pages-converter.json

{
  "base64Decoder-examples": {
    "example-1": "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",
    "example-2": "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"
  },
  "base64Decoder-heading": "Online Base64 Decoder",
  "base64Decoder-input-label": "Paste or type text here to decode it",
  "base64Decoder-intro": "Base64 encoding is designed to carry binary data across channels that only reliably support text content. Enter a Base64 string below to decode it into its original form, or <0>load an example</0>.",
  "base64Encoder-examples": {
    "example-1": "[\n  {\n    \"Age\": \"29\",\n    \"Movie\": \"Black Swan\",\n    \"Name\": \"Natalie Portman\",\n    \"Year\": \"2011\"\n  },\n  {\n    \"Age\": \"62\",\n    \"Movie\": \"The Iron Lady\",\n    \"Name\": \"Meryl Streep\",\n    \"Year\": \"2012\"\n  },\n  {\n    \"Age\": \"22\",\n    \"Movie\": \"Silver Linings Playbook\",\n    \"Name\": \"Jennifer Lawrence\",\n    \"Year\": \"2013\"\n  },\n  {\n    \"Age\": \"44\",\n    \"Movie\": \"Blue Jasmine\",\n    \"Name\": \"Cate Blanchett\",\n    \"Year\": \"2014\"\n  },\n  {\n    \"Age\": \"54\",\n    \"Movie\": \"Still Alice\",\n    \"Name\": \"Julianne Moore\",\n    \"Year\": \"2015\"\n  },\n  {\n    \"Age\": \"26\",\n    \"Movie\": \"Room\",\n    \"Name\": \"Brie Larson\",\n    \"Year\": \"2016\"\n  }\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "base64Encoder-heading": "Online Base64 Encoder",
  "base64Encoder-input-label": "Paste or type text here to encode it",
  "base64Encoder-intro": "Base64 encoding is designed to carry binary data across channels that only reliably support text content. Enter some text below to base64-encode it, or <0>load an example</0>.",
  "cssFormatter-examples": {
    "example-1": "h1 { color: #333; } a { font-style: italic; }",
    "example-2": "p { font-size: 120%; color: dimgray; } p.smallcaps { font-variant: small-caps; } "
  },
  "cssFormatter-heading": "Online CSS Formatter",
  "cssFormatter-input-label": "Paste or type CSS here to format it",
  "cssFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated CSS (Cascading Style Sheet) code, with customizable indentation, line length, and syntax highlighting. Enter some CSS below to format it, or <0>load an example</0>.",
  "csvFormatter-examples": {
    "example-1": "Year,Age,Name,Movie\n2011,29,Natalie Portman,Black Swan\n2012,62,Meryl Streep,The Iron Lady\n2013,22,Jennifer Lawrence,Silver Linings Playbook\n2014,44,Cate Blanchett,Blue Jasmine\n2015,54,Julianne Moore,Still Alice\n2016,26,Brie Larson,Room",
    "example-2": "Country,Region,SurfaceArea,Population,PopulationDensity,GdpPerCapita,Unemployment\nAustralia,Oceania,7692060,24451000,3.2,51352.2,5.5\nJapan,Eastern Asia,377930,127484000,349.7,34628.7,3.0\nNew Zealand,Oceania,268107,4706000,17.9,38294.3,5.5\nUnited Kingdom,Northern Europe,242495,66182000,273.6,44162.4,5.0"
  },
  "csvFormatter-heading": "Online CSV Formatter",
  "csvFormatter-input-label": "Paste or type CSV data here to format it",
  "csvFormatter-intro": "CSV (comma-separated values) is a common flat-file format that uses commas as a separator between values. Enter some CSV data below to format it, or <0>load an example</0>.",
  "csvToJsonConverter-examples": {
    "example-1": "Year,Age,Name,Movie\n2011,29,Natalie Portman,Black Swan\n2012,62,Meryl Streep,The Iron Lady\n2013,22,Jennifer Lawrence,Silver Linings Playbook\n2014,44,Cate Blanchett,Blue Jasmine\n2015,54,Julianne Moore,Still Alice\n2016,26,Brie Larson,Room",
    "example-2": "Country,Region,SurfaceArea,Population,PopulationDensity,GdpPerCapita,Unemployment\nAustralia,Oceania,7692060,24451000,3.2,51352.2,5.5\nJapan,Eastern Asia,377930,127484000,349.7,34628.7,3.0\nNew Zealand,Oceania,268107,4706000,17.9,38294.3,5.5\nUnited Kingdom,Northern Europe,242495,66182000,273.6,44162.4,5.0"
  },
  "csvToJsonConverter-heading": "Online CSV to JSON Converter",
  "csvToJsonConverter-input-label": "Paste or type CSV data here to convert it",
  "csvToJsonConverter-intro": "CSV (comma-separated values) is a common flat-file format that uses commas as a separator between values. Enter some CSV data below to convert it to JSON format, or <0>load an example</0>.",
  "csvToXmlConverter-examples": {
    "example-1": "Year,Age,Name,Movie\n2011,29,Natalie Portman,Black Swan\n2012,62,Meryl Streep,The Iron Lady\n2013,22,Jennifer Lawrence,Silver Linings Playbook\n2014,44,Cate Blanchett,Blue Jasmine\n2015,54,Julianne Moore,Still Alice\n2016,26,Brie Larson,Room",
    "example-2": "Country,Region,SurfaceArea,Population,PopulationDensity,GdpPerCapita,Unemployment\nAustralia,Oceania,7692060,24451000,3.2,51352.2,5.5\nJapan,Eastern Asia,377930,127484000,349.7,34628.7,3.0\nNew Zealand,Oceania,268107,4706000,17.9,38294.3,5.5\nUnited Kingdom,Northern Europe,242495,66182000,273.6,44162.4,5.0"
  },
  "csvToXmlConverter-heading": "Online CSV to XML Converter",
  "csvToXmlConverter-input-label": "Paste or type CSV data here to convert it",
  "csvToXmlConverter-intro": "CSV (comma-separated values) is a common flat-file format that uses commas as a separator between values. Enter some CSV data below to convert it to XML format, or <0>load an example</0>.",
  "csvToYamlConverter-examples": {
    "example-1": "Year,Age,Name,Movie\n2011,29,Natalie Portman,Black Swan\n2012,62,Meryl Streep,The Iron Lady\n2013,22,Jennifer Lawrence,Silver Linings Playbook\n2014,44,Cate Blanchett,Blue Jasmine\n2015,54,Julianne Moore,Still Alice\n2016,26,Brie Larson,Room",
    "example-2": "Country,Region,SurfaceArea,Population,PopulationDensity,GdpPerCapita,Unemployment\nAustralia,Oceania,7692060,24451000,3.2,51352.2,5.5\nJapan,Eastern Asia,377930,127484000,349.7,34628.7,3.0\nNew Zealand,Oceania,268107,4706000,17.9,38294.3,5.5\nUnited Kingdom,Northern Europe,242495,66182000,273.6,44162.4,5.0"
  },
  "csvToYamlConverter-heading": "Online CSV to YAML Converter",
  "csvToYamlConverter-input-label": "Paste or type CSV data here to convert it",
  "csvToYamlConverter-intro": "CSV (comma-separated values) is a common flat-file format that uses commas as a separator between values. Enter some CSV data below to convert it to YAML format, or <0>load an example</0>.",
  "diffCompare-examples": {
    "example-1": "http.createServer(function (req, res) {\n  res.writeHead(200, {'Content-Type': 'text/plain'});\n  res.end('Hello World!');\n}).listen(8080);\n"
  },
  "diffCompare-heading": "Online Diff Compare",
  "diffCompare-input-label": "Enter the first string to compare here",
  "diffCompare-intro": "Compare text to find the difference between two strings. Enter some text data below to compare it, or <0>load an example</0>.",
  "htmlFormatter-examples": {
