How do I convert my OGV files to subtitles with automated transcription? 
Sonix uses the best speech-to-text algorithms to convert your video files (*.ogv) to subtitles. Just follow these six easy steps:
Step 1
Sign up for a free Sonix trial account—includes 30 minutes of free OGV to subtitles conversion.
Step 2
Upload the Ogg Video File file(s) (*.OGV) from your computer, Dropbox, Google Drive, or by dragging it on the page.
Step 3
Choose the language spoken in the uploaded OGV file. We support over 38 different languages including English, Spanish, German, and French. Then click the 'Start Transcribing Now' button.
Step 4
Sonix will then automatically transcribe the audio from your OGV file and convert it to a simple text format. Grab some tea, it will take only a few minutes.
Step 5
Use the Sonix AudioText Editor to polish your transcript before we convert it to a subtitle. It's like a word processor: simply type in your browser to correct any words.
Step 6
Click the 'Export' button. Choose either 'Subrip subtitle file (.srt)' or 'WebVTT file (.vtt)' from the dropdown to download the subtitle version of your OGV file. You can also adjust the character length and time duration length of each subtitle.
That's it! Your OGV file has now been converted to subtitles and is ready for the next step in your workflow!
Thousands of incredible customers create subtitles from their OGV files with Sonix 
Frequently Asked Questions for Ogg Video File (*.OGV) to subtitle 
What is a OGV file?
OGV files are video files that use the Xiph.Org's open source Ogg container format; may contain video streams that use one or more different codecs, such as Theora. OGV files are primarily used to play webpage video content (usually within video tags within the HTML5 spec). Xiph.Org have a DirectShow codec pack that enables software developers and content creators to include support for OGV files in both open-source and commercial applications. OGV files are a binary stream media container format that combines several codecs of texts, subtitles, audio and video data. OGV files are not called OGG Vorbis files; ‘Vorbis’ is reserved for OGG files which are audio-only files that use the ‘Vorbis’ compression algorithm.
Does Sonix transcribe video files with a *.OGV file extension?
Yes, Sonix does automatically transcribe video files with a .OGV file extension. Sonix is an online video to text converter. Convert any audio (mp3, m4a, wav, ...) or video (ogv, mp4, mov, avi, ...) file to text without installing any software! Sonix quickly and accurately transcribes *.OGV files and converts them to text in a subtitle format.
Know anyone who needs to convert Ogg Video File (.OGV) to subtitle?
We'd appreciate it if you tell them about Sonix—the best way to convert OGV to subtitle.
Other ways to convert your OGV video files with Sonix
OGV to text
Use the most accurate speech-to-text technology to convert files: OGV to text.
OGV to docx
Accurately transcribe your OGV file to Microsoft Word Format (docx) so you can bring the transcript into your workflow.
OGV to PDF
Easily transcribe your OGV file to Adobe's Portable Document Format (pdf) so you can share them with colleagues.
OGV to srt
Quickly create subtitles from your OGV files and save them as SRTs, one of the most widely supported subtitle formats.
OGV to VTT
Create more advanced captions for your OGV files by using the latest caption format VTT (Video Text Tracks).
OGV to captions
Quickly and easily create closed captions for your OGV files so you can embed them in your video files.
Add subtitles to OGV files
Quickly and easily add subtitles to your MP4 video files with the power of automated transcription.
Convert Ogg Video File to subtitles (SRT & VTT) with Sonix 
Sonix automatically transcribes and translates your audio and video files in over 38 languages. Easily search, edit, and share your media files. Sonix is an online, fully-automated speech to text service that quickly converts Ogg Video File files to subtitles. Fast, accurate, and affordable. Millions of users from all over the world.
Includes 30 minutes of free transcription
