diff --git a/src/core/operations/OpticalCharacterRecognition.mjs b/src/core/operations/OpticalCharacterRecognition.mjs
index 3b3f87ed..2e21338b 100644
--- a/src/core/operations/OpticalCharacterRecognition.mjs
+++ b/src/core/operations/OpticalCharacterRecognition.mjs
@@ -6,155 +6,154 @@
* @license Apache-2.0
*/
- import Operation from "../Operation.mjs";
- import OperationError from "../errors/OperationError.mjs";
- import { isImage } from "../lib/FileType.mjs";
- import { toBase64 } from "../lib/Base64.mjs";
- import { isWorkerEnvironment } from "../Utils.mjs";
-
- import { createWorker } from "tesseract.js";
-
- /**
- * Optical Character Recognition operation
- */
- class OpticalCharacterRecognition extends Operation {
-
- /**
- * OpticalCharacterRecognition constructor
- */
- constructor() {
- super();
-
- this.name = "Optical Character Recognition";
- this.module = "OCR";
- this.description = "Optical character recognition or optical character reader (OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text.
Supported image formats: png, jpg, bmp, pbm.";
- this.infoURL = "https://wikipedia.org/wiki/Optical_character_recognition";
- this.inputType = "ArrayBuffer";
- this.outputType = "string";
- this.args = [
- {
- name: "Show confidence",
- type: "boolean",
- value: true
- },
- {
- name: "Language",
- type: "editableOptionShort",
- value: [
- { name: "Afrikaans", value: "afr" },
- { name: "Arabic", value: "ara" },
- { name: "Azerbaijani", value: "aze" },
- { name: "Belarusian", value: "bel" },
- { name: "Bengali", value: "ben" },
- { name: "Bulgarian", value: "bul" },
- { name: "Catalan", value: "cat" },
- { name: "Czech", value: "ces" },
- { name: "Chinese", value: "chi_sim" },
- { name: "Traditional Chinese", value: "chi_tra" },
- { name: "Cherokee", value: "chr" },
- { name: "Danish", value: "dan" },
- { name: "German", value: "deu" },
- { name: "Greek", value: "ell" },
- { name: "English", value: "eng" },
- { name: "English (Old)", value: "enm" },
- { name: "Internet Meme", value: "meme" },
- { name: "Esperanto", value: "epo" },
- { name: "Esperanto alternative", value: "epo_alt" },
- { name: "Estonian", value: "est" },
- { name: "Basque", value: "eus" },
- { name: "Finnish", value: "fin" },
- { name: "French", value: "fra" },
- { name: "Frankish", value: "frk" },
- { name: "French (Old)", value: "frm" },
- { name: "Galician", value: "glg" },
- { name: "Ancient Greek", value: "grc" },
- { name: "Hebrew", value: "heb" },
- { name: "Hindi", value: "hin" },
- { name: "Croatian", value: "hrv" },
- { name: "Hungarian", value: "hun" },
- { name: "Indonesian", value: "ind" },
- { name: "Icelandic", value: "isl" },
- { name: "Italian", value: "ita" },
- { name: "Italian (Old)", value: "ita_old" },
- { name: "Japanese", value: "jpn" },
- { name: "Kannada", value: "kan" },
- { name: "Korean", value: "kor" },
- { name: "Latvian", value: "lav" },
- { name: "Lithuanian", value: "lit" },
- { name: "Malayalam", value: "mal" },
- { name: "Macedonian", value: "mkd" },
- { name: "Maltese", value: "mlt" },
- { name: "Malay", value: "msa" },
- { name: "Dutch", value: "nld" },
- { name: "Norwegian", value: "nor" },
- { name: "Polish", value: "pol" },
- { name: "Portuguese", value: "por" },
- { name: "Romanian", value: "ron" },
- { name: "Russian", value: "rus" },
- { name: "Slovakian", value: "slk" },
- { name: "Slovenian", value: "slv" },
- { name: "Spanish", value: "spa" },
- { name: "Old Spanish", value: "spa_old" },
