pdfreader - npm Package Compare versions

Comparing version 0.1.5 to 0.2.0

package.json

		{
		"name": "pdfreader",
		"version": "0.1.5",
		"version": "0.2.0",
		"description": "Utility for simplifying the development of scripted / rule-based parsing of PDF files, including tabular data (tables, with automatic column detection).",
		@@ -5,0 +5,0 @@ "main": "index.js",

README.md

		@@ -38,4 +38,80 @@ # pdfreader

		Other example of use: [parsing a CV/résumé](https://github.com/adrienjoly/npm-pdfreader-example)
		## Example: parsing lines of text from a PDF file

		![example cv resume parse convert pdf to text](https://github.com/adrienjoly/npm-pdfreader-example/raw/master/parseRows.png)

		Here is the code required to convert this PDF file into text:

		```js
		var pdfreader = require('pdfreader');

		var rows = {}; // indexed by y-position

		function printRows() {
		Object.keys(rows) // => array of y-positions (type: float)
		.sort((y1, y2) => parseFloat(y1) - parseFloat(y2)) // sort float positions
		.forEach((y) => console.log((rows[y] \|\| []).join('')));
		}

		new pdfreader.PdfReader().parseFileItems('CV_ErhanYasar.pdf', function(err, item){
		if (!item \|\| item.page) {
		// end of file, or page
		printRows();
		console.log('PAGE:', item.page);
		rows = {}; // clear rows for next page
		}
		else if (item.text) {
		// accumulate text items into rows object, per line
		(rows[item.y] = rows[item.y] \|\| []).push(item.text);
		}
		});
		```

		Fork this example from [parsing a CV/résumé](https://github.com/adrienjoly/npm-pdfreader-example).

		## Example: parsing a table from a PDF file

		![example cv resume parse convert pdf table to text](https://github.com/adrienjoly/npm-pdfreader-example/raw/master/parseTable.png)

		Here is the code required to convert this PDF file into a textual table:

		```js
		var pdfreader = require('pdfreader');

		const nbCols = 2;
		const cellPadding = 40; // each cell is padded to fit 40 characters
		const columnQuantitizer = (item) => parseFloat(item.x) >= 20;

		const padColumns = (array, nb) =>
		Array.apply(null, {length: nb}).map((val, i) => array[i] \|\| []);
		// .. because map() skips undefined elements

		const mergeCells = (cells) => (cells \|\| [])
		.map((cell) => cell.text).join('') // merge cells
		.substr(0, cellPadding).padEnd(cellPadding, ' '); // padding

		const renderMatrix = (matrix) => (matrix \|\| [])
		.map((row, y) => padColumns(row, nbCols)
		.map(mergeCells)
		.join(' \| ')
		).join('\n');

		var table = new pdfreader.TableParser();

		new pdfreader.PdfReader().parseFileItems(filename, function(err, item){
		if (!item \|\| item.page) {
		// end of file, or page
		console.log(renderMatrix(table.getMatrix()));
		console.log('PAGE:', item.page);
		table = new pdfreader.TableParser(); // new/clear table for next page
		} else if (item.text) {
		// accumulate text items into rows object, per line
		table.processItem(item, columnQuantitizer(item));
		}
		});
		```

		Fork this example from [parsing a CV/résumé](https://github.com/adrienjoly/npm-pdfreader-example).


		## Rule-based data extraction
		@@ -42,0 +118,0 @@

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