OGG to Text
The open container, from chat voice notes to Linux desktops, transcribed as it comes.

How does OGG to Text work?
Step 1: Upload or drop the file
Drag your .ogg (.oga read the same) into Speech to Text. Uploads up to 25 MB per file.
Step 2: A Whisper-class model transcribes
The audio goes to a Whisper-class model and the transcript comes back in the same view, usually within seconds.
Step 3: Copy, download, or save
Copy the text, download it as .txt, or save it to your library next to the source audio.
What is an OGG file?
OGG is the open-source world's audio container, home to the Vorbis codec and its modern successor Opus. No patents, no per-unit licensing, which is why it took root wherever software freedom is policy: Linux desktops, community projects, Wikipedia's spoken audio, and a long tail of games that shipped dialogue in it.
Lately the OGG files most likely to hold speech are voice notes. Several messaging apps store and export voice messages as Opus inside an OGG shell, sometimes with the .oga extension, because Opus is remarkably good at low-bitrate voice. Both extensions are read here, and the codec inside makes no difference to you.
Where .ogg voice files come from
- Chat exportsvoice messages pulled out of messaging apps commonly arrive as Opus in an .ogg or .oga file.
- Linux recording toolsstock sound recorders on the open-source desktops write OGG without being asked.
- Open projectscommunity podcasts and Wikimedia audio favor the container for its clean licensing story.
- Game audioa generation of titles shipped voice lines as OGG, and modders still trade files in it.
- Uploads up to 25 MB per file
- Reads .ogg, plus .oga read as the same format
- Output: plain text, as a copyable transcript or a .txt download
- No watermark, yours to keep
OGG to Text questions, answered honestly.
Can you convert an OGG voice message to text?
Is .oga the same as .ogg?
Opus or Vorbis: do I need to know which is inside?
Why do chat apps use OGG for voice notes at all?
Related formats.
Want the longer read? Open the Speech to Text guide in the docs.
Bring the file. Leave with the words.
Drop the recording into Speech to Text and read it back in seconds. Free to start, no credit meter.