Re:Show HN: Documind – Open-source AI tool to turn documents...
by ajith-joseph on Monday November 18, 2024 @10:18AM
(#42173106)
This looks like a promising tool for working with unstructured documents! A few questions come to mind:
1) Data Accuracy: How do you ensure the extracted data aligns perfectly with the source? Are there specific safeguards or confidence scoring mechanisms in place to flag potentially inaccurate extractions, or is this left entirely to manual review?
2) Customization and Flexibility: Many real-world scenarios involve highly specific schemas or even multi-step extraction workflows. Does Documind allow for layered or conditional parsing where fields depend on the values of others?
3) Local Hosting for Confidential Data: Data confidentiality is a big concern for many businesses (e.g., legal or financial industries). While it's great that Documind is open source, do you have any built-in provisions or guides for secure local hosting, especially in resource-constrained environments?
Looking forward to seeing how this evolves—seems like a tool with great potential for streamlining document processing!
1) Data Accuracy: How do you ensure the extracted data aligns perfectly with the source? Are there specific safeguards or confidence scoring mechanisms in place to flag potentially inaccurate extractions, or is this left entirely to manual review?
2) Customization and Flexibility: Many real-world scenarios involve highly specific schemas or even multi-step extraction workflows. Does Documind allow for layered or conditional parsing where fields depend on the values of others?
3) Local Hosting for Confidential Data: Data confidentiality is a big concern for many businesses (e.g., legal or financial industries). While it's great that Documind is open source, do you have any built-in provisions or guides for secure local hosting, especially in resource-constrained environments?
Looking forward to seeing how this evolves—seems like a tool with great potential for streamlining document processing!