Plain Text vs. Binary Data: File Formats in Automation

If you are diving into the world of workflow automation, you will inevitably have to work with files. You might need to extract data from a daily report, move a digital image to a cloud storage folder, or send a generated document via email to a client. However, automation software and computers process different types of files in very different ways.

Sometimes, you can effortlessly extract the exact words you need from a file. Other times, the software just sees an unreadable block of gibberish. Why does this happen? It all comes down to the fundamental difference between two primary types of digital information. To automate tasks successfully, you must understand the distinction between these two categories. Let’s break it down in detail.

How Computers Represent Data

To truly understand how files work, we have to look under the hood at basic computer architecture. At the lowest hardware level, computers do not understand letters, images, or videos. To a computer, everything must be broken down into a binary representation.

Computers use tiny electrical switches that can only be in one of two states: on or off. We represent these states as 1s and 0s. A single one or zero is called a bit. To represent data in a meaningful way, these bits are grouped together. In modern computing, standard systems use exactly 8 bits to make 1 byte. Because there are 8 bits per byte, a single byte can have 256 different possible combinations of ones and zeros (from 00000000 to 11111111).

When a computer saves a file, it is writing a long sequence of these bytes to a hard drive. Whether you are saving a short poem or a high-definition movie, the computer writes it as binary data. If you have a larger piece of data, the computer might use 4 bytes (32 bits) or more to store a single value. Every file is, at its core, a collection of bytes. The difference between different files is simply how the software is instructed to read, interpret, and display those bytes.

Understanding Plain Text

When bytes are meant to be read directly as readable characters (like letters, numbers, and punctuation marks), we call this plain text. This is the simplest and most universal way to store text data on a computer.

Unlike formatted text (which includes hidden code for bolding, italics, custom fonts, and colors), plain text is completely unformatted text. It contains absolutely no hidden styling. Because it is so simple and structured, it is incredibly easy for both humans to read and for computer programs to parse.

The Anatomy of a Text File

A text file is simply a container that holds plain text. Because this type of file is so lightweight and universally understood, it forms the backbone of the internet and modern computing.

If you look at the source code of any web page or application, it is written in a text-based format. Regardless of the programming language a programmer chooses to use, they write their instructions as plain text. The files they create are saved as raw text so that compilers and other developers can read them easily.

You encounter these files constantly in your daily work. Common examples include a basic .txt file, a .csv file used for storing rows of spreadsheet data, and a .json file used to transfer structured data between web applications. Because these files consist solely of characters, they can be opened and understood on virtually any device, whether you are using Windows, macOS, or older operating systems like DOS, Unix, or Linux.

How We Encode Text Data

If computers only understand numbers, how do they know that a specific byte represents the letter "A"? This is where character encoding comes in. To encode data, computers use a standardized lookup table.

In the early days of computing, the standard was ASCII (American Standard Code for Information Interchange). This was an 8-bit system that mapped numbers to English letters, digits, and control characters (like the "carriage return" command that starts a new line). In ASCII text, the number 65 always represents a capital "A".

However, ASCII was limited. It did not have enough room for global languages, special symbols, or emojis. Today, the world uses Unicode, a massive standard that can represent almost any character from any human language. The most popular way to encode Unicode is UTF-8, though some systems use UTF-16. UTF-8 is incredibly clever because it is backward compatible with ASCII, ensuring that older files still display perfectly on modern systems.

Delving into Binary

If a file is not meant to be read as plain text, it falls into the other major category: binary. While all files are technically made of binary data at the hardware level, in software terms, we use this word to describe files that require specific software to decode and display them.

What is a Binary File?

A binary file is composed of data that is not human-readable. If you try to open one, you will not see standard words or sentences. Instead, you are looking at raw binary data intended strictly for a machine to process.

The most common example is an executable file (often ending in .exe on Windows). An executable contains compiled machine code: instructions that the computer's processor runs directly. Other common examples include image files (like a .jpg or .jpeg), audio files, compressed archives, and heavily formatted document types. Because the type of file dictates how the bytes should be interpreted, a media player knows to turn the bytes of an MP3 into sound, while an image viewer knows to turn the bytes of a JPEG into colored pixels.

Exploring the Binary Format

The internal structure of a binary format is highly complex. While plain text files just contain one character after another, binary files can vary wildly depending on what they are designed to do.

To keep things organized, binary files may contain several specific sections:

1. The Header: This is a block of bytes at the very beginning of the file. The header acts as an ID card, telling the operating system exactly what kind of file it is, regardless of the file extension.

2. Metadata: This section stores information about the file. For a photograph, the metadata might contain the date the picture was taken, the camera model, and the GPS coordinates.

3. Data Structures: The main body of the file is organized into complex data structures dictated by the software that created it.

4. Raw Data: Finally, the file contains the actual payload, such as the exact color values for millions of individual pixels in an image.

When software saves a complex object (like a 3D model or a saved game) into a file, it uses a process called serialization to pack all this data tightly into a binary structure.

Why Use a Binary Approach?

You might wonder, if plain text is so easy to read and universal, why do we ever use a binary file? The answer comes down to speed and efficiency.

Plain text is incredibly inefficient for storing complex data. Imagine trying to describe every single pixel of a high-resolution photograph using words and numbers in a text file. The resulting file would be gigabytes in size and would take the computer a massive amount of processing power to read and render onto the screen.

