sirajahmadzai opened a new pull request, #2251:
URL: https://github.com/apache/tika/pull/2251
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This PR introduces a `MatroskaDetector` to more accurately identify MKV and
WEBM files based on EBML headers and DocType strings. It improves detection in
cases where:
- File extensions are missing
- DocType is compressed, shifted, or partially missing
- Signatures in tika-mimetypes.xml alone are insufficient
Includes:
- `MatroskaDetector.java`
- Test file: `MatroskaDetectorTest.java`
- `META-INF/services/org.apache.tika.detect.Detector` entry
Benchmarked against:
- Default Tika
- Wladimir Leite's mime-type additions
- This detector
Results indicate this approach improves detection accuracy in nuanced cases
not handled by mime magic alone.
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