Parseur et formateur JSON en ligne — Formatez, validez et explorez le JSON avec coloration syntaxique et vue arborescente

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Exemples de code JSON

Analysez, sérialisez et manipulez du JSON dans les langages de programmation populaires.

// Parse a JSON string into an object
const raw = '{"name":"Alice","age":30,"active":true}';
const user = JSON.parse(raw);
console.log(user.name); // "Alice"

// Convert an object to a formatted JSON string
const data = {
  id: 1,
  tags: ["dev", "api"],
  address: { city: "NYC", zip: "10001" },
  score: null,
};
const pretty = JSON.stringify(data, null, 2);

// Custom replacer — omit sensitive fields
const safe = JSON.stringify(data, (key, val) =>
  key === "id" ? undefined : val
);

// Reviver — transform values during parsing
const parsed = JSON.parse('{"date":"2025-01-15T00:00:00Z"}', (key, val) =>
  key === "date" ? new Date(val) : val
);

// Fetch JSON from an API
const res = await fetch("https://api.example.com/users/1");
const json = await res.json();
// Parse a JSON string into an object
const raw = '{"name":"Alice","age":30,"active":true}';
const user = JSON.parse(raw);
console.log(user.name); // "Alice"

// Convert an object to a formatted JSON string
const data = {
  id: 1,
  tags: ["dev", "api"],
  address: { city: "NYC", zip: "10001" },
  score: null,
};
const pretty = JSON.stringify(data, null, 2);

// Custom replacer — omit sensitive fields
const safe = JSON.stringify(data, (key, val) =>
  key === "id" ? undefined : val
);

// Reviver — transform values during parsing
const parsed = JSON.parse('{"date":"2025-01-15T00:00:00Z"}', (key, val) =>
  key === "date" ? new Date(val) : val
);

// Fetch JSON from an API
const res = await fetch("https://api.example.com/users/1");
const json = await res.json();
import json
from pathlib import Path

# Parse a JSON string
raw = '{"name": "Alice", "age": 30, "active": true}'
user = json.loads(raw)
print(user["name"])  # Alice

# Serialize to a formatted JSON string
data = {
    "id": 1,
    "tags": ["dev", "api"],
    "address": {"city": "NYC", "zip": "10001"},
    "score": None,  # becomes null in JSON
}
pretty = json.dumps(data, indent=2, ensure_ascii=False)

# Read JSON from a file
config = json.loads(Path("config.json").read_text())

# Write JSON to a file
Path("output.json").write_text(
    json.dumps(data, indent=2)
)

# Custom encoder for non-serializable types
from datetime import datetime

class DateEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, datetime):
            return obj.isoformat()
        return super().default(obj)

json.dumps({"now": datetime.now()}, cls=DateEncoder)
import json
from pathlib import Path

# Parse a JSON string
raw = '{"name": "Alice", "age": 30, "active": true}'
user = json.loads(raw)
print(user["name"])  # Alice

# Serialize to a formatted JSON string
data = {
    "id": 1,
    "tags": ["dev", "api"],
    "address": {"city": "NYC", "zip": "10001"},
    "score": None,  # becomes null in JSON
}
pretty = json.dumps(data, indent=2, ensure_ascii=False)

# Read JSON from a file
config = json.loads(Path("config.json").read_text())

# Write JSON to a file
Path("output.json").write_text(
    json.dumps(data, indent=2)
)

# Custom encoder for non-serializable types
from datetime import datetime

class DateEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, datetime):
            return obj.isoformat()
        return super().default(obj)

json.dumps({"now": datetime.now()}, cls=DateEncoder)
// Define a typed interface for JSON data
interface User {
  name: string;
  age: number;
  active: boolean;
  tags: string[];
  address: { city: string; zip: string };
}

// Type-safe parsing with validation
function parseUser(raw: string): User {
  const data: unknown = JSON.parse(raw);
  if (
    typeof data === "object" && data !== null &&
    "name" in data && "age" in data
  ) {
    return data as User;
  }
  throw new Error("Invalid user JSON");
}

