List<String> results = converter.convert(text, field, "en");

        assertNotNull(results);
    }

    @Test
    public void testConvertWithSpecialCharacters() throws IOException {
        // Test convert with special characters
        String text = "test@#$%123";
        String field = "content";

        List<String> results = converter.convert(text, field, "en");

        // Test convert with null text
        converter.init();
        String text = null;
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);
        assertTrue(readings.isEmpty());
    }

    @Test
    public void testConvertWithMultipleLanguages() throws IOException {
        // Test convert with multiple languages

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

            }
        }
        return defaultValue;
    }

    /**
     * Converts an object to the specified class type.
     * @param <T> The target type.
     * @param value The object to convert.
     * @param clazz The class type to convert to.
     * @return The converted object.
     */
    @SuppressWarnings("unchecked")

	policyCondStartsWith    = "starts-with"
	policyCondContentLength = "content-length-range"
)

// toString - Safely convert interface to string without causing panic.
func toString(val any) string {
	switch v := val.(type) {
	case string:
		return v
	default:
		return ""
	}
}

// toLowerString - safely convert interface to lower string
func toLowerString(val any) string {

But if the data didn't exist, you want to create it, and return an HTTP status code of "CREATED" `201`.

But you still want to be able to filter and convert the data you return with a `response_model`.

For those cases, you can use a `Response` parameter.

## Use a `Response` parameter { #use-a-response-parameter }

    public double getAverageReadLatencyMicros() {
        long reads = rdmaReads.get();
        if (reads == 0) {
            return 0.0;
        }
        return totalReadTime.get() / (double) reads / 1000.0; // Convert to microseconds
    }

    /**
     * Calculate average write latency in microseconds
     *
     * @return average write latency
     */
    public double getAverageWriteLatencyMicros() {

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

/// note | Technical Details

## Convert any Data to JSON-compatible { #convert-any-data-to-json-compatible }

To convert any data to JSON-compatible, read the docs for [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

        if (bytes.length != 16) {
            throw new IllegalArgumentException("GUID must be 16 bytes");
        }

        // MS-SMB2 specifies little-endian byte ordering for GUID components
        // Convert from little-endian wire format to Java UUID
        ByteBuffer bb = ByteBuffer.wrap(bytes).order(java.nio.ByteOrder.LITTLE_ENDIAN);

        // Read GUID components in little-endian order