From Chaos to Clarity: Building the DD-214 Parser the Right Way
By Team Valor AI · December 12, 2024
The DD-214 parser has one job: translate separation paperwork into structured data you can use instantly. Here is how we made it smarter and more resilient.
Highlights
- Layout detection understands rotated scans, multi-page spreads, and low-contrast text.
- Field-level confidence scores make it obvious when a value might need human review.
- Error recovery catches incomplete uploads, prompts for re-scans, and protects downstream workflows.
- Continuous tuning feeds real-world corrections back into the model to improve accuracy weekly.
Why it matters
Service records are critical for benefits calculations. Better parsing means faster decisions and fewer manual transcription errors.
How to try it
- Open the DD-214 parser and upload a variety of sample documents.
- Compare parsed values with the original PDF to see confidence scoring in action.
- Export the structured JSON to review how we map fields for downstream systems.
Screenshots to capture
- Parser results table with confidence scores.
- Error state prompting a re-upload with guidance.
- JSON export preview showcasing structured output.