// Generic fetch helper with typed response
async function fetchJson<T>(url: string): Promise<T> {
  const res = await fetch(url);
  if (!res.ok) throw new Error(`HTTP ${res.status}`);
  return res.json() as Promise<T>;
}

const user = await fetchJson<User>("/api/user/1");

// Partial updates with Pick / Omit
type UserUpdate = Partial<Pick<User, "name" | "age">>;
const patch: UserUpdate = { name: "Bob" };
await fetch("/api/user/1", {
  method: "PATCH",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify(patch),
});
// Define a typed interface for JSON data
interface User {
  name: string;
  age: number;
  active: boolean;
  tags: string[];
  address: { city: string; zip: string };
}

// Type-safe parsing with validation
function parseUser(raw: string): User {
  const data: unknown = JSON.parse(raw);
  if (
    typeof data === "object" && data !== null &&
    "name" in data && "age" in data
  ) {
    return data as User;
  }
  throw new Error("Invalid user JSON");
}

// Generic fetch helper with typed response
async function fetchJson<T>(url: string): Promise<T> {
  const res = await fetch(url);
  if (!res.ok) throw new Error(`HTTP ${res.status}`);
  return res.json() as Promise<T>;
}

const user = await fetchJson<User>("/api/user/1");

// Partial updates with Pick / Omit
type UserUpdate = Partial<Pick<User, "name" | "age">>;
const patch: UserUpdate = { name: "Bob" };
await fetch("/api/user/1", {
  method: "PATCH",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify(patch),
});
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
import com.google.gson.reflect.TypeToken;
import java.util.List;
import java.util.Map;

public class JsonExample {
    // Define a POJO for JSON mapping
    record User(String name, int age, boolean active, List<String> tags) {}

    public static void main(String[] args) {
        Gson gson = new GsonBuilder().setPrettyPrinting().create();

        // Deserialize JSON string to object
        String raw = """
            {"name":"Alice","age":30,"active":true,"tags":["dev","api"]}
            """;
        User user = gson.fromJson(raw, User.class);
        System.out.println(user.name()); // Alice

        // Serialize object to JSON
        String json = gson.toJson(user);

        // Parse into a generic Map
        Map<String, Object> map = gson.fromJson(raw,
            new TypeToken<Map<String, Object>>(){}.getType());

        // Parse a JSON array
        String arr = """
            [{"name":"Alice"},{"name":"Bob"}]
            """;
        List<User> users = gson.fromJson(arr,
            new TypeToken<List<User>>(){}.getType());
    }
}
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
import com.google.gson.reflect.TypeToken;
import java.util.List;
import java.util.Map;

public class JsonExample {
    // Define a POJO for JSON mapping
    record User(String name, int age, boolean active, List<String> tags) {}

    public static void main(String[] args) {
        Gson gson = new GsonBuilder().setPrettyPrinting().create();

        // Deserialize JSON string to object
        String raw = """
            {"name":"Alice","age":30,"active":true,"tags":["dev","api"]}
            """;
        User user = gson.fromJson(raw, User.class);
        System.out.println(user.name()); // Alice

        // Serialize object to JSON
        String json = gson.toJson(user);

        // Parse into a generic Map
        Map<String, Object> map = gson.fromJson(raw,
            new TypeToken<Map<String, Object>>(){}.getType());

        // Parse a JSON array
        String arr = """
            [{"name":"Alice"},{"name":"Bob"}]
            """;
        List<User> users = gson.fromJson(arr,
            new TypeToken<List<User>>(){}.getType());
    }
}
package main

import (
	"encoding/json"
	"fmt"
	"os"
)

// Struct tags control JSON field names
type User struct {
	Name    string   `json:"name"`
	Age     int      `json:"age"`
	Active  bool     `json:"active"`
	Tags    []string `json:"tags,omitempty"`
	Address *Address `json:"address,omitempty"`
}

type Address struct {
	City string `json:"city"`
	Zip  string `json:"zip"`
}

func main() {
	// Unmarshal JSON into a struct
	raw := `{"name":"Alice","age":30,"active":true}`
	var user User
	json.Unmarshal([]byte(raw), &user)
	fmt.Println(user.Name) // Alice

