Document OCR & Field Extraction
Structured unstructured documents in, typed fields out.
- Client
- Confidential
- Year
- 2024
- Category
- AI
- Role
- Design + Build
- Timeline
- 3–5 weeks
The problem
Key data was locked in scanned documents and PDFs, re-keyed by hand. Slow, and every re-key is another chance to introduce an error.
What we built
OCR to lift the text, then a field-extraction layer that maps it to the fields that matter, each with a confidence score. A details view surfaces the low-confidence extractions for a human to confirm, so the pipeline is fast where it’s sure and careful where it isn’t.
The result
Documents become data on arrival, and the people who used to re-key them now just check the uncertain ones.
- typed values, not just raw text
- fields outtyped values, not just raw text
- per-field score routes review
- confidenceper-field score routes review
- only the uncertain pulls need a look
- human-in-looponly the uncertain pulls need a look
Built with
- Python
- OCR
- OpenCV
- FastAPI
- React
We deliver what we commit.
Tell us what you're trying to build.
We'll come back within 24 hours with honest feedback on scope, timeline and cost, whether or not we turn out to be the right fit.