Traditional Approach
Find the right OCR model, come up with a chunking strategy, label a ground truth dataset, write your own evals, define the right schema, and handle mountains of edge-cases. Then start over again when your model fails to extract the data you need.
Accuracy
~85%
Ship in
6 months