	// Marshal struct to indented JSON
	out, _ := json.MarshalIndent(user, "", "  ")
	fmt.Println(string(out))

	// Decode from a stream (file, HTTP body, etc.)
	file, _ := os.Open("data.json")
	defer file.Close()
	var data User
	json.NewDecoder(file).Decode(&data)

	// Dynamic parsing with map
	var generic map[string]interface{}
	json.Unmarshal([]byte(raw), &generic)
}
package main

import (
	"encoding/json"
	"fmt"
	"os"
)

// Struct tags control JSON field names
type User struct {
	Name    string   `json:"name"`
	Age     int      `json:"age"`
	Active  bool     `json:"active"`
	Tags    []string `json:"tags,omitempty"`
	Address *Address `json:"address,omitempty"`
}

type Address struct {
	City string `json:"city"`
	Zip  string `json:"zip"`
}

func main() {
	// Unmarshal JSON into a struct
	raw := `{"name":"Alice","age":30,"active":true}`
	var user User
	json.Unmarshal([]byte(raw), &user)
	fmt.Println(user.Name) // Alice

	// Marshal struct to indented JSON
	out, _ := json.MarshalIndent(user, "", "  ")
	fmt.Println(string(out))

	// Decode from a stream (file, HTTP body, etc.)
	file, _ := os.Open("data.json")
	defer file.Close()
	var data User
	json.NewDecoder(file).Decode(&data)

	// Dynamic parsing with map
	var generic map[string]interface{}
	json.Unmarshal([]byte(raw), &generic)
}
use serde::{Deserialize, Serialize};
use serde_json::{json, Value};

// Derive macros for automatic JSON serialization
#[derive(Debug, Serialize, Deserialize)]
struct User {
    name: String,
    age: u32,
    active: bool,
    #[serde(default)]
    tags: Vec<String>,
    #[serde(skip_serializing_if = "Option::is_none")]
    address: Option<Address>,
}

#[derive(Debug, Serialize, Deserialize)]
struct Address {
    city: String,
    zip: String,
}

fn main() -> serde_json::Result<()> {
    // Deserialize from a JSON string
    let raw = r#"{"name":"Alice","age":30,"active":true}"#;
    let user: User = serde_json::from_str(raw)?;
    println!("{}", user.name); // Alice

    // Serialize to a pretty JSON string
    let json = serde_json::to_string_pretty(&user)?;

    // Build JSON dynamically with the json! macro
    let val = json!({
        "status": "ok",
        "count": 42,
        "items": ["a", "b", "c"]
    });

    // Parse into an untyped Value for dynamic access
    let v: Value = serde_json::from_str(raw)?;
    println!("{}", v["name"]); // "Alice"

    Ok(())
}
use serde::{Deserialize, Serialize};
use serde_json::{json, Value};

// Derive macros for automatic JSON serialization
#[derive(Debug, Serialize, Deserialize)]
struct User {
    name: String,
    age: u32,
    active: bool,
    #[serde(default)]
    tags: Vec<String>,
    #[serde(skip_serializing_if = "Option::is_none")]
    address: Option<Address>,
}

#[derive(Debug, Serialize, Deserialize)]
struct Address {
    city: String,
    zip: String,
}

fn main() -> serde_json::Result<()> {
    // Deserialize from a JSON string
    let raw = r#"{"name":"Alice","age":30,"active":true}"#;
    let user: User = serde_json::from_str(raw)?;
    println!("{}", user.name); // Alice

    // Serialize to a pretty JSON string
    let json = serde_json::to_string_pretty(&user)?;

    // Build JSON dynamically with the json! macro
    let val = json!({
        "status": "ok",
        "count": 42,
        "items": ["a", "b", "c"]
    });

    // Parse into an untyped Value for dynamic access
    let v: Value = serde_json::from_str(raw)?;
    println!("{}", v["name"]); // "Alice"

    Ok(())
}
<?php
// Decode a JSON string into an associative array
$raw = '{"name":"Alice","age":30,"active":true}';
$user = json_decode($raw, associative: true);
echo $user['name']; // Alice

// Decode into an object (stdClass)
$obj = json_decode($raw);
echo $obj->name; // Alice

