Data type
Audio upload
Upload WAV, MP3, and M4A sources into the durable processing pipeline from the live workspace.
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
- WAV audio
- MP3 audio
- M4A audio
Input constraints
- The container must be one of the currently declared audio formats.
User actions
- Open Add source in a project workspace.
- Choose an audio file and review the source preflight.
- Submit the source to the durable processing pipeline.
Outputs
- A durable project source with processing state and seekable audio.
Decision boundary
Where it fits
- Recorded interviews or discussions in WAV, MP3, or M4A.
Outside the boundary
Where it does not fit
- Unsupported audio containers without an explicit format addition.
Current scope
Limitations
- Audio containers outside WAV, MP3, and M4A require an explicit format addition.
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.