| # Converting values |
| |
| A `basic_json` value stores JSON data, but most of the time you want to move that data into ordinary C++ types (an `int`, a `std::string`, a `std::vector`, or one of your own structs) and back. This page describes how these conversions work. |
| |
| ## Getting values out |
| |
| The [`get`](https://json.nlohmann.me/api/basic_json/get/index.md) function template returns a copy of the stored value converted to the requested type: |
| |
| ``` |
| json j = R"({"name": "Mary", "age": 42, "hobbies": ["hiking", "reading"]})"_json; |
| |
| auto name = j["name"].get<std::string>(); // "Mary" |
| auto age = j["age"].get<int>(); // 42 |
| auto hobbies = j["hobbies"].get<std::vector<std::string>>(); // {"hiking", "reading"} |
| ``` |
| |
| Getting a string without quotes |
| |
| A frequent point of confusion: use [`get`](https://json.nlohmann.me/api/basic_json/get/index.md), **not** [`dump`](https://json.nlohmann.me/features/serialization/index.md), to read a string value. `j["name"].get<std::string>()` yields `Mary`, whereas `j["name"].dump()` yields the JSON text `"Mary"` (**with** quotes), because `dump` always produces a JSON text. |
| |
| Alternatively, [`get_to`](https://json.nlohmann.me/api/basic_json/get_to/index.md) writes into an existing variable and deduces the target type, which avoids repeating it: |
| |
| Example |
| |
| ``` |
| #include <iostream> |
| #include <unordered_map> |
| #include <nlohmann/json.hpp> |
| |
| using json = nlohmann::json; |
| |
| int main() |
| { |
| // create a JSON value with different types |
| json json_types = |
| { |
| {"boolean", true}, |
| { |
| "number", { |
| {"integer", 42}, |
| {"floating-point", 17.23} |
| } |
| }, |
| {"string", "Hello, world!"}, |
| {"array", {1, 2, 3, 4, 5}}, |
| {"null", nullptr} |
| }; |
| |
| bool v1; |
| int v2; |
| short v3; |
| float v4; |
| int v5; |
| std::string v6; |
| std::vector<short> v7; |
| std::unordered_map<std::string, json> v8; |
| |
| // use explicit conversions |
| json_types["boolean"].get_to(v1); |
| json_types["number"]["integer"].get_to(v2); |
| json_types["number"]["integer"].get_to(v3); |
| json_types["number"]["floating-point"].get_to(v4); |
| json_types["number"]["floating-point"].get_to(v5); |
| json_types["string"].get_to(v6); |
| json_types["array"].get_to(v7); |
| json_types.get_to(v8); |
| |
| // print the conversion results |
| std::cout << v1 << '\n'; |
| std::cout << v2 << ' ' << v3 << '\n'; |
| std::cout << v4 << ' ' << v5 << '\n'; |
| std::cout << v6 << '\n'; |
| |
| for (auto i : v7) |
| { |
| std::cout << i << ' '; |
| } |
| std::cout << "\n\n"; |
| |
| for (auto i : v8) |
| { |
| std::cout << i.first << ": " << i.second << '\n'; |
| } |
| } |
| ``` |
| |
| Output: |
| |
| ``` |
| 1 |
| 42 42 |
| 17.23 17 |
| Hello, world! |
| 1 2 3 4 5 |
| |
| string: "Hello, world!" |
| number: {"floating-point":17.23,"integer":42} |
| null: null |
| boolean: true |
| array: [1,2,3,4,5] |
| ``` |
| |
| The library already knows how to convert to and from the scalar types and the STL containers (such as `std::vector`, `std::map`, `std::array`, `std::optional`, and many more). Converting a JSON object back to a `std::map` or a JSON array back to a `std::vector` therefore works without any extra code: |
| |
| ``` |
| json j = {{"one", 1}, {"two", 2}}; |
| auto m = j.get<std::map<std::string, int>>(); // {{"one", 1}, {"two", 2}} |
| ``` |
| |
| `std::pair` and `std::tuple` are also supported, converting positionally to and from a JSON array: |
| |
| ``` |
| json j = {1.0, "hello", 42}; |
| auto t = j.get<std::tuple<double, std::string, int>>(); // {1.0, "hello", 42} |
| ``` |
| |
| Extracting references into a tuple |
| |
| A tuple type may also hold references (e.g. `std::tuple<double&, std::string&>`) to avoid copying: `get` then returns a tuple of references pointing directly at the elements stored inside the `basic_json` array, rather than a tuple of copies: |
| |
| ``` |
| json j = {1.0, "hello"}; |
| auto refs = j.get<std::tuple<double&, std::string&>>(); |
| std::get<1>(refs) = "world"; // modifies j[1] in place |
| ``` |
| |
| A referenced type must be one the library actually stores (or an arithmetic type it can convert to/from); otherwise this is a compile error. |
| |
| ## Implicit conversions |
| |
| By default, a JSON value implicitly converts to a compatible C++ type, so the explicit `get` call can often be omitted: |
| |
| ``` |
| json j = "Hello"; |
| std::string s = j; // implicit conversion, same as j.get<std::string>() |
| ``` |
| |
| Implicit conversions are convenient but can be surprising (for example, in overload resolution or with `auto`). They can be disabled by defining [`JSON_USE_IMPLICIT_CONVERSIONS`](https://json.nlohmann.me/api/macros/json_use_implicit_conversions/index.md) to `0`, which forces the explicit `get` form and can catch unintended conversions at compile time. |
| |
| Conversions do not range-check numbers |
| |
