Convert TXT_QUICKTIME Subtitles to JSON Format

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About TXT_QUICKTIME

QuickTime Text, often called QTText, is Apple's native format for creating text tracks in QuickTime videos. It's a simple text file that can include timestamps and some basic styling descriptors using text-based tags. It was commonly used for adding subtitles, chapter markers, and other timed text to videos within the Apple ecosystem.

About JSON

JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. While not a traditional subtitle format itself, it is an excellent way to store and transmit structured subtitle data. Each subtitle cue can be an object with properties for start time, end time, text content, and any custom metadata.

TXT_QUICKTIME vs JSON

FeatureTXT_QUICKTIMEJSON
Styling Supportfalsetrue
Positioning Supportfalsetrue
Animation Supportfalsetrue
Learning Curvebeginnerintermediate
Quality Rating24
Patent Statusproprietaryopen standard
Year Introduced19992001

Frequently Asked Questions

Does QuickTime Text work outside of Apple products?

Support for QTText is very limited outside of the Apple ecosystem. Players like VLC may have some support for it, but in general, it is not a portable format. For cross-platform compatibility, it's much better to use a universal format like SRT.

Can I style QuickTime Text subtitles?

Yes, QTText supports some basic text styling. You can add descriptors in the file header to define a font, size, and color, and use tags within the subtitle text to apply styles like bold or italic. However, the styling is much more limited than formats like VTT or ASS.

Can a media player play a JSON subtitle file?

No, standard media players like VLC or QuickTime cannot directly play a JSON file as a subtitle track. JSON is a data format that would need to be processed by a custom web application or script to display the subtitles over a video.

Why would I convert subtitles to JSON?

Converting subtitles to JSON is extremely useful for web developers and data processing. It allows you to easily load subtitle data into a web application, manipulate it with JavaScript, integrate it with other APIs, or store it in a database in a structured way.

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