Hash two selected files locally and report whether both byte length and digest match.
Selected text and files are processed locally. Hashes and checksums detect matching bytes; they do not prove that a file is trustworthy unless the expected digest came from a trusted source.
Compare local files by byte size and selected digest with independent file identity evidence and mismatch diagnostics.
connects text/file digests, checksum verification and HMAC workflows. Hashes compare exact bytes; HMAC additionally depends on a shared secret key.
Fast hashes such as SHA-256, SHA-1 and MD5 are not password-storage schemes. Production password storage should use a purpose-built slow password hashing/KDF design with salts and reviewed parameters; legacy algorithms remain here only for compatibility and checksum workflows.
Use the tool first, then apply these checks to verify inputs, interpret the result, and hand it off without displacing the primary workflow.
A digest is meaningful only when both files are processed with the same hash algorithm. SHA-256 values cannot be compared directly with SHA-512 or an older algorithm. For integrity verification, prefer a modern cryptographic hash when the expected digest source supports it, and record the algorithm name alongside the digest.
Two documents that look identical can hash differently because metadata, compression, timestamps, embedded fonts, ordering, or line endings changed. Conversely, matching strong digests are evidence that the byte sequences match. Decide whether the task is exact byte identity or semantic document comparison before interpreting a mismatch as corruption.
Hash comparison detects differences but does not make an untrusted reference trustworthy. When validating a downloaded release, obtain the expected digest from the publisher’s authenticated release channel or another independently trusted source. Comparing a file with a digest delivered by the same compromised channel cannot establish authenticity by itself.
Hashing runs locally, but the browser still needs to read each selected file and may use substantial memory for large inputs. Close unnecessary tabs and avoid repeatedly loading huge files when memory is constrained. If the comparison fails or the browser becomes unstable, use an appropriate local command-line integrity tool on the same files.
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