By using a binary format, computers can store data in the most compact way possible. A computer can read a binary file and instantly map it directly into its memory without having to parse or translate text characters. For heavy workloads, executable code, and rich media, binary is the only practical choice.

Plain Text vs. Binary Data

When you are working with computers, it is essential to know exactly what kind of file you are dealing with. If you aren't sure whether a file is plain text or binary, there is a very simple way to find out: try to open the file and see what happens.

To do this, you can use a basic text editor. A text editor is a lightweight piece of software designed specifically to read unformatted text. A classic example is Notepad. If you right-click an unknown file and force your editor to open it, one of two things will happen:

• If you can read the data clearly (even if it looks like code or raw data), you are looking at plain text. You can freely edit the contents without breaking the file.

• If the screen fills with absolute gibberish like random symbols, blank spaces, and strange characters, you have opened a binary file. Because the editor is trying to force raw machine data to display as letters, it fails completely.

If a programmer needs to inspect the deep inner workings of a binary file, they will not use a text editor. Instead, they will use a hex editor. A hex editor displays the raw bytes of a file using hexadecimal (base-16) numbers rather than attempting to show them as text characters. This allows a developer to safely examine headers and metadata without corrupting the file's binary format.

The Best Format for Workflow Automation

So, how does all this technical knowledge apply to your daily work? When you are building a workflow using a visual automation platform like Monkedo, knowing the difference between these file types tells you exactly how to automate your tasks successfully.

Working with Plain Text in Automation:

Because plain text is readable, automation tools can read, dissect, and manipulate the information inside. You can use components to open a text-based file, extract specific lines of data, merge strings together, or search for a specific keyword. When you send an HTTP request to an API, the data you send and receive is almost always serialized into a plain text format like JSON. If you need your automation to actually read the data, you must use plain text.

Working with Binary Data in Automation:

Automation platforms cannot "read" binary files like a book. Instead, they treat them as a single, solid object. You use binary-specific components when you need to move, store, compress, or attach a file. For instance, if you want your automation to download an invoice from an email and upload it to a storage server, the automation doesn't read the invoice; it just picks up the binary file and drops it in the new location.

The Base64 Bridge:

Occasionally, you will run into a scenario where you need to send a binary file (like a profile picture) through a web API that only accepts plain text. To solve this, automation platforms use a clever trick called Base64 encoding. This process takes raw binary data and translates it into a massive, continuous string of plain ASCII text characters. Once the text string reaches its final destination, the receiving system decodes it back into the original image. This acts as the perfect bridge between the two distinct data worlds.

In summary, the rule of thumb is simple. If you need your software to process, calculate, or analyze the information inside a document, ensure it is saved in a plain text format. If you simply need your automation to move a file from point A to point B, you are working with binary. Mastering this concept will make designing, building, and troubleshooting your workflow automations infinitely easier.

How Monkedo Handles Plain Text and Binary Data?

When you are building workflows in Monkedo, you can seamlessly manage both file formats without needing to write any code. The components you need to handle these operations are generally found under the File category.

Let's look at the specific components designed to help you process binary files and plain text documents.

Working with Binary Data

Because binary files contain complex, compiled machine data, you cannot simply open them like a text document to view or copy their contents. Normally, the best way to handle a binary file is to pass the file itself from one step to the next.

However, there are times when a system cannot accept a direct file transfer and requires text instead. To solve this, Monkedo uses Base64, a format that translates binary data into a massive string of text. While this text looks like random, encrypted characters to a human, a computer can use it to reconstruct the file perfectly.

• Get Content as Base64: This component takes a binary file and converts its entire content into a Base64 text string. You can use this when you need to transmit a binary file's contents into a system that only accepts text inputs.

• Create File From Base64: This component does the exact opposite. If another application sends you a Base64 text string (for example, an image encoded as text), you provide that text to this component, and it will convert it back into the original binary visual file as an output.

Working with Plain Text

Plain text is much easier to read and manipulate. Monkedo provides dedicated components to read, extract, and generate these files effortlessly:

• Create File: This component takes a block of raw plain text and converts it directly into a text file, such as a .txt or .csv document, ready to be stored or shared.

• Get Content: This component reads a text file and outputs its entire contents as one continuous, complete text block.

• Get Lines: Instead of reading the file as one giant block, this component reads a text file and outputs the data as a structured list, where each line in the document becomes a separate list item. This is incredibly useful if you have a file containing data line by line (like product codes or email addresses). For example, if you want to send individual emails to a subscriber list, you can pass the output of this component into a loop component, and then connect it to an email-sending component to process each address one by one.

• Text List to File: If you already have a list of text items in your workflow (such as user records or extracted emails), this component takes that list, writes each item line by line into a single text document, and outputs the final file.

Outside of these specific file operations, the other components in the Monkedo platform are generally flexible and are not strictly limited to either plain text or binary data handling alone.

Using Plain Text and Binary Data in Automation

Understanding the fundamental difference between a plain text and a binary file is a major milestone in mastering workflow automation. Now that you know how plain text allows you to directly read, extract, and manipulate data, while binary files are handled as solid objects or encoded via Base64, you have the technical knowledge to process any document that comes your way.

The best way to truly cement this understanding is through hands-on practice. You can start testing these concepts and experimenting with our dedicated file-handling components today by building your own automated workflows in Monkedo!