With reference to the following thread: Java App : Unable to read iso-8859-1 encoded file correctly
What is the best way to programatically determine the correct cha
As of this writing, they are three libraries that emerge:
I don't include Apache Any23 because it uses ICU4j 3.4 under the hood.
It's impossible to certify the charset detected by each above libraries. However, it's possible to ask them in turn and score the returned response.
Each response can be assigned one point. The more points a response have, the more confidence the detected charset has. This is a simple scoring method. You can elaborate others.
Here is a full snippet implementing the strategy described in the previous lines.
public static String guessEncoding(InputStream input) throws IOException {
// Load input data
long count = 0;
int n = 0, EOF = -1;
byte[] buffer = new byte[4096];
ByteArrayOutputStream output = new ByteArrayOutputStream();
while ((EOF != (n = input.read(buffer))) && (count <= Integer.MAX_VALUE)) {
output.write(buffer, 0, n);
count += n;
}
if (count > Integer.MAX_VALUE) {
throw new RuntimeException("Inputstream too large.");
}
byte[] data = output.toByteArray();
// Detect encoding
Map encodingsScores = new HashMap<>();
// * GuessEncoding
updateEncodingsScores(encodingsScores, new CharsetToolkit(data).guessEncoding().displayName());
// * ICU4j
CharsetDetector charsetDetector = new CharsetDetector();
charsetDetector.setText(data);
charsetDetector.enableInputFilter(true);
CharsetMatch cm = charsetDetector.detect();
if (cm != null) {
updateEncodingsScores(encodingsScores, cm.getName());
}
// * juniversalchardset
UniversalDetector universalDetector = new UniversalDetector(null);
universalDetector.handleData(data, 0, data.length);
universalDetector.dataEnd();
String encodingName = universalDetector.getDetectedCharset();
if (encodingName != null) {
updateEncodingsScores(encodingsScores, encodingName);
}
// Find winning encoding
Map.Entry maxEntry = null;
for (Map.Entry e : encodingsScores.entrySet()) {
if (maxEntry == null || (e.getValue()[0] > maxEntry.getValue()[0])) {
maxEntry = e;
}
}
String winningEncoding = maxEntry.getKey();
//dumpEncodingsScores(encodingsScores);
return winningEncoding;
}
private static void updateEncodingsScores(Map encodingsScores, String encoding) {
String encodingName = encoding.toLowerCase();
int[] encodingScore = encodingsScores.get(encodingName);
if (encodingScore == null) {
encodingsScores.put(encodingName, new int[] { 1 });
} else {
encodingScore[0]++;
}
}
private static void dumpEncodingsScores(Map encodingsScores) {
System.out.println(toString(encodingsScores));
}
private static String toString(Map encodingsScores) {
String GLUE = ", ";
StringBuilder sb = new StringBuilder();
for (Map.Entry e : encodingsScores.entrySet()) {
sb.append(e.getKey() + ":" + e.getValue()[0] + GLUE);
}
int len = sb.length();
sb.delete(len - GLUE.length(), len);
return "{ " + sb.toString() + " }";
}
Improvements:
The guessEncoding
method reads the inputstream entirely. For large inputstreams this can be a concern. All these libraries would read the whole inputstream. This would imply a large time consumption for detecting the charset.
It's possible to limit the initial data loading to a few bytes and perform the charset detection on those few bytes only.