Convert JSON objects to base64 strings with file processing
Encode JSON to Base64 String in n8n
This example workflow demonstrates how to convert a JSON object into a base64-encoded string using n8n’s built-in file processing capabilities. This is a common requirement when working with APIs, webhooks, or SaaS integrations that expect payloads to be base64-encoded.
> Tip: The three green-highlighted nodes (Stringify → Convert to File → Extract from File) can be wrapped in a Subworkflow to create a reusable Base64 encoder in your own projects.
🔧 Requirements
- Any running n8n instance (local or cloud)
- No credentials or external services required
What This Workflow Does
- Generates example JSON data
- Converts the JSON to a string
- Saves the string as a binary file
- Extracts the file’s contents as a base64 string
- Outputs the base64 string on the final node
Step-by-Step Setup
-
Manual Trigger
Start the workflow using theManual Executionnode. This is useful for testing and development. -
Create JSON Data
TheCreate Json Datanode uses raw mode to construct a sample object with all major JSON types: strings, numbers, booleans, nulls, arrays, nested objects, etc. -
Convert to String
TheConvert to Stringnode uses the expression={{ JSON.stringify($json) }}to flatten the object into a single string field namedjson_text. -
Convert to File
TheConvert to Filenode takes thejson_textvalue and saves it to a UTF-8 encoded binary file in the propertyencoded_text. -
Extract from File
This node takes the binary file and extracts its contents as a base64-encoded string. The result is saved in thebase64_textfield.
Customization Tips
- Replace the sample JSON in the
Create Json Datanode with your own payload structure. - To make this reusable, extract the three core nodes into a Subworkflow or wrap them in a custom Function.
- Use the
base64_textoutput field to post to APIs, store in databases, or include in webhook responses.
n8n Workflow: Convert JSON Objects to Base64 Strings with File Processing
This n8n workflow demonstrates how to process JSON data, convert it into a Base64 encoded string, and then extract it back from a Base64 encoded file. It's a useful pattern for handling binary data within JSON structures or for secure data transfer.
Description
This workflow provides a clear example of how to manipulate data using n8n's core nodes. It starts with a simple JSON object, encodes it into a Base64 string, encapsulates it as a file, and then reverses the process to extract the original JSON object. This can be adapted for various use cases involving data serialization, de-serialization, or handling binary content.
What it does
- Manual Trigger: Initiates the workflow manually for testing and demonstration purposes.
- Edit Fields (Set): Defines an initial JSON object with a
datafield containing a simple string. This node also sets afileNamefield for the subsequent file operations. - Convert to File: Takes the JSON object from the previous step and converts it into a Base64 encoded string, storing it as a binary file. The
fileNamefield is used to name this binary file. - Extract from File: Decodes the Base64 file created in the previous step and extracts its content, making the original JSON object available again in the workflow.
Prerequisites/Requirements
- An n8n instance (self-hosted or cloud).
- No external API keys or credentials are required as this workflow uses only core n8n nodes.
Setup/Usage
- Import the workflow:
- Copy the provided JSON code.
- In your n8n instance, go to "Workflows" and click "New".
- Click the three dots next to the workflow name and select "Import from JSON".
- Paste the JSON code and click "Import".
- Execute the workflow:
- Click the "Execute Workflow" button on the "Manual Trigger" node.
- Observe the output of each node to see the data transformation steps:
- "Edit Fields" will show the initial JSON object.
- "Convert to File" will show the binary data (Base64 encoded string) as a file.
- "Extract from File" will show the re-extracted, original JSON object.
- Customize:
- Modify the JSON data in the "Edit Fields" node to experiment with different input data.
- Integrate this pattern into larger workflows where you need to encode or decode data for storage, transmission, or processing.
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