Easily extract text from digital PDF and Scanned PDF files with coordinate and font size included, and optionally group text by lines.
⚠️ Warning: Version 3 uses mupdf for better support in non-browser environment. While version 2 uses pdfjs and focuses only on extraction in digital pdf, you can still uses it here: https://www.npmjs.com/package/ppu-pdf-headless
- Text Extraction: Retrieve all text content from a PDF.
- Coordinate Data: Get precise bounding box and dimension information for each text element.
- Line Grouping: Merge individual text tokens into coherent lines.
- Scanned PDF Detection: Determine if a PDF appears to be scanned or digitally generated.
- Support for PDF Scan via Tesseract OCR is underway
Using Bun is recommended
Install the package via npm:
npm install ppu-pdf
Or using Yarn:
yarn add ppu-pdf
Bun:
bun add ppu-pdf
Below is an example of how to use the library with Bun:
import { PdfReader } from "ppu-pdf";
const pdfReader = new PdfReader({ verbose: false });
const file = Bun.file("./src/assets/opposite-expectation.pdf");
const buffer = await file.arrayBuffer();
const pdf = pdfReader.open(buffer);
// remember it's a map
const texts = await pdfReader.getTexts(pdf);
const page0texts = texts.get(0);
console.log("texts: ", page0texts);
pdfReader.destroy(pdf);
const isScanned = pdfReader.isScanned(texts);
console.log("is pdf scanned: ", isScanned);
Configuration options for PdfReader
, allowing customization of PDF text extraction behavior.
Option | Type | Default Value | Description |
---|---|---|---|
verbose |
boolean |
false |
Enables logging for debugging purposes. |
excludeFooter |
boolean |
true |
Excludes detected footer text from the extracted content. |
excludeHeader |
boolean |
true |
Excludes detected header text from the extracted content. |
raw |
boolean |
false |
If true , returns raw text without additional processing. |
headerFromHeightPercentage |
number |
0.02 |
Defines the height percentage from the top used to identify header text. |
footerFromHeightPercentage |
number |
0.95 |
Defines the height percentage from the bottom used to identify footer text. |
mergeCloseTextNeighbor |
boolean |
true |
Merges text elements that are close to each other into a single entity. |
simpleSortAlgorithm |
boolean |
false |
Uses a simplified sorting algorithm for text positioning. |
scale |
number |
1 |
The pdf document scale |
const reader = new PdfReader({ verbose: true, excludeFooter: false });
These options allow fine-tuned control over how text is extracted and processed from PDFs.
Creates an instance of PdfReader
.
- Parameters:
options
(optional): Partial options to override the defaults. Refer to thePdfReaderOptions
interface for available options.
Opens a PDF document.
-
Parameters:
filename
: The path to the PDF file or anArrayBuffer
containing the PDF data.
-
Returns: A promise that resolves with the
PDFDocumentProxy
.
Extracts the text content from the PDF document.
-
Parameters:
pdf
: ThePDFDocumentProxy
instance.
-
Returns: A promise that resolves with a
Map
of page numbers to their correspondingPdfTexts
.
Sample return:
// Map (1) starting index from 0
{
"0": {
"words": [
{
"text": "Opposite Expectation: How to See the World as Two-Sided",
"bbox": {
"x0": 72,
"y0": 84,
"x1": 464,
"y1": 99
},
"dimension": {
"width": 392,
"height": 15
},
"metadata": {
"writing": "horizontal",
"font": {
"name": "AAAAAA+Arial-BoldItalicMT",
"family": "sans-serif",
"weight": "bold",
"style": "italic",
"size": 14
},
"pageNum": 0
},
"id": 0
}
]
}
}
Retrieves line information from the page texts.
-
Parameters:
pageTexts
: AMap
of page numbers to their correspondingPdfTexts
.
-
Returns: A
Map
of page numbers to an array ofPdfLine
objects.
Sample return:
// Map (1) starting index from 0
{
"0": [
{
"bbox": {
"x0": 72,
"y0": 84,
"x1": 464,
"y1": 99
},
"averageFontSize": 14,
"dimension": {
"width": 392,
"height": 15
},
"words": [
{
"text": "Opposite Expectation: How to See the World as Two-Sided",
"bbox": {
"x0": 72,
"y0": 84,
"x1": 464,
"y1": 99
},
"dimension": {
"width": 392,
"height": 15
},
"metadata": {
"writing": "horizontal",
"font": {
"name": "AAAAAA+Arial-BoldItalicMT",
"family": "sans-serif",
"weight": "bold",
"style": "italic",
"size": 14
},
"pageNum": 0
},
"id": 0
}
],
"text": "Opposite Expectation: How to See the World as Two-Sided"
}
]
}
Method: getCompactLinesFromTexts(pageTexts: PageTexts, algorithm: PdfCompactLineAlgorithm = "middleY"): CompactPageLines
Retrieves a compact representation of line information from the page texts using the specified algorithm.
-
Parameters:
pageTexts
: AMap
of page numbers to their correspondingPdfTexts
.algorithm
: An optionalPdfCompactLineAlgorithm
specifying the method for grouping lines. Defaults tomiddleY
.
-
Returns: A
Map
of page numbers to an array ofCompactPdfLine
objects, where the line extraction method depends on the chosen algorithm.
Sample return:
// Map (1) starting index from 0
{
"0": [
{
"bbox": {
"x0": 72,
"y0": 83.13183584999996,
"x1": 461.4900053795799,
"y1": 97.13183534999996
},
"words": [
{
"text": "Opposite Expectation: How to See the World as Two-Sided",
"bbox": {
"x0": 72,
"y0": 83.13183584999996,
"x1": 461.4900053795799,
"y1": 97.13183534999996
}
}
],
"text": "Opposite Expectation: How to See the World as Two-Sided"
}
]
}
Determines whether the PDF appears to be a scanned document.
-
Parameters:
pageTexts
: AMap
of page numbers to their correspondingPdfTexts
.options
(optional): Thresholds for scanned detection. Defaults toCONSTANT.WORDS_PER_PAGE_THRESHOLD
andCONSTANT.TEXT_LENGTH_THRESHOLD
.
-
Returns:
true
if the PDF is considered scanned; otherwise,false
.
Contributions are welcome! If you would like to contribute, please follow these steps:
- Fork the Repository: Create your own fork of the project.
- Create a Feature Branch: Use a descriptive branch name for your changes.
- Implement Changes: Make your modifications, add tests, and ensure everything passes.
- Submit a Pull Request: Open a pull request to discuss your changes and get feedback.
This project uses Bun for testing. To run the tests locally, execute:
bun test
Ensure that all tests pass before submitting your pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
If you encounter any issues or have suggestions, please open an issue in the repository.
Happy coding!
Recommended development environment is in linux-based environment. Library template: https://github.com/aquapi/lib-template
All script sources and usage.
Emit .js
and .d.ts
files to lib
.
Move package.json
, README.md
to lib
and publish the package.
Run files that ends with .bench.ts
extension.
To run a specific file.
bun bench index # Run bench/index.bench.ts
To run the benchmark in node
, add a --node
parameter
bun bench --node
bun bench --node index # Run bench/index.bench.ts with node