// Encode an array to a formatted JSON string
$data = [
    'id' => 1,
    'tags' => ['dev', 'api'],
    'address' => ['city' => 'NYC', 'zip' => '10001'],
    'score' => null,
];
$json = json_encode($data, JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE);

// Error handling for malformed JSON
$bad = json_decode('invalid json');
if (json_last_error() !== JSON_ERROR_NONE) {
    echo 'Parse error: ' . json_last_error_msg();
}

// Read and write JSON files
$config = json_decode(file_get_contents('config.json'), true);
file_put_contents('output.json', json_encode($data, JSON_PRETTY_PRINT));
<?php
// Decode a JSON string into an associative array
$raw = '{"name":"Alice","age":30,"active":true}';
$user = json_decode($raw, associative: true);
echo $user['name']; // Alice

// Decode into an object (stdClass)
$obj = json_decode($raw);
echo $obj->name; // Alice

// Encode an array to a formatted JSON string
$data = [
    'id' => 1,
    'tags' => ['dev', 'api'],
    'address' => ['city' => 'NYC', 'zip' => '10001'],
    'score' => null,
];
$json = json_encode($data, JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE);

// Error handling for malformed JSON
$bad = json_decode('invalid json');
if (json_last_error() !== JSON_ERROR_NONE) {
    echo 'Parse error: ' . json_last_error_msg();
}

// Read and write JSON files
$config = json_decode(file_get_contents('config.json'), true);
file_put_contents('output.json', json_encode($data, JSON_PRETTY_PRINT));
require 'json'

# Parse a JSON string into a Hash
raw = '{"name":"Alice","age":30,"active":true}'
user = JSON.parse(raw)
puts user['name'] # Alice

# Parse with symbolized keys
user = JSON.parse(raw, symbolize_names: true)
puts user[:name] # Alice

# Generate formatted JSON from a Hash
data = {
  id: 1,
  tags: %w[dev api],
  address: { city: 'NYC', zip: '10001' },
  score: nil  # becomes null in JSON
}
puts JSON.pretty_generate(data)

# Read JSON from a file
config = JSON.parse(File.read('config.json'))

# Write JSON to a file
File.write('output.json', JSON.pretty_generate(data))

# Custom serialization with #to_json
class User
  attr_accessor :name, :age
  def to_json(*args)
    { name: @name, age: @age }.to_json(*args)
  end
end
require 'json'

# Parse a JSON string into a Hash
raw = '{"name":"Alice","age":30,"active":true}'
user = JSON.parse(raw)
puts user['name'] # Alice

# Parse with symbolized keys
user = JSON.parse(raw, symbolize_names: true)
puts user[:name] # Alice

# Generate formatted JSON from a Hash
data = {
  id: 1,
  tags: %w[dev api],
  address: { city: 'NYC', zip: '10001' },
  score: nil  # becomes null in JSON
}
puts JSON.pretty_generate(data)

# Read JSON from a file
config = JSON.parse(File.read('config.json'))

# Write JSON to a file
File.write('output.json', JSON.pretty_generate(data))

# Custom serialization with #to_json
class User
  attr_accessor :name, :age
  def to_json(*args)
    { name: @name, age: @age }.to_json(*args)
  end
end
using System.Text.Json;
using System.Text.Json.Serialization;

// Define a record for JSON mapping
public record User(
    string Name,
    int Age,
    bool Active,
    string[] Tags
);

// Deserialize JSON into a typed object
var raw = """{"name":"Alice","age":30,"active":true,"tags":["dev"]}""";
var opts = new JsonSerializerOptions {
    PropertyNameCaseInsensitive = true
};
var user = JsonSerializer.Deserialize<User>(raw, opts)!;
Console.WriteLine(user.Name); // Alice

// Serialize to indented JSON
var json = JsonSerializer.Serialize(user, new JsonSerializerOptions {
    WriteIndented = true,
    PropertyNamingPolicy = JsonNamingPolicy.CamelCase
});

// Parse dynamic JSON with JsonDocument
using var doc = JsonDocument.Parse(raw);
var root = doc.RootElement;
var name = root.GetProperty("name").GetString();

