Compare a text file vs a compressed file
file = (compare .txt vs .zip)
Result: Text: ~4.5 bits/byte (medium). ZIP: ~7.5 bits/byte (high).
File Entropy Analyzer
Measure the Shannon entropy (randomness) of a file and visualize its byte frequency distribution. Low entropy suggests repetitive or structured data (text, code). High entropy suggests compressed, encrypted, or random data. This is an analytical tool — high entropy does NOT prove malware.
Privacy: this tool processes your data entirely in your browser. Nothing you paste or type is sent to the server.
Enter your values and press Calculate — the result appears here.
Worked examples
Frequently asked questions
What is Shannon entropy?
Shannon entropy measures the average information content per byte. It ranges from 0 (all bytes identical) to 8 (maximally random). It quantifies unpredictability.
Does high entropy mean malware?
No. High entropy is normal for compressed files (ZIP, GZ), encrypted files, and many binary formats. It is a useful indicator but NOT proof of malicious content.
What are typical entropy values?
English text: ~4.0-4.5. Source code: ~4.5-5.5. Compressed data: ~7.0-8.0. Encrypted data: ~7.9-8.0. Random data: ~8.0.
Is my file uploaded?
No. The entire file is read and analyzed locally in your browser.
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