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Free minutes are included. Upload a file or record audio to start.
Convert OGG to text on this page: choose an .ogg, .oga, .opus, or .mogg recording, and the workspace checks the container for a real Ogg Vorbis or Opus audio stream before it starts. Set the spoken language, run the transcription task, then review the words and timestamps, correct names and numbers, copy the passages you need, and download the edited transcript as TXT. Verified new accounts start with the current transcription-minute allowance, shown before you begin.
Dashboard
How do you want to transcribe?
Free minutes are included. Upload a file or record audio to start.
Verified accounts use the current Whisper AI transcription allowance. Audio is processed by the active cloud transcription provider, and finished tasks are saved in your recordings with the ogg-to-text source tag.
This is the expected edited result for our own 45-second English narration, encoded once as Ogg Vorbis and once as Ogg Opus. The speaker introduces the project, names the two codecs, and reads several figures. The timestamps show the editor view; a plain TXT export contains the text without them.
Source: original 45-second OGG narration (English, locally synthesized, Vorbis and Opus encodes)
Edited TXT result
Machine drafts can mishear names, numbers, and overlapping speech in compressed voice recordings, so replay each timestamp and correct the text before you publish or quote it.
Start from the OGG file itself and let the workspace verify the container and create a timestamped draft you can correct on this page.
Upload an .ogg, .oga, .opus, or .mogg file from this device, record audio in the browser, or import a supported public media URL. For an uploaded OGG file, the page reads the leading Ogg pages and confirms a Vorbis or Opus identification header before the task is created, so a renamed or truncated container is caught early; browser recordings and media URLs use the workspace's standard media checks.
When you know the spoken language, choose it before starting so the recognition pass is not guessing from a short sample. The workspace states the current minute and file-size limits and shows the credit cost against your balance. Nothing is generated until you start the task, so opening the page never spends transcription minutes.
The upload queue reports whether the file is a readable Ogg container and whether it carries an Ogg Vorbis or Ogg Opus stream. Files that are neither are marked as failed with a clear message instead of being sent to the provider, so you keep the original recording and can export a valid OGG.
OGG is common for handheld recorders, desktop editors, and voice messages, so the same review habits apply to short notes and longer conversations.
When the draft is ready, step through the timestamps and check names, numbers, product terms, and any passage affected by background noise or overlapping speech. Compression in voice recordings can soften consonants, so listen to the moment before you change a word.
Correct names, figures, acronyms, and specialist vocabulary directly in the transcript text. Your edits are saved with the task, and the exported file is built from the version you saved, so the download matches what you reviewed on screen.
An OGG file that contains no speech produces an empty or near-empty draft rather than invented words. If the recording is mostly music, a room tone, or silence, check the source file and re-record the spoken part instead of paying to transcribe it again.
Keep the corrected transcript with the task so the text you export is the text you approved, in the format the next step needs.
Select and copy the passages you need for notes, an article, or a summary without leaving the page. Keep the timestamps if you plan to quote the recording so a reviewer can find the original moment.
Download TXT for a plain, portable transcript, or use the workspace exports for DOCX, JSON, SRT, and VTT when the words need to become a document, structured data, or captions. Download after saving so the file matches the current version.
The finished task is stored in your recordings and tagged with its ogg-to-text source, so you can reopen it, compare the two codecs, or export again without starting a second transcription.
Comparison describes the checked pages at a high level. It does not repeat competitor pricing, ratings, certifications, or accuracy claims, and naming a product is not an endorsement.
| Decision factor | Whisper AI | Notta | Happy Scribe |
|---|---|---|---|
| Starting from an OGG file | Upload .ogg, .oga, .opus, or .mogg, record in the browser, or import a supported media URL from this page | Confirm the current OGG and Opus upload options on its live tool | Confirm the current OGG and Opus upload options on its live tool |
| Container and codec check | The Ogg container is read and the Vorbis or Opus stream is identified before the task can run | Confirm how the live tool handles renamed or unsupported containers | Confirm how the live tool handles renamed or unsupported containers |
| Editing before export | Fix wording, replay timestamps, copy passages, and keep edits saved with the task before downloading | An editor is offered; confirm which edits the current plan allows | An editor is offered; confirm which edits the current plan allows |
| Download formats | TXT download, plus DOCX, JSON, SRT, and VTT from the same transcript | Confirm the live export list and any plan gating | Confirm the live export list and any plan gating |
| Where the task lives | The finished task is saved in your recordings and tagged with its ogg-to-text source | Confirm how the live product stores and reopens projects | Confirm how the live product stores and reopens projects |
| Trying the workflow | Verified new accounts start with the current transcription-minute allowance, shown before the task runs | Check the current free and paid plan terms | Check the current free and paid plan terms |
Whisper AI is the strongest fit when you want to start from an OGG file, confirm that the container really holds a Vorbis or Opus stream before spending minutes, review the transcript and its timestamps in an editor, and download the edited text without switching to a separate workspace. Check each product's live terms before processing a long or confidential recording.
Yes. Choose your .ogg, .oga, .opus, or .mogg file in the workspace on this page, set the spoken language if you know it, and start the task. The page checks that the file is a readable Ogg container with a Vorbis or Opus audio stream, then produces a timestamped draft you can edit and download as TXT.
Yes. Both Ogg Vorbis and Ogg Opus are detected from the codec identification header inside the container, so you do not have to convert between them first. You can upload the device copy and the desktop copy as they are and get the same editable transcript workflow for each.
Yes. When the draft is ready, open it in the workspace, replay a timestamp, and correct names, numbers, and wording directly. Your edits are saved with the task, and the TXT or other export is built from the version you saved, so the download matches what you reviewed on screen.
The page reads the leading bytes instead of trusting the file extension. A file that is renamed to .ogg but does not start with an Ogg capture pattern is marked as failed in the upload queue with a clear message, so it never reaches the provider and you keep the original file.
An OGG file with no speech normally produces an empty or near-empty draft rather than invented words. If most of the recording is music, room tone, or silence, check the source and capture the spoken part again before spending more transcription minutes.
Yes, once a task has been created. Signing in, returning from a recharge, or refreshing restores the task and its status instead of starting a second transcription, so you are not charged twice. If a refresh happens before the task is created and the browser no longer holds the local file, choose the file again to start.
Written and checked by the Whisper AI Editorial Team · Last reviewed 2026-09-23 · Editorial policy