Jpg json

Author: v | 2025-04-24

How to convert JSON to JPG. Select the file by clicking the JSON to JPG App or simply drag drop a JSON file. Click the Convert button to upload JSON and convert it to a JPG file. Click

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JSON, being very much human-readable and structured data format, it is widely used in the programming world. It is often required to view or share JSON data in a proper format. There comes the need to render JSON files as other document formats like PDF, PNG, JPG, or HTML. This article explains the basic way to view JSON files using simple C# code.JSON File Viewer – .NET APIGroupDocs.Viewer for .NET is a document viewer API and allows rendering various file formats into PDF, HTML, and image formats like JPG and PNG within the .NET application. I will use it in examples to view a JSON file by rendering it to PDF formats using C#.You can download the DLLs or MSI installer from the downloads section or install the API in your .NET application via NuGet.PM> Install-Package GroupDocs.ViewerThe API allows rendering JSON files to render as PDF, JPG, PNG, and HTML formats. Here, you will only see how to render it as a PDF. The following are the step to view JSON files by rendering these to PDF.Load the JSON file using the Viewer class.Use the PDF View Options to define the output path and settings.Call the View() method with set options to get the JSON file in PDF output.The following C# source code renders the JSON file as PDF:Get a Free API LicenseYou can get a free temporary license to use the API without the evaluation limitations to build an online JSON file viewer.ConclusionTo sum up, you just learned the basics of how to view JSON files within the .NET application using C#. Further, we will soon discuss how to render JSON files as JPG, PNG, and HTML.You can learn more about the API regarding building your own JSON viewer from the below links.Build Your Own JSON Viewer .NET ApplicationHere

C JPG to JSON - JPG to JSON Converter - products.aspose.com

EXIF properties in the JPG files are stored in JSON format. Therefore, I will need to use the built-in action “Parse JSON” to parse the JSON output, which can then be used to update the file properties in the SharePoint document library.“Save” the flow and run a “Test” to see if the “Get Image file” generates the EXIF data JSON.In the “Parse JSON” action, use the “EXIF Data (JSON)” from the “Get Image information” actionClick on “Generate from Sample” and paste the JSON output from “Get image information” action as shown in the screen capture video. Click on “Done”Before adding the next action in the Power Automate flow, I will add columns for storing the “Longitude” and “Latitude” values in the document library where I will be uploading the JPG files.The next step is to add the “Update file properties” SharePoint action which would update the document library with the GPS data extracted from the EXIF properties of the uploaded files.The below video illustrates the last action in the flow – Update file properties, which populates the “Longitude” and “Latitude” columns in the document library when JPG files containing EXIF GPS data are uploaded into a document library in SharePoint.Once the “Longitude” and “Latitude” values are updated in the document library, it’s now ready to be added as map layer in the ArcGIS for SharePoint web part.The ArcGIS for SharePoint app can be downloaded from MS App Source, the app is installed in the SharePoint tenant’s app catalog, the app

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Upload or drag and drop the files from your computer. 3. Settings and adjustmentsYou can customize settings such as language recognition, date formatting, category tagging, accuracy levels, and desired output formats (JPG, JSON, Excel). 4. Run the OCR engine Once you upload and fix adjustments, the OCR will start processing PDF documents automatically. The extracted data takes around 30 seconds to get. Solutions with pre-trained API models detect specific fields from the particular document promptly. Check the extracted data to edit (add or remove) the fields according to your data requirement. 5. Review and refineAfter extraction and validation, review each of the extracted fields manually to train the OCR model to yield a 99% accuracy rate in the future. Convert the approved data into different formats such as JPG, Excel, and JSON. Monitor accuracy, speed, and user experience for consistent performance and improvement. Top OCR solutions to extract data from PDFs 1. Free Online ToolsHere are some free online tools that provide data extraction services: Sejda PDF OnlineSejda PDF helps with editing, compressing, deleting, adding, merging, and organizing PDF pages. You can convert PDFs into different formats such as Excel, JPG, PPT, Text, and Word. Deskew and fix the pages using Sejda and convert data from PDFs to searchable texts. iLovePDFiLovePDF is a simple tool to merge, split, organize, and protect PDFs with passwords. You can also add page numbers to the PDF pages and convert them into JPG, Excel, PowerPoint, and Word. Using OCR technology, it converts scanned PDFs

