Fields & TablesSchema Management
Improving Schemas with AI
Use AI to automatically improve your field configuration
Improving Schemas with AI
You can use AI to automatically improve your Fields & Tables configuration. The AI will:
- Correct data types (e.g. change "string" to "date" for date fields, "string" to "number" for amounts)
- Improve descriptions to help extraction accuracy
- Keep all field names and structure the same (only improves types and descriptions)
Where to improve
- Open your parser and go to Settings → Fields & Tables.
- Click Improve this schema using AI (top right, next to "Export Schema").
- The AI analyzes your schema and makes improvements.
- Review the changes and click Save Fields if you're happy with them.
What the AI improves
- Data types: Changes field types to match the field name and purpose (e.g. "invoice_date" → Date, "total_amount" → Number)
- Descriptions: Adds or improves descriptions to help the AI extract data more accurately
- Field names: Not changed – all field names stay exactly the same
- Structure: Not changed – tables stay as tables, fields stay as fields
What the AI does not change
- Field names – All names stay exactly as they are
- Field structure – Tables remain tables, fields remain fields
- Required settings – Required field settings are preserved
- AI extraction settings – Enable/disable AI extraction settings are preserved
After improving
- Review the changes the AI made (check field types and descriptions).
- If you're happy, click Save Fields.
- You may want to re-process existing documents so they use the improved schema (especially if data types changed).
Tips
- Review changes: Always check what the AI changed before saving
- Test first: Consider testing on a copy of your parser if you're unsure
- Re-process: After improving, re-process a few documents to see if extraction is better
- Use for new parsers: AI improvement is especially helpful when setting up a new parser
When to use AI improvement
- New parser: When you've just created a parser and want to optimize it
- Type corrections: When you notice fields have wrong types (e.g. dates as text, amounts as text)
- Better descriptions: When you want more helpful descriptions for extraction
Next steps
- Exporting Schemas – Backup your schema before improving
- Add/Edit Fields – Manually adjust fields after AI improvement
How is this guide?