- { name: "Albanian", value: "sqi" },
- { name: "Serbian (Latin)", value: "srp" },
- { name: "Swahili", value: "swa" },
- { name: "Swedish", value: "swe" },
- { name: "Tamil", value: "tam" },
- { name: "Telugu", value: "tel" },
- { name: "Tagalog", value: "tgl" },
- { name: "Thai", value: "tha" },
- { name: "Turkish", value: "tur" },
- { name: "Ukrainian", value: "ukr" },
- { name: "Vietnamese", value: "vie" },
- ],
- defaultIndex: 14
- }
- ];
- }
-
- /**
- * @param {ArrayBuffer} input
- * @param {Object[]} args
- * @returns {string}
- */
- async run(input, args) {
- const [showConfidence, language] = args;
-
- if (!isWorkerEnvironment()) throw new OperationError("This operation only works in a browser");
-
- const type = isImage(input);
- if (!type) {
- throw new OperationError("Unsupported file type (supported: jpg,png,pbm,bmp) or no file provided\nOpen an image as input using the toolbar.");
- }
-
- try {
- self.sendStatusMessage("Spinning up Tesseract worker...");
- const image = `data:${type};base64,${toBase64(input)}`;
- const worker = createWorker({
- logger: progress => {
- if (isWorkerEnvironment()) {
- self.sendStatusMessage(`Status: ${progress.status}${progress.status === "recognizing text" ? ` - ${(parseFloat(progress.progress)*100).toFixed(2)}%`: "" }`);
- }
- }
- });
- await worker.load();
- self.sendStatusMessage(`Loading ${language} language pack...`);
- await worker.loadLanguage(language);
- self.sendStatusMessage("Intialising Tesseract API...");
- await worker.initialize(language);
- self.sendStatusMessage("Finding text...");
- const result = await worker.recognize(image);
-
- if (showConfidence) {
- return `Confidence: ${result.data.confidence}%\n\n${result.data.text}`;
- } else {
- return result.data.text;
- }
- } catch (err) {
- throw new OperationError(`Error performing OCR on image. (${err})`);
- }
- }
- }
-
- export default OpticalCharacterRecognition;
-
\ No newline at end of file
+import Operation from "../Operation.mjs";
+import OperationError from "../errors/OperationError.mjs";
+import { isImage } from "../lib/FileType.mjs";
+import { toBase64 } from "../lib/Base64.mjs";
+import { isWorkerEnvironment } from "../Utils.mjs";
+
+import { createWorker } from "tesseract.js";
+
+/**
+ * Optical Character Recognition operation
+ */
+class OpticalCharacterRecognition extends Operation {
+
+ /**
+ * OpticalCharacterRecognition constructor
+ */
+ constructor() {
+ super();
+
+ this.name = "Optical Character Recognition";
+ this.module = "OCR";
+ this.description = "Optical character recognition or optical character reader (OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text.
Supported image formats: png, jpg, bmp, pbm.";
+ this.infoURL = "https://wikipedia.org/wiki/Optical_character_recognition";
+ this.inputType = "ArrayBuffer";
+ this.outputType = "string";
+ this.args = [
+ {
+ name: "Show confidence",
+ type: "boolean",
+ value: true
+ },
+ {
+ name: "Language",
+ type: "editableOptionShort",
+ value: [
+ { name: "Afrikaans", value: "afr" },
+ { name: "Arabic", value: "ara" },
+ { name: "Azerbaijani", value: "aze" },
+ { name: "Belarusian", value: "bel" },
+ { name: "Bengali", value: "ben" },
+ { name: "Bulgarian", value: "bul" },
+ { name: "Catalan", value: "cat" },
+ { name: "Czech", value: "ces" },
+ { name: "Chinese", value: "chi_sim" },
+ { name: "Traditional Chinese", value: "chi_tra" },
+ { name: "Cherokee", value: "chr" },
+ { name: "Danish", value: "dan" },
+ { name: "German", value: "deu" },
