Hash Generator for Analysts

MD5 / SHA-1 / SHA-256 / SHA-512 of a string or a file - verify the source before relying on it.

The tools that come up when the actual job is interpreting data rather than collecting it: CSV viewer with column typing for the export you just got from the database, JSON formatter for the API response, regex tester against the source string, base64 for the binary blob someone embedded in a JSON field, hash for source verification, and the AI summarizer for digesting long-form sources.

Open the Hash Generator →

What it does for Data analysts and researchers

Generates MD5, SHA-1, SHA-256 and SHA-512 from the same input. The hashes are computed in the browser - the file never leaves.
Useful for verifying a downloaded dataset before you write your analysis against it (compare with the publisher's published hash).
For larger files the tool chunks them through a stream to avoid blowing up memory.

How to use it

Paste the text or drop the file in. Switch algorithms with one click if you picked the wrong one.
Wait for the result - SHA-512 on a large file is a perceptible wait, but it does not upload anywhere.
Copy the hash. The page shows all four algorithms side by side, so you can compare against any source.

Other tools Analysts reach for

Common questions

Which hash should I ask a data provider for?

SHA-256. If they publish MD5 or SHA-1 only, you can still catch an accidental corruption, but you cannot distinguish that from a deliberately altered file - which is the point of the check.

Why does the same file hash differently on two machines?

The bytes are not identical: line-ending conversion, a re-save or an added header all change the hash. Transfer in binary mode, then hash both sides before suspecting the data itself.

Does hashing anonymise personal data?

No. Hashing is one-way but deterministic, so the same input always produces the same output - it is pseudonymisation, not anonymisation. If you need to aggregate rather than hide, decide that before hashing.