Pridėkite vandens ženklą prie PDF arba Word failų arba pašalinkite anksčiau pridėtus vandenženklius naudodami JavaScript

import * as fs from "fs";

const wordsApi = new WordsApi("####-####-####-####-####", "##################");

const requestDocument = fs.createReadStream("Input.docx");
const requestWatermarkData = new model.WatermarkDataText({
    text: "This is the watermark text",
    layout: model.WatermarkDataText.LayoutEnum.Diagonal
})
const insertWatermarkRequest = new model.InsertWatermarkOnlineRequest({
    document: requestDocument,
    watermarkData: requestWatermarkData
});

wordsApi.insertWatermarkOnline(insertWatermarkRequest)
.then((insertWatermarkResult) => {
    console.log("Result of InsertWatermarkTextOnline: ", insertWatermarkResult);

    const convertRequest = new model.ConvertDocumentRequest({
        document: insertWatermarkResult.Document.Values(),
        format: "docx"
    });

    wordsApi.convertDocument(convertRequest)
    .then((convertResult) => {
        console.log("Result of ConvertDocument: ", convertResult);
    });
});

import * as fs from "fs";

const wordsApi = new WordsApi("####-####-####-####-####", "##################");

const requestDocument = fs.createReadStream("Input.docx");
const deleteWatermarkOnline = new model.DeleteWatermarkOnlineRequest({
    document: requestDocument
});

wordsApi.deleteWatermarkOnline(deleteWatermarkOnline)
.then((deleteWatermarkOnlineResult) => {
    console.log("Result of DeleteWatermarkOnline: ", deleteWatermarkOnlineResult);

    const requestDocument = deleteWatermarkOnlineResult.Document.Values();
    const convertDocument = new model.ConvertDocumentRequest({
        document: requestDocument,
        format: "docx"
    });

    wordsApi.convertDocument(convertDocument)
    .then((convertDocumentResult) => {
        console.log("Result of ConvertDocument: ", convertDocumentResult);
    });
});