Arbitrary Type Conversions ¶

Every type can be serialized in JSON, not just STL containers and scalar types. Usually, you would do something along those lines:

namespace ns {
    // a simple struct to model a person
    struct person {
        std::string name;
        std::string address;
        int age;
} // namespace ns
ns::person p = {"Ned Flanders", "744 Evergreen Terrace", 60};
// convert to JSON: copy each value into the JSON object
json j;
j["name"] = p.name;
j["address"] = p.address;
j["age"] = p.age;
// ...
// convert from JSON: copy each value from the JSON object
ns::person p {
    j["name"].template get<std::string>(),
    j["address"].template get<std::string>(),
    j["age"].template get<int>()

It works, but that's quite a lot of boilerplate... Fortunately, there's a better way:

// create a person
ns::person p {"Ned Flanders", "744 Evergreen Terrace", 60};
// conversion: person -> json
json j 




    
= p;
std::cout << j << std::endl;
// {"address":"744 Evergreen Terrace","age":60,"name":"Ned Flanders"}
// conversion: json -> person
auto p2 = j.template get<ns::person>();
// that's it
assert(p == p2);

Basic usage ¶

To make this work with one of your types, you only need to provide two functions:

using json = nlohmann::json;
namespace ns {
    void to_json(json& j, const person& p) {
        j = json{ {"name", p.name}, {"address", p.address}, {"age", p.age} };
    void from_json(const json& j, person& p) {
        j.at("name").get_to(p.name);
        j.at("address").get_to(p.address);
        j.at("age").get_to(p.age);
} // namespace ns

That's all! When calling the json constructor with your type, your custom to_json method will be automatically called. Likewise, when calling template get<your_type>() or get_to(your_type&) , the from_json method will be called.

Some important things:

• Those methods MUST be in your type's namespace (which can be the global namespace), or the library will not be able to locate them (in this example, they are in namespace ns , where person is defined).
• Those methods MUST be available (e.g., proper headers must be included) everywhere you use these conversions. Look at issue 1108 for errors that may occur otherwise.
• When using template get<your_type>() , your_type MUST be DefaultConstructible . (There is a way to bypass this requirement described later.)
• In function from_json , use function at() to access the object values rather than operator[] . In case a key does not exist, at throws an exception that you can handle, whereas operator[] exhibits undefined behavior.
• You do not need to add serializers or deserializers for STL types like std::vector : the library already implements these.

Simplify your life with macros ¶

If you just want to serialize/deserialize some structs, the to_json / from_json functions can be a lot of boilerplate.

There are four macros to make your life easier as long as you (1) want to use a JSON object as serialization and (2) want to use the member variable names as object keys in that object:

• NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE(name, member1, member2, ...) is to be defined inside the namespace of the class/struct to create code for. It will throw an exception in from_json() due to a missing value in the JSON object.
• NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_WITH_DEFAULT(name, member1, member2, ...) is to be defined inside the namespace of the class/struct to create code for. It will not throw an exception in from_json() due to a missing value in the JSON object, but fills in values from object which is default-constructed by the type.
• NLOHMANN_DEFINE_TYPE_INTRUSIVE(name, member1, member2, ...) is to be defined inside the class/struct to create code for. This macro can also access private members. It will throw an exception in from_json() due to a missing value in the JSON object.
• NLOHMANN_DEFINE_TYPE_INTRUSIVE_WITH_DEFAULT(name, member1, member2, ...) is to be defined inside the class/struct to create code for. This macro can also access private members. It will not throw an exception in from_json() due to a missing value in the JSON object, but fills in values from object which is default-constructed by the type.

In all macros, the first parameter is the name of the class/struct, and all remaining parameters name the members. You can read more docs about them starting from here .

namespace ns {
    NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE(person, name, address, age)

namespace ns {
    class address {
      private:
        std::string street;
        int housenumber;
        int postcode;
      public:
        NLOHMANN_DEFINE_TYPE_INTRUSIVE(address, street, housenumber, postcode)

How do I convert third-party types? ¶

This requires a bit more advanced technique. But first, let's see how this conversion mechanism works:

The library uses JSON Serializers to convert types to json. The default serializer for nlohmann::json is nlohmann::adl_serializer (ADL means Argument-Dependent Lookup ).

