Nanonets is an advanced document workflow automation platform designed for enterprises and growing businesses looking to eliminate manual data entry. By leveraging specialized AI agents, the platform extracts unstructured data from various documents—such as invoices, receipts, insurance claims, and purchase orders—and converts it into highly accurate, structured formats. This automated approach is particularly beneficial for finance, operations, and logistics departments that handle heavy volumes of paperwork daily. Beyond simple data extraction, Nanonets seamlessly validates and synchronizes the processed information with existing systems of record, including major ERPs and CRMs like SAP and Salesforce. The tool's ability to handle complex, messy documents with high precision reduces processing times and minimizes human error. It serves as a bridge between legacy paper trails and modern digital databases, allowing teams to streamline their accounts payable, order management, and administrative workflows without writing custom code.
Problem: Validating incoming logistics documents against legacy ERP records is slow.
Solution: Uses autonomous agents to read, match, and post document contents directly to ERPs.
Example: A manufacturer uses Nanonets to match delivery bills with QuickBooks POs.
Problem: LLM developer pipelines struggle to extract nested table details from flat PDFs.
Solution: Preserves tabular records and outputs highly accurate markdown tables.
Example: A research team extracts statistical tables from old financial filings.
Problem: Reviewing government identity documents manually during merchant onboarding delays account activation.
Solution: Extracts visual information and runs automatic identity compliance checks.
Example: A payment gateway validates driver licenses automatically within their onboarding setup.
Target audience: Best for: Accounts payable leaders, Operations directors, Systems engineers
Pricing: Open Source · Categories: Finance, Low-code/No-code, Productivity
Tags: ai agent, API, finance, low-code/no-code, productivity
Nanonets is an AI document processing platform designed to extract structured information from unstructured business paperwork. It processes documents such as invoices, receipts, purchase orders, and identity cards. The platform provides automated layout parsing, real-time exception alerts, and integrations with enterprise systems like SAP, Salesforce, and QuickBooks, enabling operations and finance teams to eliminate manual document entry.
Nanonets is listed with an open source pricing model. This allows developers, systems engineers, and organizations to access and utilize the framework for document processing workflows without proprietary platform fees. For specific licensing terms, deployment repositories, or enterprise support options, users can review the official project documentation and resources on the Nanonets website.
Nanonets connects directly with standard enterprise resource planning and customer relationship management platforms. Document data can be synced with software like SAP, Salesforce, and QuickBooks. In addition to standard enterprise connections, the platform provides developer SDK tools and documentation to help technical teams integrate data extraction outputs directly into internal databases and custom software pipelines.
Nanonets includes layout parsing features specifically built to preserve complex document structures. When processing documents like financial statements, research papers, or logistics delivery bills, the tool identifies tabular records and converts nested table elements into structured formats such as markdown tables. This enables downstream applications, including language model pipelines, to read structured tabular data accurately without losing context.
Yes, Nanonets supports automated identity verification tasks such as merchant or customer onboarding. The system extracts visual and text information from government-issued identity documents, including driver licenses. It performs automated compliance checks to ensure credentials match required criteria, allowing operations teams to accelerate verification workflows and reduce manual administrative delays during user account activation.