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Var_dump($result); die("post request failed");}// Record the task ID and store it in the database.$task_id = $result["data"]["task_id"];php// Callback code.// Original JSON data.$jsonData = '{ "status": 200, "message": "success", "data": { "task_id": "13cc3f64-6753-4a59-a06d-38946bc91144", "image": "13cc3f64-6753-4a59-a06d-38946bc91144.jpg", "state": 1 }}';// if needed,Decode JSON data.$data = json_decode($jsonData, true);if ( !isset($data["status"]) || $data["status"] != 200 ) { // request failed, log the details var_dump($data); die("post request failed");}if ( $data["data"]["state"] == 1 ) { // task success Store the image in the database based on the taskId. var_dump($data["data"]["image"]);} else if ( $data["data"]["state"] 0) { // request failed, log the details var_dump($data);} else { //Task processing, abnormal situation, seeking assistance from customer service of picwish}OkHttpClient okHttpClient = new OkHttpClient.Builder().build();RequestBody requestBody = new MultipartBody.Builder() .setType(MultipartBody.FORM) .addFormDataPart("image_file", JPG_FILE_NAME, RequestBody.create({JPG_FILE}, MediaType.parse("image/jpeg"))) .addFormDataPart("callback_url", "YOUR_SERVER_URL") .build();Request request = new Request.Builder() .url(" .addHeader("X-API-KEY", "YOUR_API_KEY") .post(requestBody) .build();Response response = okHttpClient.newCall(request).execute();System.out.println("Response json string: " + response.body().string());const request = require("request");const fs = require("fs");const path = require('path')request( { method: "POST", url: " headers: { "X-API-KEY": "YOUR_API_KEY", }, formData: { callback_url: "YOUR_SERVER_URL", image_file: fs.createReadStream(path.join(__dirname, './test.jpg')), }, json: true }, function (error, response) { if (response.body.data) { console.log(response.body.data) } throw new Error(JSON.stringify(response.body, null, 2)) });import osimport requestsAPI_KEY = 'YOUR_API_KEY'IMAGE_FILE_PATH = 'YOUR_IMAGE_FILE_PATH'SERVER_URL = 'YOUR_SERVER_URL'def main(): assert os.path.exists(IMAGE_FILE_PATH), f'Error: File({IMAGE_FILE_PATH}) does not exist.' headers = {'X-API-KEY': API_KEY} data = {'callback_url': SERVER_URL} files = {'image_file': open(IMAGE_FILE_PATH, 'rb')} url = ' # Create a task response = requests.post(url, headers=headers, data=data, files=files) response_json = response.json() if 'status' in response_json and response_json['status'] == 200: # Task successful. Recorded in the database with task ID. print(f'Result(successful): {response_json}') else: # Request from user server failed. Please record the relevant error logs. print(f'Error: Failed to get the result,{response.text}')if __name__ == "__main__": main()using System;using System.IO;using System.Net.Http;using System.Threading.Tasks;public class Program{ public static async Task Main() { string apiKey = "YOUR_API_KEY"; string url = " string imagePath = "test.jpg"; string callbackUrl = "YOUR_SERVER_URL"; using (var client = new HttpClient()) { client.DefaultRequestHeaders.Add("X-API-KEY", apiKey); using (var content = new MultipartFormDataContent()) { var imageContent = new StreamContent(File.OpenRead(imagePath)); imageContent.Headers.ContentType = new System.Net.Http.Headers.MediaTypeHeaderValue("image/jpeg"); content.Add(new StringContent(callbackUrl), "callback_url"); content.Add(imageContent, "image_file", Path.GetFileName(imagePath)); //User server initiates a request. var response = await client.PostAsync(url, content); var responseContent = await response.Content.ReadAsStringAsync(); if (response.IsSuccessStatusCode) { //Task successful. var responseData = Newtonsoft.Json.JsonConvert.DeserializeObjectdynamic>(responseContent); Console.WriteLine($"result: {responseContent}"); } else { //Task processing, abnormal situation, seeking assistance from customer service of picwish Console.WriteLine($"Error: {responseContent}"); } } } Console.ReadKey(); }}import Alamofireimport Foundationlet API_KEY = "{YOUR_API_KEY}"let BASE_URL = " createTask(completion: @escaping (String) -> Void) { let url = URL(string: BASE_URL)! let headers: HTTPHeaders = [ "X-API-KEY": API_KEY ] let imagePath = Bundle.main.path(forResource: "test", ofType: "jpg")! AF.upload(multipartFormData: { multipartFormData in multipartFormData.append(URL(fileURLWithPath: imagePath), withName: "image_file", fileName: "test.jpg", mimeType: "image/jpeg") if let data = "YOUR_SERVER_URL".data(using: .utf8) { multipartFormData.append(data, withName: "callback_url") } }, to: url, method: .post, headers: headers).responseData { response in switch response.result { case .success(let value): if let json = try? JSONSerialization.jsonObject(with: value) as? [String: Any], let data = json["data"] as? [String: Any], let taskId = data["task_id"] as? String { completion(taskId) } case .failure(let error): print(error) } }}// File 1: User server initiates a request.package mainimport ( "bytes" "encoding/json" "fmt" "io" "io/ioutil" "mime/multipart". How to convert JSON to JPG. Select the file by clicking the JSON to JPG App or simply drag drop a JSON file. Click the Convert button to upload JSON and convert it to a JPG file. Click