From notes and exported reports to server logs and raw datasets, plain text files are widely used for information storage. This is because the TXT format remains one of the easiest ways to save readable data. Many people collect multiple text files over time; however, it can be tricky to manually join these files. To overcome this problem, you can merge TXT files automatically in Python. Automation makes it easier to organize scattered text data into a single file that is easier to review, archive, or share. In this guide, we will review a simple approach to combine TXT files in Python using a REST API. The API-based approach helps reduce manual effort and improve consistency.

Steps to Merge TXT Files Using Python

1. Import and set up GroupDocs.Merger Cloud SDK for Python
2. Initialize the DocumentApi with your API credentials
3. Set up the text files to join from the cloud storage using JoinItem
4. Configure the merging options with JoinOptions
5. Send a merger request using JoinRequest
6. Merge two TXT files using the join() method

Merging text documents can be done in just a few simple steps using the Python REST API. One of the main advantages of joining plain text files automatically is the flexibility. The cloud-based API is compatible with Windows, Linux, and macOS, making it suitable for use in scripts, web applications, or internal tools. Security is also improved because text files can be processed in a controlled cloud environment rather than scattered across different local systems. Overall, this approach simplifies the merging of TXT files, while Python provides an easy way to integrate the process into existing workflows.

Code to Merge TXT Files Using Python

Developers can merge TXT files programmatically and keep related information in one place using GroupDocs.Merger Cloud Python SDK. It helps automate log file merging and the processing of plain text documents without complicated code. Once integrated, the Python REST API-powered workflow runs consistently and can be reused whenever new files need to be merged. If you regularly work with text-based data, this approach delivers a reliable way to organize information and reduce repetitive file handling.

To explore merging other file types, please refer to our article on merging HTML files using a Python REST API. It walks you through programmatically combining multiple webpages in a similar manner.