Improving Extraction Results

How can I improve the accuracy of data extraction in Docsumo?
To improve extraction accuracy, you can provide high-quality document samples, adjust field mappings, and train the AI model with diverse data sets. Detailed tips are available here.

What are the best practices for preparing documents for extraction?
Ensure documents are clear, high-resolution, and free from excessive noise or distortion. Clean, well-formatted documents yield better extraction results. For more preparation tips, visit this guide.

Can I customize the extraction fields in Docsumo?
Yes, Docsumo allows you to customize and define specific fields for extraction based on your business needs. This helps in focusing the extraction on relevant data. Learn how to customize fields here.

How does field mapping impact extraction results?
Field mapping helps the AI model recognize and extract the correct data points from documents. Accurate mapping improves data accuracy and reduces errors. For more information, see this page.

What is confidence scoring, and how does it help improve extraction results?
Confidence scoring indicates the AI model's certainty about the accuracy of extracted data. Reviewing and adjusting low-confidence fields can significantly improve overall results. More on confidence scoring here.

How can I handle low-confidence extractions in Docsumo?
Low-confidence extractions should be reviewed manually to verify and correct the data. You can also retrain the model with additional samples to improve confidence. Learn more here.

What role does sample variety play in improving extraction results?
Providing a variety of document samples helps the AI model learn and adapt to different formats and structures, improving its ability to extract data accurately across diverse documents. Details on sample variety can be found here.

How do I retrain the AI model to improve extraction results?
You can retrain the AI model by providing additional samples and refining field mappings. Regularly updating the model with new data helps maintain and improve extraction quality. For retraining steps, visit this guide.

What should I do if extraction results are inconsistent?
If results are inconsistent, review the document quality, field mappings, and confidence scores. Providing more consistent and diverse samples can help improve the AI model's performance. See troubleshooting tips here.

Can Docsumo handle complex document layouts?
Yes, Docsumo is capable of handling complex document layouts, but achieving optimal extraction may require additional training and field customization. Learn how to optimize for complex layouts here.