extraction
Extract plain text from a PDF:
```rust
use pdf_to_markdown::extract_text;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let text = extract_text("document.pdf")?;
println!("{}", text);
Ok(())
}
```
### Extract Text with Position Information
Get text items with position data for advanced processing:
```rust
use pdf_to_markdown::{extract_text_with_positions, TextItem};
use pdf_to_markdown::extractor::group_into_lines;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let items = extract_text_with_positions("document.pdf")?;
for item in &items {
println!("'{}' at ({}, {}) size={}",
item.text, item.x, item.y, item.font_size);
}
// Group items into lines
let lines = group_into_lines(items);
for line in lines {
println!("Line: {}", line.text());
}
Ok(())
}
```
### Custom Markdown Conversion
Convert text to Markdown with custom options:
```rust
use pdf_to_markdown::{to_markdown, MarkdownOptions};
fn main() {
let text = "• First item\n• Second item\n\nconst x = 5;";
// With all detection enabled (default)
let md = to_markdown(text, MarkdownOptions::default());
println!("{}", md);
// Disable code detection
let opts = MarkdownOptions {
detect_headers: true,
detect_lists: true,
detect_code: false,
base_font_size: None,
};
let md = to_markdown(text, opts);
println!("{}", md);
}
```
### Processing from Memory
All functions have memory buffer variants for processing PDFs already in memory:
```rust
use pdf_to_markdown::{process_pdf_mem, detector::detect_pdf_type_mem};
use pdf_to_markdown::extractor::{extract_text_mem, extract_text_with_positions_mem};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let buffer = std::fs::read("document.pdf")?;
// Process from memory
let result = process_pdf_mem(&buffer)?;
// Or detect only
let detection = detect_pdf_type_mem(&buffer)?;
// Or extract text
let text = extract_text_mem(&buffer)?;
Ok(())
}
```
### Custom Detection Configuration
Fine-tune the detection algorithm:
```rust
use pdf_to_markdown::detector::{detect_pdf_type_with_config, DetectionConfig};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let config = DetectionConfig {
max_pages_to_sample: 10, // Sample more pages
min_text_ops_per_page: 5, // Require more text operators
text_page_ratio_threshold: 0.8, // Stricter text classification
};
let result = detect_pdf_type_with_config("document.pdf", config)?;
println!("{:?}", result.pdf_type);
Ok(())
}
```
## CLI Tools
### pdf2md
Convert a PDF to Markdown:
```bash
# Output to stdout
pdf2md document.pdf
# Output to file
pdf2md document.pdf output.md
# JSON output with metadata
pdf2md document.pdf --json
```
### detect-pdf
Detect PDF type without conversion:
```bash
# Human-readable output
detect-pdf document.pdf
# JSON output
detect-pdf document.pdf --json
```
## How Detection Works
Instead of loading the entire PDF, we:
1. Load only metadata (xref table, trailer, page count)
2. Sample first ~5 pages' content streams
3. Scan raw bytes for `Tj`/`TJ` (text) and `Do` (image) operators
4. Classify based on text operator presence
This allows detecting 300+ page PDFs in milliseconds.
## API Reference
### Types
| Type | Description |
|------|-------------|
| `PdfType` | Enum: `TextBased`, `Scanned`, `ImageBased`, `Mixed` |
| `PdfProcessResult` | Full processing result with text, markdown, and metadata |
| `PdfTypeResult` | Detection result with type, confidence, and page count |
| `TextItem` | Text with position (x, y), font info, and page number |
| `TextLine` | Group of `TextItem`s on the same line |
| `MarkdownOptions` | Configuration for markdown conversion |
| `DetectionConfig` | Configuration for PDF type detection |
| `PdfError` | Error type: `Io`, `Parse`, `Encrypted`, `InvalidStructure` |
### Functions
| Function | Description |
|----------|-------------|
| `process_pdf(path)` | High-level: detect, extract, and convert |
| `process_pdf_mem(buffer)` | Same as above, from memory |
| `detect_pdf_type(path)` | Fast type detection |
| `detect_pdf_type_mem(buffer)` | Type detection from memory |
| `extract_text(path)` | Extract plain text |
| `extract_text_mem(buffer)` | Extract text from memory |
| `extract_text_with_positions(path)` | Extract text with coordinates |
| `to_markdown(text, options)` | Convert text to markdown |
## License
MIT