// Work with JsonNode for mutable access
var node = JsonNode.Parse(raw)!;
node["age"] = 31;
Console.WriteLine(node.ToJsonString());
using System.Text.Json;
using System.Text.Json.Serialization;

// Define a record for JSON mapping
public record User(
    string Name,
    int Age,
    bool Active,
    string[] Tags
);

// Deserialize JSON into a typed object
var raw = """{"name":"Alice","age":30,"active":true,"tags":["dev"]}""";
var opts = new JsonSerializerOptions {
    PropertyNameCaseInsensitive = true
};
var user = JsonSerializer.Deserialize<User>(raw, opts)!;
Console.WriteLine(user.Name); // Alice

// Serialize to indented JSON
var json = JsonSerializer.Serialize(user, new JsonSerializerOptions {
    WriteIndented = true,
    PropertyNamingPolicy = JsonNamingPolicy.CamelCase
});

// Parse dynamic JSON with JsonDocument
using var doc = JsonDocument.Parse(raw);
var root = doc.RootElement;
var name = root.GetProperty("name").GetString();

// Work with JsonNode for mutable access
var node = JsonNode.Parse(raw)!;
node["age"] = 31;
Console.WriteLine(node.ToJsonString());
import Foundation

// Define a Codable struct for JSON mapping
struct User: Codable {
    let name: String
    let age: Int
    let active: Bool
    let tags: [String]?
}

// Decode JSON data into a struct
let raw = #"{"name":"Alice","age":30,"active":true}"#
let data = raw.data(using: .utf8)!
let decoder = JSONDecoder()
let user = try decoder.decode(User.self, from: data)
print(user.name) // Alice

// Encode struct to formatted JSON
let encoder = JSONEncoder()
encoder.outputFormatting = [.prettyPrinted, .sortedKeys]
let json = try encoder.encode(user)
print(String(data: json, encoding: .utf8)!)

// Custom key mapping with CodingKeys
struct ApiResponse: Codable {
    let userId: Int
    let createdAt: String

    enum CodingKeys: String, CodingKey {
        case userId = "user_id"
        case createdAt = "created_at"
    }
}

// Dynamic parsing with JSONSerialization
let obj = try JSONSerialization.jsonObject(with: data) as! [String: Any]
let name = obj["name"] as? String
import Foundation

// Define a Codable struct for JSON mapping
struct User: Codable {
    let name: String
    let age: Int
    let active: Bool
    let tags: [String]?
}

// Decode JSON data into a struct
let raw = #"{"name":"Alice","age":30,"active":true}"#
let data = raw.data(using: .utf8)!
let decoder = JSONDecoder()
let user = try decoder.decode(User.self, from: data)
print(user.name) // Alice

// Encode struct to formatted JSON
let encoder = JSONEncoder()
encoder.outputFormatting = [.prettyPrinted, .sortedKeys]
let json = try encoder.encode(user)
print(String(data: json, encoding: .utf8)!)

// Custom key mapping with CodingKeys
struct ApiResponse: Codable {
    let userId: Int
    let createdAt: String

    enum CodingKeys: String, CodingKey {
        case userId = "user_id"
        case createdAt = "created_at"
    }
}

// Dynamic parsing with JSONSerialization
let obj = try JSONSerialization.jsonObject(with: data) as! [String: Any]
let name = obj["name"] as? String
import kotlinx.serialization.*
import kotlinx.serialization.json.*

// Data class with serialization annotations
@Serializable
data class User(
    val name: String,
    val age: Int,
    val active: Boolean,
    val tags: List<String> = emptyList()
)

fun main() {
    val json = Json { prettyPrint = true; ignoreUnknownKeys = true }

    // Deserialize JSON string to object
    val raw = """{"name":"Alice","age":30,"active":true}"""
    val user = json.decodeFromString<User>(raw)
    println(user.name) // Alice

    // Serialize object to JSON
    val output = json.encodeToString(user)

    // Dynamic parsing with JsonElement
    val element = json.parseToJsonElement(raw)
    val name = element.jsonObject["name"]?.jsonPrimitive?.content

