Data type
Video import
Import video and preserve audiovisual time anchors.
Implemented task
Public task
Open source actions and choose Add source.
Expected outcome: A validated source enters the durable revision and processing pipeline.
Declared product contract
Inputs and task boundary
Inputs
- Supported video file
Input constraints
- The current processing path analyzes the audio track, not video frames.
User actions
- Open Add source and choose a video.
- Submit it to the media processing pipeline.
- Review the time-anchored transcript and seekable source.
Outputs
- A durable video source with audiovisual time anchors and an audio-derived transcript.
Decision boundary
Where it fits
- Recorded video interviews where audio transcription is the analysis entry.
Outside the boundary
Where it does not fit
- Frame-level visual analysis.
Current scope
Limitations
- Video currently uses the audio transcription path; frame-level visual analysis is not implemented.
Verification
Product proof
journey
proof.m1-material-import
- Verified
- Review due
- Expires
- Eight public fixture formats enter the real source and revision pipeline.
- Exact locators and manual coding persist across refresh.
- Withdrawal previews impact and erases live database and stored objects.
Failure boundary: The proof does not claim M3 typed cases and variables or frame-level video analysis.
OpenVerbatim is an open-source (Apache-2.0) qualitative data analysis platform for coding and analyzing interview transcripts. AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail. The full feature set is available when self-hosted; there is no paid feature wall.