UX of Extracting accurate data from Tables
Led the user experience for a new table extraction workflow, introducing:
- Multiple extraction modes–
- - Table classification
- - Mixed classification
- - Table point extraction
- - Mixed point extraction
- Support for full-table and cell-specific extraction
- Confidence scoring to indicate extraction reliability
Designed interfaces to:
- Configure extraction type
- Preview confidence levels
- Evaluate outputs with precision/recall metrics
Users reported that the new workflow felt:
- “Clearer and more trustworthy”
- “Much easier to decide whether to accept or edit extractions”
Feedback highlighted how confidence scoring helped reduce anxiety around ML reliability.
0 likes · 0 views · Oct 14, 2025
UX of Extracting accurate data from Tables Led the user experience for a new table extraction workflow, introducing: - Multiple extraction modes– - - Table c...