    "example-1": "<!DOCTYPE html>\n<html>\n<body>\n\n<h1>This is a heading</h1>\n\n<p>This text is normal.</p>\n\n<p><b>This text is bold.</b></p>\n\n</body>\n</html>",
    "example-2": "<!DOCTYPE html>\n<html>\n\n<head>\n  <title>Name of the website</title>\n</head>\n\n<body>\n  <h1>Heading for the content below</h1>\n  <p>Text text text</p>\n</body>\n\n</html>"
  },
  "htmlFormatter-heading": "Online HTML Formatter",
  "htmlFormatter-input-label": "Paste or type HTML here to format it",
  "htmlFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated HTML markup, with customizable indentation, line length, and syntax highlighting. Enter some HTML below to format it, or <0>load an example</0>.",
  "javaScriptFormatter-examples": {
    "example-1": "var number = parseInt(prompt(\"Enter a number: \"))\nif (number > 0) { console.log(\"The number is positive\") }\nelse if (number === 0) { console.log(\"The number is zero\") }\nelse { console.log(\"The number is negative\") }",
    "example-2": "var http = require('http');\n\nhttp.createServer(function (req, res) {\n  res.writeHead(200, {'Content-Type': 'text/plain'});\n  res.end('Hello World!');\n}).listen(8080);"
  },
  "javaScriptFormatter-heading": "Online JavaScript Formatter",
  "javaScriptFormatter-input-label": "Paste or type JavaScript here to format it",
  "javaScriptFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated JavaScript code, with customizable indentation, line length, and syntax highlighting. Enter some JavaScript below to format it, or <0>load an example</0>.",
  "javaScriptMinifier-examples": {
    "example-1": "var number = parseInt(prompt(\"Enter a number: \"))\nif (number > 0) { console.log(\"The number is positive\") }\nelse if (number === 0) { console.log(\"The number is zero\") }\nelse { console.log(\"The number is negative\") }",
    "example-2": "var http = require('http');\n\nhttp.createServer(function (req, res) {\n  res.writeHead(200, {'Content-Type': 'text/plain'});\n  res.end('Hello World!');\n}).listen(8080);"
  },
  "javaScriptMinifier-heading": "Online JavaScript Minifier",
  "javaScriptMinifier-input-label": "Paste or type JavaScript here to minify it",
  "javaScriptMinifier-intro": "Enter some JavaScript below to minify it, or <0>load an example</0>.",
  "jsonFormatter-examples": {
    "example-1": "[\n  {\"Year\":\"2011\",\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  {\"Year\":\"2012\",\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  {\"Year\":\"2013\",\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  {\"Year\":\"2014\",\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  {\"Year\":\"2015\",\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  {\"Year\":\"2016\",\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "jsonFormatter-heading": "Online JSON Formatter",
  "jsonFormatter-input-label": "Paste or type JSON here to format it",
  "jsonFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated JSON data, with customizable indentation, key sorting, and syntax highlighting. Enter some JSON data below to format it, or <0>load an example</0>.",
  "jsonToCsvConverter-examples": {
    "example-1": "[\n  {\"Year\":\"2011\",\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  {\"Year\":\"2012\",\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  {\"Year\":\"2013\",\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  {\"Year\":\"2014\",\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  {\"Year\":\"2015\",\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  {\"Year\":\"2016\",\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "jsonToCsvConverter-heading": "Online JSON to CSV Converter",
  "jsonToCsvConverter-input-label": "Paste or type JSON here to convert it",
  "jsonToCsvConverter-intro": "Convert your messy, minified, or obfuscated JSON data to CSV (comma-separated values) format, with optional quotes and headings. Enter some JSON data below to convert it, or <0>load an example</0>.",
  "jsonToJavaScriptConverter-examples": {
    "example-1": "[\n  {\"Year\":\"2011\",\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  {\"Year\":\"2012\",\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  {\"Year\":\"2013\",\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  {\"Year\":\"2014\",\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  {\"Year\":\"2015\",\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  {\"Year\":\"2016\",\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "jsonToJavaScriptConverter-heading": "Online JSON to JavaScript Converter",
  "jsonToJavaScriptConverter-input-label": "Paste or type JSON here to convert it",
  "jsonToJavaScriptConverter-intro": "Convert your messy, minified, or obfuscated JSON data to valid JavaScript code, with customizable indentation, line length, and syntax highlighting. Enter some JSON data below to convert it, or <0>load an example</0>.",
  "jsonToTomlConverter-examples": {
    "example-1": "{\n  \"2011\":{\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  \"2012\":{\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  \"2013\":{\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  \"2014\":{\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  \"2015\":{\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  \"2016\":{\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n}",
    "example-2": "{\n  \"Australia\":{\"Region\":\"Oceania\",\"SurfaceArea\":7692060,\"Population\":24451000,\"PopulationDensity\":3.2,\"GdpPerCapita\":51352.2,\"Unemployment\":5.5},\n  \"Japan\":{\"Region\":\"Eastern Asia\",\"SurfaceArea\":377930,\"Population\":127484000,\"PopulationDensity\":349.7,\"GdpPerCapita\":34628.7,\"Unemployment\":3},\n  \"New Zealand\":{\"Region\":\"Oceania\",\"SurfaceArea\":268107,\"Population\":4706000,\"PopulationDensity\":17.9,\"GdpPerCapita\":38294.3,\"Unemployment\":5.5},\n  \"United Kingdom\":{\"Region\":\"Northern Europe\",\"SurfaceArea\":242495,\"Population\":66182000,\"PopulationDensity\":273.6,\"GdpPerCapita\":44162.4,\"Unemployment\":5}\n}"
  },
  "jsonToTomlConverter-heading": "Online JSON to TOML Converter",
  "jsonToTomlConverter-input-label": "Paste or type JSON here to convert it",
  "jsonToTomlConverter-intro": "Convert your messy, minified, or obfuscated JSON data to TOML markup, with customizable key sorting and syntax highlighting. Enter some JSON data below to convert it, or <0>load an example</0>.",
  "jsonToXmlConverter-examples": {
    "example-1": "[\n  {\"Year\":\"2011\",\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  {\"Year\":\"2012\",\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  {\"Year\":\"2013\",\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  {\"Year\":\"2014\",\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  {\"Year\":\"2015\",\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  {\"Year\":\"2016\",\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "jsonToXmlConverter-heading": "Online JSON to XML Converter",