It is implemented like this (simplified):

template <typename T>
struct adl_serializer {
    static void to_json(json& j, const T& value) {
        // calls the "to_json" method in T's namespace
    static void from_json(const json& j, T& value) {
        // same thing, but with the "from_json" method

This serializer works fine when you have control over the type's namespace. However, what about boost::optional or std::filesystem::path (C++17)? Hijacking the boost namespace is pretty bad, and it's illegal to add something other than template specializations to std ...

To solve this, you need to add a specialization of adl_serializer to the nlohmann namespace, here's an example:

// partial specialization (full specialization works too)
NLOHMANN_JSON_NAMESPACE_BEGIN
template <typename T>
struct adl_serializer<boost::optional<T>> {
    static void to_json(json& j, const boost::optional<T>& opt) {
        if (opt == boost::none) {
            j = nullptr;
        } else {
            j = *opt; // this will call adl_serializer<T>::to_json which will
                      // find the free function to_json in T's namespace!
    static void from_json(const json& j, boost::optional<T>& opt) {
        if (j.is_null()) {
            opt = boost::none;
        } else {
            opt = j.template get<T>(); // same as above, but with
                              // adl_serializer<T>::from_json
NLOHMANN_JSON_NAMESPACE_END

How can I use get() for non-default constructible/non-copyable types? ¶

There is a way, if your type is MoveConstructible . You will need to specialize the adl_serializer as well, but with a special from_json overload:

struct move_only_type {
    move_only_type() = delete;
    move_only_type(int ii): i(ii) {}
    move_only_type(const move_only_type&) = delete;
    move_only_type(move_only_type&&) = default;
    int i;
namespace nlohmann {
    template <>
    struct adl_serializer<move_only_type> {
        // note: the return type is no longer 'void', and the method only takes
        // one argument
        static move_only_type from_json(const json& j) {
            return {j.template get<int>()};
        // Here's the catch! You must provide a to_json method! Otherwise, you
        // will not be able to convert move_only_type to json, since you fully
        // specialized adl_serializer on that type
        static void to_json(json& j, move_only_type t) {
            j = t.i;

Can I write my own serializer? (Advanced use) ¶

Yes. You might want to take a look at unit-udt.cpp in the test suite, to see a few examples.

If you write your own serializer, you'll need to do a few things:

• use a different basic_json alias than nlohmann::json (the last template parameter of basic_json is the JSONSerializer )
• use your basic_json alias (or a template parameter) in all your to_json / from_json methods
• use nlohmann::to_json and nlohmann::from_json when you need ADL

Here is an example, without simplifications, that only accepts types with a size <= 32, and uses ADL.

// You should use void as a second template argument
// if you don't need compile-time checks on T
template<typename T, typename SFINAE = typename std::enable_if<sizeof(T) <= 32>::type>
struct less_than_32_serializer {
    template <typename BasicJsonType>
    static void to_json(BasicJsonType& j, T value) {
        // we want to use ADL, and call the correct to_json overload
        using nlohmann::to_json; // this method is called by adl_serializer,
                                 // this is where the magic happens
        to_json(j, value);
    template <typename BasicJsonType>
    static void from_json(const BasicJsonType& j, T& value) {
        // same thing here
        using nlohmann::from_json;
        from_json(j, value);

Be very careful when reimplementing your serializer, you can stack overflow if you don't pay attention:

template <typename T, void>
struct bad_serializer
    template <typename BasicJsonType>
    static void to_json(BasicJsonType& j, const T& value) {
      // this calls BasicJsonType::json_serializer<T>::to_json(j, value);
      // if BasicJsonType::json_serializer == bad_serializer ... oops!
      j = value;
    template <typename BasicJsonType>
    static void from_json(const BasicJsonType& j, T& value) {