Nanonets

Automatically extracts structured data from invoice documents including line items, amounts, dates, vendor information, and tax details. Uses OCR and machine learning to handle varying invoice formats, poor image quality, and handwritten annotations.

Extracts merchant name, transaction amount, date, item details, and payment method from receipt images and PDFs. Handles poor quality photos, faded text, and various receipt formats from different retailers.

Allows users to train custom extraction models by providing sample documents and field mappings. Iteratively improves model accuracy through feedback and additional training data.

Processes documents in multiple languages, automatically detecting language and applying appropriate OCR and extraction rules. Supports mixed-language documents.

Maintains detailed audit logs of all document processing activities including who accessed documents, what data was extracted, and when changes were made. Supports compliance requirements.

Automatically categorizes incoming documents by type (invoice, receipt, purchase order, contract, etc.) using machine learning. Routes documents to appropriate processing pipelines based on classification.

Extracts data from structured and semi-structured forms including checkboxes, text fields, signatures, and tables. Handles various form layouts and automatically maps fields to database columns or API endpoints.

Recognizes and extracts handwritten text from documents, forms, and notes with high accuracy. Handles various handwriting styles, ink colors, and document conditions.

Processes multiple documents in bulk, applying the same extraction rules and workflows to hundreds or thousands of documents simultaneously. Provides progress tracking and error reporting.

Chains multiple document processing steps together into automated workflows without code. Includes conditional logic, error handling, and integration with external systems via Zapier and Make.

Uses pre-built templates for common document types (invoices, receipts, purchase orders) to enable immediate extraction without custom training. Supports customization of templates for specific needs.

Validates extracted data against business rules, checks for completeness, and flags suspicious or missing values. Provides quality scores and confidence metrics for each extraction.

Provides REST API and webhook support for integrating document processing into custom applications and workflows. Enables real-time document submission and result retrieval.