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Generate MD5, SHA-1, SHA-256, SHA-512 and other cryptographic hashes from text input. Hashing runs entirely in your browser - no data is transmitted to the server.
Text Hash
Generate various hashes for the input text (MD5, SHA1, SHA256, and others).
| Algorithm | Hash |
|---|
What it is
Text hash is a unique fixed-length string obtained by mathematical transformation of input data. Even a tiny change in text will result in a completely different hash.
How it works
Enter any text in the input field. The tool will automatically calculate popular hashes (SHA-1, SHA-256, etc.) in real-time using the standard browser API (Web Crypto).
Examples
- Text "admin" (SHA-256):
8c6976e5b5410415bde908bd4dee15dfb167a9c873fc4bb8a81f6f2ab448a918 - Integrity check: compare the hash of a downloaded file with the reference to ensure the data hasn't been altered.
Limitations & notes
Calculations are performed locally in your browser using the Web Crypto API. Data is not sent to the server, ensuring complete privacy. Some older algorithms (e.g., MD5) are not supported by the standard API for security reasons.
FAQ
- Can a hash be decrypted? No. Hashing is a one-way mathematical function - it is designed to be irreversible. The only ways to find the original text are brute force (trying every possible input) or precomputed lookup tables (rainbow tables). This is why longer inputs and strong algorithms make hashes practically unbreakable.
- What is a hash collision? A collision occurs when two different inputs produce the same hash output. Since hash functions map infinite inputs to a fixed-size output, collisions theoretically exist for all algorithms. However, modern algorithms like SHA-256 make finding a collision computationally infeasible - it would require more energy than the sun produces in its lifetime.
- Which hash algorithm should I use? For general integrity checks, SHA-256 is the standard choice. MD5 and SHA-1 are considered cryptographically broken and should only be used for non-security purposes like checksums. For password storage, use dedicated algorithms like bcrypt or Argon2 instead of plain hashes.
- Why do small changes produce completely different hashes? This property is called the avalanche effect - even changing a single character in the input produces a completely different hash output. It ensures that similar inputs cannot be guessed from similar hashes, which is essential for security applications.