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在主流编程语言中解析、序列化和操作 JSON 的示例。
// 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
endrequire '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
endusing 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? Stringimport 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? Stringimport 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))
}用颜色区分字符串、数字、布尔值、null 和键,让复杂 JSON 结构一眼可读。
交互式展开和折叠嵌套对象与数组。深入浏览复杂结构时也不会丢失上下文。
用可视化缩略图概览整个 JSON 文档。点击缩略图任意位置即可立即跳转。
自动将杂乱 JSON 按正确缩进格式化,或校验并用清晰的错误信息定位语法问题。
所有解析过的 JSON 文档都会保存在浏览器本地 IndexedDB 中。可随时浏览、搜索并恢复历史会话。
点击任意键或值即可复制其 JSON 路径。每个节点都会显示数据类型和数组长度,便于快速检查。
JSON(JavaScript Object Notation)是一种轻量级数据交换格式,便于人类读写,也便于机器解析和生成。它广泛用于 Web API、配置文件和数据存储。
不会。所有解析、格式化和校验都完全在浏览器内通过 JavaScript 完成。你的数据不会离开设备,没有服务器请求,也没有数据收集。
这个工具支持语法高亮、可折叠树形视图、缩略图导航、自动格式化、带错误提示的校验、JSON 路径复制、基于 IndexedDB 的本地历史记录,以及可调整大小的分栏布局。
可以。该工具使用虚拟化渲染和缩略图来高效浏览大型文档。性能取决于浏览器和设备,但可以流畅处理包含数千行的文件。
你的 JSON 历史记录会保存在浏览器本地 IndexedDB 中,不会离开设备。你可以随时在历史侧栏中清空它。