| Just like C++ itself, the `get` family performs numeric conversions without range checks — retrieving a floating-point value as an integer truncates it, and narrowing conversions may overflow. See [number conversion](https://json.nlohmann.me/features/types/number_handling/#number-conversion) for details and how to guard against it. |
| |
| std::optional direct construction from JSON null throws |
| |
| Constructing or assigning `std::optional<T>` directly from a JSON value does not correctly produce `std::nullopt` for a JSON `null`: |
| |
| ``` |
| json j_null; |
| std::optional<std::string> opt = j_null; // ❌ throws type_error 302 |
| ``` |
| |
| This is due to C++ language rules: `std::optional<T>` has its own converting constructor that is chosen over `basic_json::operator T()` when both are viable. Use `get<std::optional<T>>()` or `get_to()` instead: |
| |
| ``` |
| auto opt = j_null.get<std::optional<std::string>>(); // ✅ std::nullopt |
| j_null.get_to(opt); // ✅ std::nullopt |
| ``` |
| |
| `static_cast` and `get<std::optional<T>>()` are not guaranteed equivalent |
| |
| `operator ValueType()` (used by `static_cast` and implicit conversions) intentionally excludes `std::optional<T>` from delegating to `get<T>()`, to avoid a constructor ambiguity with `std::optional<T>`'s own converting constructor from `basic_json`. As a result, `static_cast<std::optional<T>>(json_value)` goes through `std::optional<T>`'s own converting constructor rather than through `get<std::optional<T>>()`, which can behave differently -- for example, with a custom `adl_serializer<std::optional<T>>` specialization. Prefer `get<std::optional<T>>()`/`get_to()` over `static_cast` for optional types. |
| |
| Converting to a fixed-size `std::array` does not check length |
| |
| Converting a JSON array to `std::array<T, N>` does not check that the JSON array's size matches `N`: if the JSON array is longer, the extra elements are silently dropped; if it is shorter, the remaining `std::array` elements are left default-constructed. No exception is thrown in either case. |
| |
| ``` |
| json j = {1, 2, 3, 4, 5}; |
| auto a = j.get<std::array<int, 3>>(); // {1, 2, 3} -- elements 4 and 5 silently dropped |
| ``` |
| |
| ## Omitting a field when serializing `std::optional` |
| |
| By default, `to_json` for `std::optional<T>` writes either the value or `null` -- there is no built-in way to make a field disappear from the serialized object entirely when the `std::optional` is `std::nullopt`. Because a specialization of `adl_serializer<std::optional<T>>` only controls how the *value* is converted (it cannot prevent the containing object's `to_json` from inserting the key in the first place), omission has to be implemented in the *containing* type's `to_json`: |
| |
| ``` |
| struct person { |
| std::string name; |
| std::optional<int> age; |
| }; |
| |
| void to_json(json& j, const person& p) { |
| j = json{{"name", p.name}}; |
| if (p.age) { |
| j["age"] = *p.age; // key is only inserted when the optional has a value |
| } |
| } |
| ``` |
| |
| ## Putting values in |
| |
| The reverse direction works the same way: assigning or constructing a `json` from a C++ value converts it to JSON. |
| |
| ``` |
| std::vector<int> numbers = {1, 2, 3}; |
| json j = numbers; // [1,2,3] |
| ``` |
| |
| Constructing from a C++20 range view |
| |
| A `json` array can also be constructed directly from a C++20 range view (`std::ranges::view`), such as the result of `std::views::filter` or `std::views::transform` -- no intermediate container is needed: |
| |
| ``` |
| std::vector<int> nums{1, 2, 37, 42, 21}; |
| auto filtered = nums | std::views::filter([](int i) { return i > 10; }); |
| json j(filtered); // [37,42,21] |
| ``` |
| |
| This requires [`JSON_HAS_RANGES`](https://json.nlohmann.me/api/macros/json_has_ranges/index.md) to be enabled and is unavailable on MinGW due to incomplete C++20 ranges support there. |
| |
| ## Your own types |
| |
| The conversions above are built in for standard types. To make the same syntax work for **your own** types, provide `to_json`/`from_json` functions (or use one of the convenience macros). This is described in detail on the [arbitrary types conversions](https://json.nlohmann.me/features/arbitrary_types/index.md) page. Enums can be mapped to strings as described in [specializing enum conversion](https://json.nlohmann.me/features/enum_conversion/index.md). |
| |
| ## See also |
| |
| - [`get`](https://json.nlohmann.me/api/basic_json/get/index.md) - get a copy converted to a given type |
| - [`get_to`](https://json.nlohmann.me/api/basic_json/get_to/index.md) - convert into an existing variable |
| - [`get_ref`](https://json.nlohmann.me/api/basic_json/get_ref/index.md) / [`get_ptr`](https://json.nlohmann.me/api/basic_json/get_ptr/index.md) - access the stored value without copying |
| - [Arbitrary types conversions](https://json.nlohmann.me/features/arbitrary_types/index.md) - support your own types |
| - [`JSON_USE_IMPLICIT_CONVERSIONS`](https://json.nlohmann.me/api/macros/json_use_implicit_conversions/index.md) - toggle implicit conversions |