  "jsonToXmlConverter-input-label": "Paste or type JSON here to convert it",
  "jsonToXmlConverter-intro": "Convert your messy, minified, or obfuscated JSON data to XML markup, with customizable indentation, line length, and syntax highlighting. Enter some JSON data below to convert it, or <0>load an example</0>.",
  "jsonToYamlConverter-examples": {
    "example-1": "[\n  {\"Year\":\"2011\",\"Age\":\"29\",\"Name\":\"Natalie Portman\",\"Movie\":\"Black Swan\"},\n  {\"Year\":\"2012\",\"Age\":\"62\",\"Name\":\"Meryl Streep\",\"Movie\":\"The Iron Lady\"},\n  {\"Year\":\"2013\",\"Age\":\"22\",\"Name\":\"Jennifer Lawrence\",\"Movie\":\"Silver Linings Playbook\"},\n  {\"Year\":\"2014\",\"Age\":\"44\",\"Name\":\"Cate Blanchett\",\"Movie\":\"Blue Jasmine\"},\n  {\"Year\":\"2015\",\"Age\":\"54\",\"Name\":\"Julianne Moore\",\"Movie\":\"Still Alice\"},\n  {\"Year\":\"2016\",\"Age\":\"26\",\"Name\":\"Brie Larson\",\"Movie\":\"Room\"}\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "jsonToYamlConverter-heading": "Online JSON to YAML Converter",
  "jsonToYamlConverter-input-label": "Paste or type JSON here to convert it",
  "jsonToYamlConverter-intro": "Convert your messy, minified, or obfuscated JSON data to YAML markup, with customizable indentation, key sorting, and syntax highlighting. Enter some JSON data below to convert it, or <0>load an example</0>.",
  "jwtDecoder-examples": {
    "example-1": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c",
    "example-2": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIyMzQ1Njc4OTAxIiwibmFtZSI6IkphbmUgRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.pQEB-NgjAQzcf8inOOX4_Mu6feqDmZCvwSqdyRlUTpg"
  },
  "jwtDecoder-heading": "Online JWT Decoder",
  "jwtDecoder-input-label": "Paste a JWT token here to decode it",
  "jwtDecoder-intro": "A JWT (JSON Web Token) is a JSON object that is digitally signed, providing a compact way of authenticating requests. Enter a JWT below to decode its header and payload, or <0>load an example</0>.",
  "lessFormatter-examples": {
    "example-1": "@width: 10px;\n@height: @width + 10px;\n.bordered { border-top: dotted 1px black; border-bottom: solid 2px black; }\n#menu a { width: @width; height: @height; color: #111; .bordered(); }\n.post a { color: red; .bordered(); }",
    "example-2": "@color-orange: #ff9900;\n@color-graylight: #cccccc;\n@color-blackdark: #333333;\n@color-blackmedium: #454545;\nbody { background: @color-blackdark; color: @color-blackmedium; }\n.concrete { color: @color-orange; }\nh1, h2 { color: @color-blackdark; }"
  },
  "lessFormatter-heading": "Online LESS Formatter",
  "lessFormatter-input-label": "Paste or type LESS here to format it",
  "lessFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated LESS (Leaner Style Sheets) code, with customizable indentation, line length, and syntax highlighting. Enter some LESS below to format it, or <0>load an example</0>.",
  "lowerCaseConverter-examples": {
    "example-1": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair.",
    "example-2": "\"From now on I'm thinking only of me.\"\n\nMajor Danby replied indulgently with a superior smile: \"But, Yossarian, suppose everyone felt that way.\"\n\n\"Then,\" said Yossarian, \"I'd certainly be a damned fool to feel any other way, wouldn't I?\""
  },
  "lowerCaseConverter-heading": "Online Lower-Case Converter",
  "lowerCaseConverter-input-label": "Paste or type text here to convert it",
  "lowerCaseConverter-intro": "Enter some mixed-case text below to convert it to lower-case, or <0>load an example</0>.",
  "markdownFormatter-examples": {
    "example-1": "## Emphasis\n\n**This is bold text**\n\n__This is bold text__\n\n*This is italic text*\n\n_This is italic text_\n\n~~Strikethrough~~\n\n\n## Blockquotes\n\n\n> Blockquotes can also be nested...\n>> ...by using additional greater-than signs right next to each other...\n> > > ...or with spaces between arrows.",
    "example-2": "## Lists\n\nUnordered\n\n+ Create a list by starting a line with `+`, `-`, or `*`\n+ Sub-lists are made by indenting 2 spaces:\n  - Marker character change forces new list start:\n    * Ac tristique libero volutpat at\n    + Facilisis in pretium nisl aliquet\n    - Nulla volutpat aliquam velit\n+ Very easy!\n\nOrdered\n\n1. Lorem ipsum dolor sit amet\n2. Consectetur adipiscing elit\n3. Integer molestie lorem at massa\n\n\n1. You can use sequential numbers...\n1. ...or keep all the numbers as `1.`"
  },
  "markdownFormatter-heading": "Online Markdown Formatter",
  "markdownFormatter-input-label": "Paste or type Markdown here to format it",
  "markdownFormatter-intro": "Clean up and beautify your messy Markdown code, with customizable indentation and syntax highlighting. Enter some Markdown below to format it, or <0>load an example</0>.",
  "markdownToHtmlConverter-examples": {
    "example-1": "## Emphasis\n\n**This is bold text**\n\n__This is bold text__\n\n*This is italic text*\n\n_This is italic text_\n\n~~Strikethrough~~\n\n\n## Blockquotes\n\n\n> Blockquotes can also be nested...\n>> ...by using additional greater-than signs right next to each other...\n> > > ...or with spaces between arrows.",
    "example-2": "## Lists\n\nUnordered\n\n+ Create a list by starting a line with `+`, `-`, or `*`\n+ Sub-lists are made by indenting 2 spaces:\n  - Marker character change forces new list start:\n    * Ac tristique libero volutpat at\n    + Facilisis in pretium nisl aliquet\n    - Nulla volutpat aliquam velit\n+ Very easy!\n\nOrdered\n\n1. Lorem ipsum dolor sit amet\n2. Consectetur adipiscing elit\n3. Integer molestie lorem at massa\n\n\n1. You can use sequential numbers...\n1. ...or keep all the numbers as `1.`"
  },
  "markdownToHtmlConverter-heading": "Online Markdown to HTML Converter",
  "markdownToHtmlConverter-input-label": "Paste or type Markdown here to convert it",
  "markdownToHtmlConverter-intro": "Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Enter some Markdown below to convert it to beautified HTML, or <0>load an example</0>.",
  "md5Encoder-examples": {
    "example-1": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair.",
    "example-2": "\"From now on I'm thinking only of me.\"\n\nMajor Danby replied indulgently with a superior smile: \"But, Yossarian, suppose everyone felt that way.\"\n\n\"Then,\" said Yossarian, \"I'd certainly be a damned fool to feel any other way, wouldn't I?\""
  },
  "md5Encoder-heading": "Online MD5 Hash Generator",
  "md5Encoder-input-label": "Paste or type text here to hash it",
  "md5Encoder-intro": "MD5 is a cryptographic hash function which is widely used as a checksum to verify data integrity. Enter some text below to generate an MD5 hash, or <0>load an example</0>.",
