Context Capture

Already have the recording? Upload an existing audio file or transcript into SageOx — from the web app or your terminal. Audio gets transcribed; a transcript skips straight to insight extraction.

When to use this

This is the path for content you already captured somewhere else. The other capture mechanisms cover live and video sources.

You haveUse thisNot this
An MP3 exported from Zoom or a voice memoAudio + transcript upload
A VTT or SRT from Otter.ai, Zoom, or MeetAudio + transcript upload (skips transcription)
A discussion happening right nowConsole Recorderthis page
A screen recording or video walkthroughVideo importthis page

A pasted or uploaded transcript skips transcription but still runs through speaker handling and insight extraction.

Supported formats

TypeFormats
AudioMP3, WAV, M4A, OGG, FLAC, AAC
TranscriptVTT, SRT, TXT (skip transcription step)
Max size500MB

Uploading a transcript skips transcription entirely. If you already have an accurate transcript, upload it instead of the audio — extraction starts immediately and you skip the transcription wait.

Upload from the web app

The fastest path for a single file:

  1. Go to your team's Media section
  2. Click Upload
  3. Drag and drop an audio file or transcript, or browse for it
  4. Add a title and tag participants
  5. Confirm to start processing

Processing starts automatically. You'll see progress in the pipeline view, and you can assign speakers to team members once transcription finishes.

Upload from the CLI

Import directly from your terminal without leaving your editor:

terminal
# Upload an audio file
$
# Upload an existing transcript (skips transcription)
$
# Track processing progress
$

ox import accepts the same audio and transcript formats as the web app. See Import via CLI for all flags and options.

How processing works

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Audio uploads run the full pipeline. Transcript uploads enter at the insight-extraction step, since the text already exists. Either way, the extracted decisions and action items commit to your Team Context for your AI coworkers to read.

What's next