Create Chinese (Mandarin) 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 Chinese (Mandarin). 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 Chinese (Mandarin) 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 Mandarin audio or video file and Sonix generates a timestamped transcript in Chinese characters, which you can edit in your browser and export to formats like DOCX, PDF, and SRT.

No — Mandarin and Cantonese are distinct spoken languages, so a Mandarin model will not accurately transcribe Cantonese speech. Confirm which language your recording uses before you upload.

Occasional English names and terms are common in Mandarin business and tech audio. Automated transcription works best when one language dominates the recording, and you can correct mixed-language segments in the transcript editor.