Documentation
Context Capture

Upload via web

The fastest way to get recordings into SageOx. Upload local files or paste URLs from Loom, Figma, and Cap.

Upload a file

Upload dialog with drag-and-drop area

  1. Go to your team's Media section at sageox.ai
  2. Click Upload
  3. Drag your recording into the upload area (or click Browse Files)
  4. Add a descriptive title — this is how coworkers and AI coworkers find your recording

Processing starts automatically.

Import from URL

For Loom, Figma, and Cap recordings:

  1. Go to your team's Media section
  2. Click Import
  3. Paste the share URL
  4. Add a descriptive title

SageOx downloads the video server-side and processes it automatically. No need to download and re-upload.

Supported formats

File upload

TypeFormats
VideoMP4, WebM, MOV, MKV
AudioMP3, WAV, M4A, OGG, FLAC, AAC, WMA
TranscriptVTT, SRT, TXT, DOCX (skips transcription)

URL import

SourceURL pattern
Loomloom.com/share/...
Figmafigma.com/...
Capcap.so/...

Limits

LimitValue
Max file size500 MB
Batch uploadUp to 20 files
Recommended sizeUnder 100 MB for fastest processing

Smaller files process faster. 720p at 15fps is the sweet spot. See Cap Setup for optimal recording and export settings.

What happens after upload

SageOx automatically:

  1. Extracts audio and transcribes with speaker identification
  2. Detects scene changes and extracts representative keyframes
  3. Analyzes keyframes for UI elements, code, and visual context
  4. Generates a summary with chapters, decisions, and action items
  5. Commits artifacts to your Team Context

You can track progress in the pipeline view. Processing typically completes within a few minutes.

How recordings get used

Coworkers and AI coworkers do not watch videos every time — they read the structured output:

  • Transcript text for searchable narration

  • Keyframe descriptions for visual context

  • Summaries for decisions and action items

  • In assistant-mode, MCP-connected assistants can search the transcript, summary, and visual context.

  • In code-mode, repo-based AI coworkers can reference the recording while implementing features or explaining decisions.

  • In the web app, humans can open the source recording, transcript, and keyframes directly.

What's next