  "nullConverter-examples": {
    "example-1": "random"
  },
  "nullConverter-heading": "Online Developer Toolkit",
  "nullConverter-input-label": "Paste or type text here to convert it",
  "nullConverter-intro": "An open-source, privacy-friendly online string toolkit for developers, providing a collection of {{numConverters}} converters and formatters. Enter a string below to convert it, or <0>load an example</0>.",
  "numberBaseConverter-examples": {
    "example-1": "2002020010210",
    "example-2": "12,00a"
  },
  "numberBaseConverter-heading": "Online Number Base Converter",
  "numberBaseConverter-input-label": "Paste or type a number here to convert it",
  "numberBaseConverter-intro": "The base (or radix) is the number of unique digits, including the digit zero, used to represent a number. Enter a number in any base below to convert it to another base, or <0>load an example</0>.",
  "queryStringToJsonConverter-examples": {
    "example-1": "https://string.is/?page=1&sortOrder=newest&sortDirection=desc&perPage=20",
    "example-2": "https://duckduckgo.com/?q=css+formatter&t=h_&ia=web"
  },
  "queryStringToJsonConverter-heading": "Online Query String to JSON Converter",
  "queryStringToJsonConverter-input-label": "Paste or type a URL here to convert it",
  "queryStringToJsonConverter-intro": "A query string is the portion of a URL where key/value data is passed to the destination page. Enter a URL below below to convert its query parameters to JSON format, or <0>load an example</0>.",
  "queryStringToTomlConverter-examples": {
    "example-1": "https://string.is/?page=1&sortOrder=newest&sortDirection=desc&perPage=20",
    "example-2": "https://duckduckgo.com/?q=css+formatter&t=h_&ia=web"
  },
  "queryStringToTomlConverter-heading": "Online Query String to TOML Converter",
  "queryStringToTomlConverter-input-label": "Paste or type a URL here to convert it",
  "queryStringToTomlConverter-intro": "A query string is the portion of a URL where key/value data is passed to the destination page. Enter a URL below below to convert its query parameters to TOML format, or <0>load an example</0>.",
  "queryStringToYamlConverter-examples": {
    "example-1": "https://string.is/?page=1&sortOrder=newest&sortDirection=desc&perPage=20",
    "example-2": "https://duckduckgo.com/?q=css+formatter&t=h_&ia=web"
  },
  "queryStringToYamlConverter-heading": "Online Query String to YAML Converter",
  "queryStringToYamlConverter-input-label": "Paste or type a URL here to convert it",
  "queryStringToYamlConverter-intro": "A query string is the portion of a URL where key/value data is passed to the destination page. Enter a URL below below to convert its query parameters to YAML format, or <0>load an example</0>.",
  "regexDebugger-examples": {
    "example-1": "/(quick|early) \\w+/g"
  },
  "regexDebugger-heading": "Online Regular Expression Debugger",
  "regexDebugger-input-label": "Paste or type a regex here to debug it",
  "regexDebugger-intro": "An online regular expression debugger with support for multiple lines and groups. Enter a regular expression below, or <0>load an example</0>.",
  "ripemdEncoder-examples": {
    "example-1": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair.",
    "example-2": "\"From now on I'm thinking only of me.\"\n\nMajor Danby replied indulgently with a superior smile: \"But, Yossarian, suppose everyone felt that way.\"\n\n\"Then,\" said Yossarian, \"I'd certainly be a damned fool to feel any other way, wouldn't I?\""
  },
  "ripemdEncoder-heading": "Online RIPEMD-160 Hash Generator",
  "ripemdEncoder-input-label": "Paste or type text here to hash it",
  "ripemdEncoder-intro": "RIPEMD-160 is a cryptographic hash function commonly used in Bitcoin, and other cryptocurrencies based on Bitcoin. Enter some text below to generate a RIPEMD-160 hash, or <0>load an example</0>.",
  "scssFormatter-examples": {
    "example-1": "nav {\n  ul { margin: 0; padding: 0; list-style: none; }\n  li { display: inline-block; }\n  a { display: block; padding: 6px 12px; text-decoration: none; }\n}",
    "example-2": "@mixin theme($theme: DarkGray) {\n  background: $theme;\n  box-shadow: 0 0 1px rgba($theme, .25);\n  color: #fff;\n}\n.info { @include theme; }\n.alert { @include theme($theme: DarkRed); }\n.success { @include theme($theme: DarkGreen); }"
  },
  "scssFormatter-heading": "Online SCSS Formatter",
  "scssFormatter-input-label": "Paste or type SCSS here to format it",
  "scssFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated SCSS (Syntactically Awesome Style Sheets) code, with customizable indentation, line length, and syntax highlighting. Enter some SCSS below to format it, or <0>load an example</0>.",
  "shaEncoder-examples": {
    "example-1": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair.",
    "example-2": "\"From now on I'm thinking only of me.\"\n\nMajor Danby replied indulgently with a superior smile: \"But, Yossarian, suppose everyone felt that way.\"\n\n\"Then,\" said Yossarian, \"I'd certainly be a damned fool to feel any other way, wouldn't I?\""
  },
  "shaEncoder-heading": "Online SHA Hash Generator",
  "shaEncoder-input-label": "Paste or type text here to hash it",
  "shaEncoder-intro": "SHA (secure hashing algorithm) is a family of cryptographic hash functions which are widely used as a checksum to verify data integrity. Enter some text below to generate a SHA hash, or <0>load an example</0>.",
  "sqlFormatter-examples": {
    "example-1": "select orders.order_id, customers.customer_name, shippers.shipper_name\nfrom orders\ninner join customers on orders.customer_id = customers.customer_id\ninner join shippers on orders.shipper_id = shippers.shipper_id",
    "example-2": "insert into customers (customer_name, city, country)\nselect supplier_name, city, country from suppliers\nwhere country='germany'"
  },
  "sqlFormatter-heading": "Online SQL Formatter",
  "sqlFormatter-input-label": "Paste or type SQL here to format it",
  "sqlFormatter-intro": "Clean up and beautify your messy SQL queries, with customizable indentation, case, and line spacing. Enter some SQL below to format it, or <0>load an example</0>.",
  "timestampConverter-examples": {
    "example-1": "12pm yesterday AEST in JST",
    "example-2": "5pm JST in PST"
  },
  "timestampConverter-heading": "Online Date and Time Converter",
  "timestampConverter-input-label": "Paste a timestamp here to convert it",
  "timestampConverter-intro": "Convert dates and times into different formats, and between timezones. Enter a human-readable date, time, or Unix timestamp below to convert it, or <0>load an example</0>.",
  "tomlFormatter-examples": {