+ { name: "Greek", value: "ell" },
+ { name: "English", value: "eng" },
+ { name: "English (Old)", value: "enm" },
+ { name: "Internet Meme", value: "meme" },
+ { name: "Esperanto", value: "epo" },
+ { name: "Esperanto alternative", value: "epo_alt" },
+ { name: "Estonian", value: "est" },
+ { name: "Basque", value: "eus" },
+ { name: "Finnish", value: "fin" },
+ { name: "French", value: "fra" },
+ { name: "Frankish", value: "frk" },
+ { name: "French (Old)", value: "frm" },
+ { name: "Galician", value: "glg" },
+ { name: "Ancient Greek", value: "grc" },
+ { name: "Hebrew", value: "heb" },
+ { name: "Hindi", value: "hin" },
+ { name: "Croatian", value: "hrv" },
+ { name: "Hungarian", value: "hun" },
+ { name: "Indonesian", value: "ind" },
+ { name: "Icelandic", value: "isl" },
+ { name: "Italian", value: "ita" },
+ { name: "Italian (Old)", value: "ita_old" },
+ { name: "Japanese", value: "jpn" },
+ { name: "Kannada", value: "kan" },
+ { name: "Korean", value: "kor" },
+ { name: "Latvian", value: "lav" },
+ { name: "Lithuanian", value: "lit" },
+ { name: "Malayalam", value: "mal" },
+ { name: "Macedonian", value: "mkd" },
+ { name: "Maltese", value: "mlt" },
+ { name: "Malay", value: "msa" },
+ { name: "Dutch", value: "nld" },
+ { name: "Norwegian", value: "nor" },
+ { name: "Polish", value: "pol" },
+ { name: "Portuguese", value: "por" },
+ { name: "Romanian", value: "ron" },
+ { name: "Russian", value: "rus" },
+ { name: "Slovakian", value: "slk" },
+ { name: "Slovenian", value: "slv" },
+ { name: "Spanish", value: "spa" },
+ { name: "Old Spanish", value: "spa_old" },
+ { name: "Albanian", value: "sqi" },
+ { name: "Serbian (Latin)", value: "srp" },
+ { name: "Swahili", value: "swa" },
+ { name: "Swedish", value: "swe" },
+ { name: "Tamil", value: "tam" },
+ { name: "Telugu", value: "tel" },
+ { name: "Tagalog", value: "tgl" },
+ { name: "Thai", value: "tha" },
+ { name: "Turkish", value: "tur" },
+ { name: "Ukrainian", value: "ukr" },
+ { name: "Vietnamese", value: "vie" },
+ ],
+ defaultIndex: 14
+ }
+ ];
+ }
+
+ /**
+ * @param {ArrayBuffer} input
+ * @param {Object[]} args
+ * @returns {string}
+ */
+ async run(input, args) {
+ const [showConfidence, language] = args;
+
+ if (!isWorkerEnvironment()) throw new OperationError("This operation only works in a browser");
+
+ const type = isImage(input);
+ if (!type) {
+ throw new OperationError("Unsupported file type (supported: jpg,png,pbm,bmp) or no file provided\nOpen an image as input using the toolbar.");
+ }
+
+ try {
+ self.sendStatusMessage("Spinning up Tesseract worker...");
+ const image = `data:${type};base64,${toBase64(input)}`;
+ const worker = createWorker({
+ logger: progress => {
+ if (isWorkerEnvironment()) {
+ self.sendStatusMessage(`Status: ${progress.status}${progress.status === "recognizing text" ? ` - ${(parseFloat(progress.progress)*100).toFixed(2)}%`: "" }`);
+ }
+ }
+ });
+ await worker.load();
+ self.sendStatusMessage(`Loading ${language} language pack...`);
+ await worker.loadLanguage(language);
+ self.sendStatusMessage("Intialising Tesseract API...");
+ await worker.initialize(language);
+ self.sendStatusMessage("Finding text...");
+ const result = await worker.recognize(image);
+
+ if (showConfidence) {
+ return `Confidence: ${result.data.confidence}%\n\n${result.data.text}`;
+ } else {
+ return result.data.text;
+ }
+ } catch (err) {
+ throw new OperationError(`Error performing OCR on image. (${err})`);
+ }
+ }
+}
+
+export default OpticalCharacterRecognition;