**About AWFileHash**

AWFileHash is a powerful open-source library that provides an easy way to calculate the hash value of files on iOS and macOS platforms. It allows you to generate hash values for files using popular algorithms like SHA1, SHA256, MD5, and more.

With AWFileHash, you can verify and compare the integrity of files, detect duplicates, and ensure data security. It enables you to implement efficient file checking mechanisms, file syncing, and content identification with ease.

**Key Features**

– Supports various hash algorithms including SHA1, SHA256, MD5, and more.
– Simple and intuitive API for easy integration into your iOS and macOS projects.
– High-performance hashing with optimized algorithms for efficient operations on large files.
– Supports both file-based and data-based hashing.
– Ability to calculate hash values in the background using GCD (Grand Central Dispatch).
– Provides error handling for exceptional cases and handling of corrupted files.
– Well-documented code with detailed code examples and usage instructions.


To install AWFileHash, you can use CocoaPods, a popular dependency manager for iOS and macOS projects. Follow the steps below to add AWFileHash to your project:

1. Open your project’s Podfile.
2. Add the following line to your Podfile: (replace `` with your project’s target name)

pod ‘AWFileHash’, ‘~> 1.0’

3. Save the file and run the `pod install` command in the terminal.
4. Once the installation is complete, make sure to open the `.xcworkspace` file for your project.

Alternatively, you can manually install AWFileHash by following these steps:

1. Download the latest release of AWFileHash from the GitHub repository.
2. Extract the downloaded zip file.
3. Copy the `AWFileHash` folder into your Xcode project.
4. Make sure to select “Copy items if needed” and choose your project’s target.
5. Click Finish to complete the installation.


AWFileHash provides a straightforward and convenient API for calculating hash values. Follow the code snippets below to get started:

**Hashing a file**

import AWFileHash

// Create an instance of AWFileHash
let fileHash = AWFileHash()

// Calculate the hash value for a file
if let filePath = Bundle.main.path(forResource: “example”, ofType: “txt”),
let hashValue = fileHash.hashFile(atPath: filePath, algorithm: .sha256) {
print(“File hash value: \(hashValue)”)

**Hashing data**

import AWFileHash

// Create an instance of AWFileHash
let fileHash = AWFileHash()

// Calculate the hash value for data
if let data = “Example Data”.data(using: .utf8),
let hashValue = fileHash.hashData(data, algorithm: .md5) {
print(“Data hash value: \(hashValue)”)

By default, AWFileHash uses the SHA1 algorithm for hashing. However, you can choose from various algorithms such as SHA256, MD5, and more by specifying the desired algorithm in the `algorithm` parameter.

**Error Handling**

AWFileHash provides error handling to handle exceptional cases. When an error occurs during the hash calculation, an instance of `AWFileHashError` is thrown. You can catch the error and handle it accordingly.

**Example Error Handling**

import AWFileHash

// Create an instance of AWFileHash
let fileHash = AWFileHash()

do {
// Attempt to calculate the hash value
try fileHash.hashFile(atPath: “invalid_path”, algorithm: .sha256)
} catch let error as AWFileHashError {
print(“Hashing Error: \(error.localizedDescription)”)

You can catch the specific error type `AWFileHashError` to handle any hashing-related errors and provide appropriate feedback or fallback methods in your code.


AWFileHash is a versatile library that simplifies the process of calculating hash values for files in iOS and macOS projects. With its easy-to-use API, you can effortlessly integrate hash functionality into your applications and enhance data integrity and security.

Whether you need to validate file content, compare integrity, or ensure data security, AWFileHash provides the necessary tools to perform efficient and accurate hashing operations. Start using AWFileHash in your projects today and streamline your file processing tasks.