    "example-1": "[Year2011]\nAge = 29\nName = \"Natalie Portman\"\nMovie = \"Black Swan\"\n[Year2012]\nAge = 62\nName = \"Meryl Streep\"\nMovie = \"The Iron Lady\"\n[Year2013]\nAge = 22\nName = \"Jennifer Lawrence\"\nMovie = \"Silver Linings Playbook\"\n[Year2014]\nAge = 44\nName = \"Cate Blanchett\"\nMovie = \"Blue Jasmine\"\n[Year2015]\nAge = 54\nName = \"Julianne Moore\"\nMovie = \"Still Alice\"\n[Year2016]\nAge = 26\nName = \"Brie Larson\"\nMovie = \"Room\"",
    "example-2": "[Australia]\nRegion = 'Oceania'\nPopulation = 24451000\nPopulationDensity = 3.2\nGdpPerCapita = 51352.2\nSurfaceArea = 7692060\nUnemployment = 5.5\n[Japan]\nRegion = 'Eastern Asia'\nPopulation = 127484000\nPopulationDensity = 349.7\nGdpPerCapita = 34628.7\nSurfaceArea = 377930\nUnemployment = 3\n[NewZealand]\nRegion = 'Oceania'\nPopulation = 4706000\nPopulationDensity = 17.9\nGdpPerCapita = 38294.3\nSurfaceArea = 268107\nUnemployment = 5.5\n[UnitedKingdom]\nRegion = 'Northern Europe'\nPopulation = 66182000\nPopulationDensity = 273.6\nGdpPerCapita = 44162.4\nSurfaceArea = 242495\nUnemployment = 5"
  },
  "tomlFormatter-heading": "Online TOML Formatter",
  "tomlFormatter-input-label": "Paste or type TOML here to format it",
  "tomlFormatter-intro": "Clean up and beautify your TOML markup, with customizable key sorting and syntax highlighting. Enter some TOML below to format it, or <0>load an example</0>.",
  "tomlToJsonConverter-examples": {
    "example-1": "[Year2011]\nAge = 29\nName = \"Natalie Portman\"\nMovie = \"Black Swan\"\n[Year2012]\nAge = 62\nName = \"Meryl Streep\"\nMovie = \"The Iron Lady\"\n[Year2013]\nAge = 22\nName = \"Jennifer Lawrence\"\nMovie = \"Silver Linings Playbook\"\n[Year2014]\nAge = 44\nName = \"Cate Blanchett\"\nMovie = \"Blue Jasmine\"\n[Year2015]\nAge = 54\nName = \"Julianne Moore\"\nMovie = \"Still Alice\"\n[Year2016]\nAge = 26\nName = \"Brie Larson\"\nMovie = \"Room\"",
    "example-2": "[Australia]\nRegion = 'Oceania'\nPopulation = 24451000\nPopulationDensity = 3.2\nGdpPerCapita = 51352.2\nSurfaceArea = 7692060\nUnemployment = 5.5\n[Japan]\nRegion = 'Eastern Asia'\nPopulation = 127484000\nPopulationDensity = 349.7\nGdpPerCapita = 34628.7\nSurfaceArea = 377930\nUnemployment = 3\n[NewZealand]\nRegion = 'Oceania'\nPopulation = 4706000\nPopulationDensity = 17.9\nGdpPerCapita = 38294.3\nSurfaceArea = 268107\nUnemployment = 5.5\n[UnitedKingdom]\nRegion = 'Northern Europe'\nPopulation = 66182000\nPopulationDensity = 273.6\nGdpPerCapita = 44162.4\nSurfaceArea = 242495\nUnemployment = 5"
  },
  "tomlToJsonConverter-heading": "Online TOML to JSON Converter",
  "tomlToJsonConverter-input-label": "Paste or type TOML here to convert it",
  "tomlToJsonConverter-intro": "Convert your TOML markup to formatted JSON, with customizable indentation, key sorting, and syntax highlighting. Enter some TOML below to convert it, or <0>load an example</0>.",
  "tomlToXmlConverter-examples": {
    "example-1": "[Year2011]\nAge = 29\nName = \"Natalie Portman\"\nMovie = \"Black Swan\"\n[Year2012]\nAge = 62\nName = \"Meryl Streep\"\nMovie = \"The Iron Lady\"\n[Year2013]\nAge = 22\nName = \"Jennifer Lawrence\"\nMovie = \"Silver Linings Playbook\"\n[Year2014]\nAge = 44\nName = \"Cate Blanchett\"\nMovie = \"Blue Jasmine\"\n[Year2015]\nAge = 54\nName = \"Julianne Moore\"\nMovie = \"Still Alice\"\n[Year2016]\nAge = 26\nName = \"Brie Larson\"\nMovie = \"Room\"",
    "example-2": "[Australia]\nRegion = 'Oceania'\nPopulation = 24451000\nPopulationDensity = 3.2\nGdpPerCapita = 51352.2\nSurfaceArea = 7692060\nUnemployment = 5.5\n[Japan]\nRegion = 'Eastern Asia'\nPopulation = 127484000\nPopulationDensity = 349.7\nGdpPerCapita = 34628.7\nSurfaceArea = 377930\nUnemployment = 3\n[NewZealand]\nRegion = 'Oceania'\nPopulation = 4706000\nPopulationDensity = 17.9\nGdpPerCapita = 38294.3\nSurfaceArea = 268107\nUnemployment = 5.5\n[UnitedKingdom]\nRegion = 'Northern Europe'\nPopulation = 66182000\nPopulationDensity = 273.6\nGdpPerCapita = 44162.4\nSurfaceArea = 242495\nUnemployment = 5"
  },
  "tomlToXmlConverter-heading": "Online TOML to XML Converter",
  "tomlToXmlConverter-input-label": "Paste or type XML here to convert it",
  "tomlToXmlConverter-intro": "Convert your TOML markup to formatted XML, with customizable indentation, key sorting, and syntax highlighting. Enter some TOML below to convert it, or <0>load an example</0>.",
  "tomlToYamlConverter-examples": {
    "example-1": "[Year2011]\nAge = 29\nName = \"Natalie Portman\"\nMovie = \"Black Swan\"\n[Year2012]\nAge = 62\nName = \"Meryl Streep\"\nMovie = \"The Iron Lady\"\n[Year2013]\nAge = 22\nName = \"Jennifer Lawrence\"\nMovie = \"Silver Linings Playbook\"\n[Year2014]\nAge = 44\nName = \"Cate Blanchett\"\nMovie = \"Blue Jasmine\"\n[Year2015]\nAge = 54\nName = \"Julianne Moore\"\nMovie = \"Still Alice\"\n[Year2016]\nAge = 26\nName = \"Brie Larson\"\nMovie = \"Room\"",
    "example-2": "[Australia]\nRegion = 'Oceania'\nPopulation = 24451000\nPopulationDensity = 3.2\nGdpPerCapita = 51352.2\nSurfaceArea = 7692060\nUnemployment = 5.5\n[Japan]\nRegion = 'Eastern Asia'\nPopulation = 127484000\nPopulationDensity = 349.7\nGdpPerCapita = 34628.7\nSurfaceArea = 377930\nUnemployment = 3\n[NewZealand]\nRegion = 'Oceania'\nPopulation = 4706000\nPopulationDensity = 17.9\nGdpPerCapita = 38294.3\nSurfaceArea = 268107\nUnemployment = 5.5\n[UnitedKingdom]\nRegion = 'Northern Europe'\nPopulation = 66182000\nPopulationDensity = 273.6\nGdpPerCapita = 44162.4\nSurfaceArea = 242495\nUnemployment = 5"
  },
  "tomlToYamlConverter-heading": "Online TOML to YAML Converter",
  "tomlToYamlConverter-input-label": "Paste or type TOML here to convert it",
  "tomlToYamlConverter-intro": "Convert your TOML markup to formatted YAML, with customizable indentation, key sorting, and syntax highlighting. Enter some TOML below to convert it, or <0>load an example</0>.",
  "upperCaseConverter-examples": {
    "example-1": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair.",
    "example-2": "\"From now on I'm thinking only of me.\"\n\nMajor Danby replied indulgently with a superior smile: \"But, Yossarian, suppose everyone felt that way.\"\n\n\"Then,\" said Yossarian, \"I'd certainly be a damned fool to feel any other way, wouldn't I?\""
  },
  "upperCaseConverter-heading": "Online Upper-Case Converter",
  "upperCaseConverter-input-label": "Paste or type text here to convert it",
  "upperCaseConverter-intro": "Enter some mixed-case text below to convert it to upper-case, or <0>load an example</0>.",
  "urlDecoder-examples": {