    // Build JSON dynamically
    val built = buildJsonObject {
        put("status", "ok")
        put("count", 42)
        putJsonArray("items") {
            add("a"); add("b"); add("c")
        }
    }
    println(json.encodeToString(built))
}
import kotlinx.serialization.*
import kotlinx.serialization.json.*

// Data class with serialization annotations
@Serializable
data class User(
    val name: String,
    val age: Int,
    val active: Boolean,
    val tags: List<String> = emptyList()
)

fun main() {
    val json = Json { prettyPrint = true; ignoreUnknownKeys = true }

    // Deserialize JSON string to object
    val raw = """{"name":"Alice","age":30,"active":true}"""
    val user = json.decodeFromString<User>(raw)
    println(user.name) // Alice

    // Serialize object to JSON
    val output = json.encodeToString(user)

    // Dynamic parsing with JsonElement
    val element = json.parseToJsonElement(raw)
    val name = element.jsonObject["name"]?.jsonPrimitive?.content

    // Build JSON dynamically
    val built = buildJsonObject {
        put("status", "ok")
        put("count", 42)
        putJsonArray("items") {
            add("a"); add("b"); add("c")
        }
    }
    println(json.encodeToString(built))
}

Fonctionnalités

Coloration syntaxique

Affichage coloré des chaînes, nombres, booléens, valeurs null et clés, pour parcourir facilement les structures JSON complexes.

Vue arborescente repliable

Dépliez et repliez les objets et tableaux imbriqués de façon interactive. Naviguez dans les structures profondes sans perdre le contexte.

Navigation par minimap

Une minimap visuelle de tout votre document JSON. Cliquez n’importe où dessus pour accéder instantanément à cette section.

Formater et valider

Formatez automatiquement du JSON désordonné avec une indentation correcte, ou validez-le pour repérer les erreurs de syntaxe avec des messages précis.

Historique local

Tous vos documents JSON analysés sont enregistrés localement dans IndexedDB. Parcourez, recherchez et restaurez vos sessions précédentes à tout moment.

Copie de chemin et infos de type

Cliquez sur une clé ou une valeur pour copier son chemin JSON. Chaque nœud affiche son type de données et la longueur des tableaux pour une inspection rapide.

Questions fréquentes

JSON (JavaScript Object Notation) est un format léger d’échange de données, facile à lire et écrire pour les humains, et facile à analyser et générer pour les machines. Il est très utilisé dans les API web, les fichiers de configuration et le stockage de données.

Non. Toute l’analyse, le formatage et la validation se font entièrement dans votre navigateur avec JavaScript. Vos données ne quittent jamais votre appareil : aucune requête serveur, aucune collecte.

Cet outil prend en charge la coloration syntaxique, la vue arborescente repliable, la navigation par minimap, le formatage automatique, la validation avec messages d’erreur, la copie de chemins JSON, l’historique local via IndexedDB et une mise en page à panneaux redimensionnables.

Oui. L’outil utilise un rendu virtualisé et une minimap pour naviguer efficacement dans les grands documents. Les performances dépendent de votre navigateur et de votre appareil, mais il gère fluidement les fichiers de plusieurs milliers de lignes.

Votre historique JSON est stocké localement dans l’IndexedDB de votre navigateur. Il ne quitte jamais votre appareil. Vous pouvez l’effacer à tout moment depuis la barre latérale d’historique.

Une collection grandissante d'utilitaires développeur rapides et respectueux de la vie privée. Tous les outils s'exécutent dans votre navigateur ; vos données ne quittent pas votre appareil.

Outils

Analyseur JSONValidateur JSON SchemaConvertisseur JSONJSON vers TypeScriptVisionneuse OpenAPIFormateur de codeFormateur SQLConvertisseur cURLConvertisseur timestampParseur CronEncodeur URLOutil QR codeCalculateur IP et CIDROutil Gzip et DeflateDécodeur JWTOutil JWT Verify et JWKGénérateur de hashMot de passe et TOTPEncodeur Base64Générateur UUIDMétadonnées imageCompression imageTiny compresseur imageBoîte à outils image ProEnregistreur d’écranTesteur RegexDiff texteAperçu Markdown et MermaidOutil couleur et contraste

Légal

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