Kudra automates document processing by extracting data from PDFs, emails, CSVs, DOCx, JPGs, and other formats. It converts unstructured data into structured, searchable outputs including entity fields, tables, relationships, and summaries. The platform focuses on workflows like loan underwriting, invoice processing, reconciliation, and financial reporting. Customizable models interpret documents within business rules and improve through continuous learning from team corrections. Users build pipelines with a workflow builder, access 50+ pre-built templates, and integrate via API. On-premise deployment, multi-region architecture, and 24/7 monitoring provide data control and uptime.
Saves hours on bulk PDF analysis.
Custom workflows for complex pipelines.
No‑code modular workflow builder.
50+ ready‑made extraction templates.
Supports scans, images, handwritten notes.
Integrates with Sheets, QuickBooks, Dropbox.
Template “models” mostly hidden GPT prompts.
Some users doubt long‑term LTD sustainability.
Generic models weak beyond accounting‑style tasks.