    "example-1": "%5B%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2229%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22Black%20Swan%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Natalie%20Portman%22%2C%0A%20%20%20%20%22Year%22%3A%20%222011%22%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2262%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22The%20Iron%20Lady%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Meryl%20Streep%22%2C%0A%20%20%20%20%22Year%22%3A%20%222012%22%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2222%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22Silver%20Linings%20Playbook%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Jennifer%20Lawrence%22%2C%0A%20%20%20%20%22Year%22%3A%20%222013%22%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2244%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22Blue%20Jasmine%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Cate%20Blanchett%22%2C%0A%20%20%20%20%22Year%22%3A%20%222014%22%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2254%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22Still%20Alice%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Julianne%20Moore%22%2C%0A%20%20%20%20%22Year%22%3A%20%222015%22%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Age%22%3A%20%2226%22%2C%0A%20%20%20%20%22Movie%22%3A%20%22Room%22%2C%0A%20%20%20%20%22Name%22%3A%20%22Brie%20Larson%22%2C%0A%20%20%20%20%22Year%22%3A%20%222016%22%0A%20%20%7D%0A%5D",
    "example-2": "%5B%0A%20%20%7B%0A%20%20%20%20%22Country%22%3A%20%22Australia%22%2C%0A%20%20%20%20%22Region%22%3A%20%22Oceania%22%2C%0A%20%20%20%20%22SurfaceArea%22%3A%207692060%2C%0A%20%20%20%20%22Population%22%3A%2024451000%2C%0A%20%20%20%20%22PopulationDensity%22%3A%203.2%2C%0A%20%20%20%20%22GdpPerCapita%22%3A%2051352.2%2C%0A%20%20%20%20%22Unemployment%22%3A%205.5%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Country%22%3A%20%22Japan%22%2C%0A%20%20%20%20%22Region%22%3A%20%22Eastern%20Asia%22%2C%0A%20%20%20%20%22SurfaceArea%22%3A%20377930%2C%0A%20%20%20%20%22Population%22%3A%20127484000%2C%0A%20%20%20%20%22PopulationDensity%22%3A%20349.7%2C%0A%20%20%20%20%22GdpPerCapita%22%3A%2034628.7%2C%0A%20%20%20%20%22Unemployment%22%3A%203%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Country%22%3A%20%22New%20Zealand%22%2C%0A%20%20%20%20%22Region%22%3A%20%22Oceania%22%2C%0A%20%20%20%20%22SurfaceArea%22%3A%20268107%2C%0A%20%20%20%20%22Population%22%3A%204706000%2C%0A%20%20%20%20%22PopulationDensity%22%3A%2017.9%2C%0A%20%20%20%20%22GdpPerCapita%22%3A%2038294.3%2C%0A%20%20%20%20%22Unemployment%22%3A%205.5%0A%20%20%7D%2C%0A%20%20%7B%0A%20%20%20%20%22Country%22%3A%20%22United%20Kingdom%22%2C%0A%20%20%20%20%22Region%22%3A%20%22Northern%20Europe%22%2C%0A%20%20%20%20%22SurfaceArea%22%3A%20242495%2C%0A%20%20%20%20%22Population%22%3A%2066182000%2C%0A%20%20%20%20%22PopulationDensity%22%3A%20273.6%2C%0A%20%20%20%20%22GdpPerCapita%22%3A%2044162.4%2C%0A%20%20%20%20%22Unemployment%22%3A%205%0A%20%20%7D%0A%5D"
  },
  "urlDecoder-heading": "Online URL Decoder",
  "urlDecoder-input-label": "Paste or type text here to decode it",
  "urlDecoder-intro": "URL encoding is designed convert characters into a format that can be transmitted over the Internet as ASCII text. Enter a url-encoded string below to decode it into its original form, or <0>load an example</0>.",
  "urlEncoder-examples": {
    "example-1": "[\n  {\n    \"Age\": \"29\",\n    \"Movie\": \"Black Swan\",\n    \"Name\": \"Natalie Portman\",\n    \"Year\": \"2011\"\n  },\n  {\n    \"Age\": \"62\",\n    \"Movie\": \"The Iron Lady\",\n    \"Name\": \"Meryl Streep\",\n    \"Year\": \"2012\"\n  },\n  {\n    \"Age\": \"22\",\n    \"Movie\": \"Silver Linings Playbook\",\n    \"Name\": \"Jennifer Lawrence\",\n    \"Year\": \"2013\"\n  },\n  {\n    \"Age\": \"44\",\n    \"Movie\": \"Blue Jasmine\",\n    \"Name\": \"Cate Blanchett\",\n    \"Year\": \"2014\"\n  },\n  {\n    \"Age\": \"54\",\n    \"Movie\": \"Still Alice\",\n    \"Name\": \"Julianne Moore\",\n    \"Year\": \"2015\"\n  },\n  {\n    \"Age\": \"26\",\n    \"Movie\": \"Room\",\n    \"Name\": \"Brie Larson\",\n    \"Year\": \"2016\"\n  }\n]",
    "example-2": "[\n  {\"Country\": \"Australia\",\"Region\": \"Oceania\",\"SurfaceArea\": 7692060,\"Population\": 24451000,\"PopulationDensity\": 3.2,\n\"GdpPerCapita\": 51352.2,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"Japan\",\"Region\": \"Eastern Asia\",\"SurfaceArea\": 377930,\"Population\": 127484000,\"PopulationDensity\": 349.7,\n\"GdpPerCapita\": 34628.7,\n\"Unemployment\": 3\n},\n  {\"Country\": \"New Zealand\",\"Region\": \"Oceania\",\"SurfaceArea\": 268107,\"Population\": 4706000,\"PopulationDensity\": 17.9,\n\"GdpPerCapita\": 38294.3,\n\"Unemployment\": 5.5\n},\n  {\"Country\": \"United Kingdom\",\"Region\": \"Northern Europe\",\"SurfaceArea\": 242495,\"Population\": 66182000,\"PopulationDensity\": 273.6,\n\"GdpPerCapita\": 44162.4,\n\"Unemployment\": 5\n}\n]"
  },
  "urlEncoder-heading": "Online URL Encoder",
  "urlEncoder-input-label": "Paste or type text here to encode it",
  "urlEncoder-intro": "URL encoding is designed convert characters into a format that can be transmitted over the Internet as ASCII text. Enter some text below to url-encode it, or <0>load an example</0>.",
  "uuidGenerator-examples": {
    "example-1": "uuid"
  },
  "uuidGenerator-heading": "Online UUID Generator",
  "uuidGenerator-input-label": "Paste or type text here to convert it",
  "uuidGenerator-intro": "A UUID (universally unique identifier) is a 128-bit value used for unique identification in software development. The generator below supports all popular versions of the UUID standard.",
  "xmlFormatter-examples": {
    "example-1": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<root>\n<element>\n<Age>29</Age>\n<Movie>Black Swan</Movie>\n<Name>Natalie Portman</Name>\n<Year>2011</Year>\n</element>\n<element>\n<Age>62</Age>\n<Movie>The Iron Lady</Movie>\n<Name>Meryl Streep</Name>\n<Year>2012</Year>\n</element>\n<element>\n<Age>22</Age>\n<Movie>Silver Linings Playbook</Movie>\n<Name>Jennifer Lawrence</Name>\n<Year>2013</Year>\n</element>\n<element>\n<Age>44</Age>\n<Movie>Blue Jasmine</Movie>\n<Name>Cate Blanchett</Name>\n<Year>2014</Year>\n</element>\n<element>\n<Age>54</Age>\n<Movie>Still Alice</Movie>\n<Name>Julianne Moore</Name>\n<Year>2015</Year>\n</element>\n<element>\n<Age>26</Age>\n<Movie>Room</Movie>\n<Name>Brie Larson</Name>\n<Year>2016</Year>\n</element>\n</root>",
    "example-2": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<item>\n<Country>Australia</Country>\n<Region>Oceania</Region>\n<SurfaceArea>7692060</SurfaceArea>\n<Population>24451000</Population>\n<PopulationDensity>3.2</PopulationDensity>\n<GdpPerCapita>51352.2</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>Japan</Country>\n<Region>Eastern Asia</Region>\n<SurfaceArea>377930</SurfaceArea>\n<Population>127484000</Population>\n<PopulationDensity>349.7</PopulationDensity>\n<GdpPerCapita>34628.7</GdpPerCapita>\n<Unemployment>3</Unemployment>\n</item>\n<item>\n<Country>New Zealand</Country>\n<Region>Oceania</Region>\n<SurfaceArea>268107</SurfaceArea>\n<Population>4706000</Population>\n<PopulationDensity>17.9</PopulationDensity>\n<GdpPerCapita>38294.3</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>United Kingdom</Country>\n<Region>Northern Europe</Region>\n<SurfaceArea>242495</SurfaceArea>\n<Population>66182000</Population>\n<PopulationDensity>273.6</PopulationDensity>\n<GdpPerCapita>44162.4</GdpPerCapita>\n<Unemployment>5</Unemployment>\n</item>"
