Create Norwegian 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 Norwegian. 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 Norwegian 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.

Automated Norwegian transcripts generally follow Bokmål written conventions, since Bokmål is the more widely used written standard. You can edit the transcript into Nynorsk in the Sonix editor before exporting.

Yes — you upload your audio, Sonix transcribes it, and you can correct any dialect-specific passages in the editor. Speech closer to standard Eastern Norwegian typically needs fewer corrections than heavier regional dialects.

Choose the language actually being spoken. Written Norwegian and Danish look similar, but their pronunciation differs substantially, so selecting the correct language gives the speech model the right acoustic match.