Structured Data Extraction
Structured Output
See how Schma extracts structured data from natural speech using JSON schemas. Perfect for form filling, data collection, and content processing with real-time validation.
Try it yourself! You can speak naturally, use your phone with something that is pre-recorded, or just get something playing on youtube.
Summary
One-paragraph, plain-English synopsis of the session.
Topics
Thematic buckets discussed, preferably ordered by time or importance.
Action Items
Tasks with owner, due date, and acceptance criteria.
Decisions
Final, committed choices with context and timestamped evidence.
Risks
Potential issues, likelihood/impact, and proposed mitigations.
Next Steps
Immediate follow-ups people agreed to take after this session.
Sentiment
Overall and per-speaker sentiment with notable swings.
Entities
People, companies, products, and other named entities mentioned.
Key Quotes
Direct quotes worth citing, with exact timestamps.
Open Questions
Questions that remain unresolved or require research.
Assumptions
Implicit beliefs driving decisions; flag those needing validation.
Contradictions
Statements that conflict across speakers or over time.
Live Transcript
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