  },
  "xmlFormatter-heading": "Online XML Formatter",
  "xmlFormatter-input-label": "Paste or type XML here to format it",
  "xmlFormatter-intro": "Clean up and beautify your messy, minified, or obfuscated XML markup, with customizable indentation, line length, and syntax highlighting. Enter some XML below to format it, or <0>load an example</0>.",
  "xmlToJsonConverter-examples": {
    "example-1": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<root>\n<element>\n<Age>29</Age>\n<Movie>Black Swan</Movie>\n<Name>Natalie Portman</Name>\n<Year>2011</Year>\n</element>\n<element>\n<Age>62</Age>\n<Movie>The Iron Lady</Movie>\n<Name>Meryl Streep</Name>\n<Year>2012</Year>\n</element>\n<element>\n<Age>22</Age>\n<Movie>Silver Linings Playbook</Movie>\n<Name>Jennifer Lawrence</Name>\n<Year>2013</Year>\n</element>\n<element>\n<Age>44</Age>\n<Movie>Blue Jasmine</Movie>\n<Name>Cate Blanchett</Name>\n<Year>2014</Year>\n</element>\n<element>\n<Age>54</Age>\n<Movie>Still Alice</Movie>\n<Name>Julianne Moore</Name>\n<Year>2015</Year>\n</element>\n<element>\n<Age>26</Age>\n<Movie>Room</Movie>\n<Name>Brie Larson</Name>\n<Year>2016</Year>\n</element>\n</root>",
    "example-2": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<item>\n<Country>Australia</Country>\n<Region>Oceania</Region>\n<SurfaceArea>7692060</SurfaceArea>\n<Population>24451000</Population>\n<PopulationDensity>3.2</PopulationDensity>\n<GdpPerCapita>51352.2</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>Japan</Country>\n<Region>Eastern Asia</Region>\n<SurfaceArea>377930</SurfaceArea>\n<Population>127484000</Population>\n<PopulationDensity>349.7</PopulationDensity>\n<GdpPerCapita>34628.7</GdpPerCapita>\n<Unemployment>3</Unemployment>\n</item>\n<item>\n<Country>New Zealand</Country>\n<Region>Oceania</Region>\n<SurfaceArea>268107</SurfaceArea>\n<Population>4706000</Population>\n<PopulationDensity>17.9</PopulationDensity>\n<GdpPerCapita>38294.3</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>United Kingdom</Country>\n<Region>Northern Europe</Region>\n<SurfaceArea>242495</SurfaceArea>\n<Population>66182000</Population>\n<PopulationDensity>273.6</PopulationDensity>\n<GdpPerCapita>44162.4</GdpPerCapita>\n<Unemployment>5</Unemployment>\n</item>"
  },
  "xmlToJsonConverter-heading": "Online XML to JSON Converter",
  "xmlToJsonConverter-input-label": "Paste or type XML here to convert it",
  "xmlToJsonConverter-intro": "XML (eXtensible Markup Language) is a markup language and file format for storing and transmitting data. Enter some XML data below to convert it to JSON format, or <0>load an example</0>.",
  "xmlToTomlConverter-examples": {
    "example-1": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<root>\n<element>\n<Age>29</Age>\n<Movie>Black Swan</Movie>\n<Name>Natalie Portman</Name>\n<Year>2011</Year>\n</element>\n<element>\n<Age>62</Age>\n<Movie>The Iron Lady</Movie>\n<Name>Meryl Streep</Name>\n<Year>2012</Year>\n</element>\n<element>\n<Age>22</Age>\n<Movie>Silver Linings Playbook</Movie>\n<Name>Jennifer Lawrence</Name>\n<Year>2013</Year>\n</element>\n<element>\n<Age>44</Age>\n<Movie>Blue Jasmine</Movie>\n<Name>Cate Blanchett</Name>\n<Year>2014</Year>\n</element>\n<element>\n<Age>54</Age>\n<Movie>Still Alice</Movie>\n<Name>Julianne Moore</Name>\n<Year>2015</Year>\n</element>\n<element>\n<Age>26</Age>\n<Movie>Room</Movie>\n<Name>Brie Larson</Name>\n<Year>2016</Year>\n</element>\n</root>",
    "example-2": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<item>\n<Country>Australia</Country>\n<Region>Oceania</Region>\n<SurfaceArea>7692060</SurfaceArea>\n<Population>24451000</Population>\n<PopulationDensity>3.2</PopulationDensity>\n<GdpPerCapita>51352.2</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>Japan</Country>\n<Region>Eastern Asia</Region>\n<SurfaceArea>377930</SurfaceArea>\n<Population>127484000</Population>\n<PopulationDensity>349.7</PopulationDensity>\n<GdpPerCapita>34628.7</GdpPerCapita>\n<Unemployment>3</Unemployment>\n</item>\n<item>\n<Country>New Zealand</Country>\n<Region>Oceania</Region>\n<SurfaceArea>268107</SurfaceArea>\n<Population>4706000</Population>\n<PopulationDensity>17.9</PopulationDensity>\n<GdpPerCapita>38294.3</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</item>\n<item>\n<Country>United Kingdom</Country>\n<Region>Northern Europe</Region>\n<SurfaceArea>242495</SurfaceArea>\n<Population>66182000</Population>\n<PopulationDensity>273.6</PopulationDensity>\n<GdpPerCapita>44162.4</GdpPerCapita>\n<Unemployment>5</Unemployment>\n</item>"
  },
  "xmlToTomlConverter-heading": "Online XML to TOML Converter",
  "xmlToTomlConverter-input-label": "Paste or type XML here to convert it",
  "xmlToTomlConverter-intro": "XML (eXtensible Markup Language) is a markup language and file format for storing and transmitting data. Enter some XML data below to convert it to TOML format, or <0>load an example</0>.",
  "xmlToTomlConverter-examples": {
    "example-1": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<Year2011>\n<Age>29</Age>\n<Name>Natalie Portman</Name>\n<Movie>Black Swan</Movie>\n</Year2011>\n<Year2012>\n<Age>62</Age>\n<Name>Meryl Streep</Name>\n<Movie>The Iron Lady</Movie>\n</Year2012>\n<Year2013>\n<Age>22</Age>\n<Name>Jennifer Lawrence</Name>\n<Movie>Silver Linings Playbook</Movie>\n</Year2013>\n<Year2014>\n<Age>44</Age>\n<Name>Cate Blanchett</Name>\n<Movie>Blue Jasmine</Movie>\n</Year2014>\n<Year2015>\n<Age>54</Age>\n<Name>Julianne Moore</Name>\n<Movie>Still Alice</Movie>\n</Year2015>\n<Year2016>\n<Age>26</Age>\n<Name>Brie Larson</Name>\n<Movie>Room</Movie>\n</Year2016>",
    "example-2": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<Australia>\n<Region>Oceania</Region>\n<SurfaceArea>7692060</SurfaceArea>\n<Population>24451000</Population>\n<PopulationDensity>3.2</PopulationDensity>\n<GdpPerCapita>51352.2</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</Australia>\n<Japan>\n<Region>Eastern Asia</Region>\n<SurfaceArea>377930</SurfaceArea>\n<Population>127484000</Population>\n<PopulationDensity>349.7</PopulationDensity>\n<GdpPerCapita>34628.7</GdpPerCapita>\n<Unemployment>3</Unemployment>\n</Japan>\n<NewZealand>\n<Region>Oceania</Region>\n<SurfaceArea>268107</SurfaceArea>\n<Population>4706000</Population>\n<PopulationDensity>17.9</PopulationDensity>\n<GdpPerCapita>38294.3</GdpPerCapita>\n<Unemployment>5.5</Unemployment>\n</NewZealand>\n<UnitedKingdom>\n<Region>Northern Europe</Region>\n<SurfaceArea>242495</SurfaceArea>\n<Population>66182000</Population>\n<PopulationDensity>273.6</PopulationDensity>\n<GdpPerCapita>44162.4</GdpPerCapita>\n<Unemployment>5</Unemployment>\n</UnitedKingdom>"
