Create Czech subtitles

SRT (SubRip) is the most widely compatible subtitle format, supported by most video players and platforms. VTT (WebVTT) is the HTML5 standard that supports styling and positioning. Sonix exports both formats so you can use whichever works best for your platform.

After downloading your SRT file from Sonix, go to YouTube Studio, select your video, click 'Subtitles', then 'Add Language' and choose Czech. Click 'Add' under subtitles and upload your SRT file. YouTube will automatically sync the subtitles with your video.

Yes! Sonix provides precision timing tools in the editor. You can adjust start and end times for each subtitle line, set line breaks, and fine-tune synchronization. Changes are reflected in real-time as you watch the video.

Sonix delivers 85-99% accuracy for Czech transcription depending on audio quality. Our timing algorithm ensures subtitles appear at exactly the right moment. You can review and edit in our browser-based editor before exporting.

VTT format supports basic styling like bold, italic, and positioning. For more advanced styling (fonts, colors, backgrounds), you'll need to use your video editing software or the platform's subtitle customization features after uploading.

There's no limit on the number of subtitle files you can create. Sonix charges per minute of audio/video transcribed, not per export. Create as many subtitle files as you need from a single transcription.

Yes. Upload your Czech audio or video file, select Czech as the spoken language, and Sonix returns a transcript you can edit in the browser and export to formats like Word, SRT, and VTT.

Czech speech recognition is built around standard Czech, so regional dialects and colloquial Common Czech forms may need review. The Sonix editor syncs text to audio, making it straightforward to check and correct dialect passages.

Czech and Slovak are separate language selections in Sonix, so choose the language most of the recording is spoken in. For conversations that switch between the two, transcribing each file under its dominant language gives the cleanest starting point.