STRINGS to TXT Converter

STRINGS to TXT Conversion Explained

Converting .STRINGS to .TXT changes a structured Apple localization file into an unstructured plain text document. People convert strings to txt to extract human-readable text from application code. This allows non-technical users to read, review, or analyze the text without navigating programming syntax.

You gain universal compatibility, as any device can open a .TXT file. However, you lose the key-value structure (such as "login_button" = "Log In";) and developer comments. The main trade-off is readability versus usability in software development.

This conversion is a bad idea if you need to import the text back into an iOS or macOS app. Without the unique localization keys, the application cannot map the translated text back to the user interface.

Typical Tasks and Users

• Proofreaders and Copywriters: Reviewing app copy for grammar and tone without being distracted by code syntax.
• Project Managers: Extracting raw word counts to estimate translation costs and billing.
• Data Scientists: Feeding localized app text into machine learning models or natural language processing (NLP) pipelines.
• Cross-Platform Developers: Migrating legacy iOS apps to frameworks like Flutter or React Native, requiring raw text extraction to build new localization files.

Software & Tool Support

• .STRINGS files are natively supported and compiled by Apple Xcode.
• Localization management platforms like Crowdin, Lokalise, and Phrase parse .STRINGS natively and can export raw text.
• Command-line tools like plutil (built into macOS) can convert .STRINGS to JSON or XML, which developers can then parse into .TXT.
• Text editors like Visual Studio Code, Sublime Text, and Notepad++ can open both formats. However, extracting pure text requires manual regular expressions (regex) to strip keys, quotes, and semicolons.

Pros and Cons of the Conversion

Pros:

• Compatibility: .TXT opens natively on Windows, macOS, Linux, iOS, and Android without specialized developer tools.
• Simplicity: Removing developer syntax reduces confusion for non-technical reviewers.
• File Size: Stripping keys, punctuation, and comments slightly reduces the overall file size.

Cons:

• Structure Loss: The connection between the text and its specific location in the app is permanently destroyed.
• One-Way Process: You cannot automatically convert a plain .TXT file back into a working .STRINGS file without manual mapping.
• Context Loss: Developer comments (such as /* Label for the submit button */) are usually discarded during extraction.

Conversion Difficulties & Why Convert.Guru

Converting .STRINGS to .TXT is not as simple as renaming the file extension. Legacy .STRINGS files often use UTF-16 encoding. If a basic text editor assumes UTF-8, the file will render as corrupted characters (mojibake).

Additionally, .STRINGS files use escape sequences for formatting, such as \n for newlines or \" for quotes. A naive conversion leaves these escape characters intact, making the text difficult to read. Apple also supports multiline strings, which frequently break simple line-by-line extraction scripts.

Convert.Guru is a strong choice for this conversion because it handles the technical pipeline automatically. It detects the correct file encoding, safely parses the key-value pairs, resolves escape characters into actual formatting, and extracts the raw text into a clean .TXT file. You get accurate text extraction without writing regex or command-line scripts.

STRINGS vs. TXT: What is the better choice?

Which format should you choose?

Choose .STRINGS if you are actively developing an iOS, macOS, tvOS, or watchOS application. Apple requires this format (or its modern equivalent, String Catalogs) to compile localized interfaces.

Choose .TXT if you need to send raw text to a copywriter, run a standard spell-checker, or train a text model.

Avoid this conversion if you plan to translate the text and put it back into the app. Instead, use a dedicated localization platform or convert .STRINGS to .XLIFF (XML Localization Interchange File Format). .XLIFF preserves the structural keys while exposing the text safely for translation tools.

Conclusion

Converting .STRINGS to .TXT makes sense when you need to extract raw text for human review, word counting, or cross-platform migration. The biggest limitation to watch for is the permanent loss of localization keys, which makes the resulting file useless for direct app compilation. Convert.Guru is a reliable choice for this exact conversion because it correctly normalizes UTF-16 encodings, resolves escaped characters, and cleanly separates your text from the code syntax in seconds.