  },
  "xmlToYamlConverter-heading": "Online XML to YAML Converter",
  "xmlToYamlConverter-input-label": "Paste or type XML here to convert it",
  "xmlToYamlConverter-intro": "XML (eXtensible Markup Language) is a markup language and file format for storing and transmitting data. Enter some XML data below to convert it to YAML format, or <0>load an example</0>.",
  "yamlFormatter-examples": {
    "example-1": "- Year: '2011'\n  Age: '29'\n  Name: Natalie Portman\n  Movie: Black Swan\n- Year: '2012'\n  Age: '62'\n  Name: Meryl Streep\n  Movie: The Iron Lady\n- Year: '2013'\n  Age: '22'\n  Name: Jennifer Lawrence\n  Movie: Silver Linings Playbook\n- Year: '2014'\n  Age: '44'\n  Name: Cate Blanchett\n  Movie: Blue Jasmine\n- Year: '2015'\n  Age: '54'\n  Name: Julianne Moore\n  Movie: Still Alice\n- Year: '2016'\n  Age: '26'\n  Name: Brie Larson\n  Movie: Room",
    "example-2": "-\n  Country: Australia\n  GdpPerCapita: 51352.2\n  Population: 24451000\n  PopulationDensity: 3.2\n  Region: Oceania\n  SurfaceArea: 7692060\n  Unemployment: 5.5\n-\n  Country: Japan\n  GdpPerCapita: 34628.7\n  Population: 127484000\n  PopulationDensity: 349.7\n  Region: Eastern Asia\n  SurfaceArea: 377930\n  Unemployment: 3\n-\n  Country: New Zealand\n  GdpPerCapita: 38294.3\n  Population: 4706000\n  PopulationDensity: 17.9\n  Region: Oceania\n  SurfaceArea: 268107\n  Unemployment: 5.5\n-\n  Country: United Kingdom\n  GdpPerCapita: 44162.4\n  Population: 66182000\n  PopulationDensity: 273.6\n  Region: Northern Europe\n  SurfaceArea: 242495\n  Unemployment: 5"
  },
  "yamlFormatter-heading": "Online YAML Formatter",
  "yamlFormatter-input-label": "Paste or type YAML here to format it",
  "yamlFormatter-intro": "Clean up and beautify your YAML markup, with customizable indentation, key sorting, and syntax highlighting. Enter some YAML below to format it, or <0>load an example</0>.",
  "yamlToJsonConverter-examples": {
    "example-1": "- Year: '2011'\n  Age: '29'\n  Name: Natalie Portman\n  Movie: Black Swan\n- Year: '2012'\n  Age: '62'\n  Name: Meryl Streep\n  Movie: The Iron Lady\n- Year: '2013'\n  Age: '22'\n  Name: Jennifer Lawrence\n  Movie: Silver Linings Playbook\n- Year: '2014'\n  Age: '44'\n  Name: Cate Blanchett\n  Movie: Blue Jasmine\n- Year: '2015'\n  Age: '54'\n  Name: Julianne Moore\n  Movie: Still Alice\n- Year: '2016'\n  Age: '26'\n  Name: Brie Larson\n  Movie: Room",
    "example-2": "-\n  Country: Australia\n  GdpPerCapita: 51352.2\n  Population: 24451000\n  PopulationDensity: 3.2\n  Region: Oceania\n  SurfaceArea: 7692060\n  Unemployment: 5.5\n-\n  Country: Japan\n  GdpPerCapita: 34628.7\n  Population: 127484000\n  PopulationDensity: 349.7\n  Region: Eastern Asia\n  SurfaceArea: 377930\n  Unemployment: 3\n-\n  Country: New Zealand\n  GdpPerCapita: 38294.3\n  Population: 4706000\n  PopulationDensity: 17.9\n  Region: Oceania\n  SurfaceArea: 268107\n  Unemployment: 5.5\n-\n  Country: United Kingdom\n  GdpPerCapita: 44162.4\n  Population: 66182000\n  PopulationDensity: 273.6\n  Region: Northern Europe\n  SurfaceArea: 242495\n  Unemployment: 5"
  },
  "yamlToJsonConverter-heading": "Online YAML to JSON Converter",
  "yamlToJsonConverter-input-label": "Paste or type YAML here to convert it",
  "yamlToJsonConverter-intro": "Convert your YAML markup to formatted JSON, with customizable indentation, key sorting, and syntax highlighting. Enter some YAML below to convert it, or <0>load an example</0>.",
  "yamlToTomlConverter-examples": {
    "example-1": "Year2011:\n  Age: 29\n  Name: 'Natalie Portman'\n  Movie: 'Black Swan'\nYear2012:\n  Age: 62\n  Name: 'Meryl Streep'\n  Movie: 'The Iron Lady'\nYear2013:\n  Age: 22\n  Name: 'Jennifer Lawrence'\n  Movie: 'Silver Linings Playbook'\nYear2014:\n  Age: 44\n  Name: 'Cate Blanchett'\n  Movie: 'Blue Jasmine'\nYear2015:\n  Age: 54\n  Name: 'Julianne Moore'\n  Movie: 'Still Alice'\nYear2016:\n  Age: 26\n  Name: 'Brie Larson'\n  Movie: 'Room'",
    "example-2": "Australia:\n  Region: 'Oceania'\n  Population: 24451000\n  PopulationDensity: 3.2\n  GdpPerCapita: 51352.2\n  SurfaceArea: 7692060\n  Unemployment: 5.5\nJapan:\n  Region: 'Eastern Asia'\n  Population: 127484000\n  PopulationDensity: 349.7\n  GdpPerCapita: 34628.7\n  SurfaceArea: 377930\n  Unemployment: 3\nNewZealand:\n  Region: 'Oceania'\n  Population: 4706000\n  PopulationDensity: 17.9\n  GdpPerCapita: 38294.3\n  SurfaceArea: 268107\n  Unemployment: 5.5\nUnitedKingdom:\n  Region: 'Northern Europe'\n  Population: 66182000\n  PopulationDensity: 273.6\n  GdpPerCapita: 44162.4\n  SurfaceArea: 242495\n  Unemployment: 5"
  },
  "yamlToTomlConverter-heading": "Online YAML to TOML Converter",
  "yamlToTomlConverter-input-label": "Paste or type YAML here to convert it",
  "yamlToTomlConverter-intro": "Convert your YAML markup to formatted TOML, with customizable key sorting and syntax highlighting. Enter some YAML below to convert it, or <0>load an example</0>.",
  "yamlToXmlConverter-examples": {
    "example-1": "- Year: '2011'\n  Age: '29'\n  Name: Natalie Portman\n  Movie: Black Swan\n- Year: '2012'\n  Age: '62'\n  Name: Meryl Streep\n  Movie: The Iron Lady\n- Year: '2013'\n  Age: '22'\n  Name: Jennifer Lawrence\n  Movie: Silver Linings Playbook\n- Year: '2014'\n  Age: '44'\n  Name: Cate Blanchett\n  Movie: Blue Jasmine\n- Year: '2015'\n  Age: '54'\n  Name: Julianne Moore\n  Movie: Still Alice\n- Year: '2016'\n  Age: '26'\n  Name: Brie Larson\n  Movie: Room",
    "example-2": "-\n  Country: Australia\n  GdpPerCapita: 51352.2\n  Population: 24451000\n  PopulationDensity: 3.2\n  Region: Oceania\n  SurfaceArea: 7692060\n  Unemployment: 5.5\n-\n  Country: Japan\n  GdpPerCapita: 34628.7\n  Population: 127484000\n  PopulationDensity: 349.7\n  Region: Eastern Asia\n  SurfaceArea: 377930\n  Unemployment: 3\n-\n  Country: New Zealand\n  GdpPerCapita: 38294.3\n  Population: 4706000\n  PopulationDensity: 17.9\n  Region: Oceania\n  SurfaceArea: 268107\n  Unemployment: 5.5\n-\n  Country: United Kingdom\n  GdpPerCapita: 44162.4\n  Population: 66182000\n  PopulationDensity: 273.6\n  Region: Northern Europe\n  SurfaceArea: 242495\n  Unemployment: 5"
  },
  "yamlToXmlConverter-heading": "Online YAML to XML Converter",
  "yamlToTomlConverter-input-label": "Paste or type YAML here to convert it",
  "yamlToXmlConverter-intro": "Convert your YAML markup to formatted XML, with customizable indentation, line length, and syntax highlighting. Enter some YAML below to convert it, or <0>load an example</0>."
}