Parsio

1. Hybrid OCR & NLP Architecture

• Vision-OCR layer: A convolutional neural network pre-trained on 2.7 million document images supports Latin and European languages, including handwritten text. The model is quantized for edge performance, so even large PDFs parse in seconds.
• Semantic-NLP layer: A transformer fine-tuned on 400 k business documents recognizes entities such as invoice numbers, due dates, or line-item totals. Confidence scores are surfaced so users can set thresholds for human review.

2. Template-Free vs. Template-Boosted Parsing

• Zero-shot extraction, where the AI predicts fields automatically.
• Template-boosted extraction, where highlighting one example teaches the model to generalize across similar layouts—ideal for standardized forms.

3. Continuous Learning Loop