Extend vs Nanonets Document Intelligence

Extend is document-processing infrastructure for AI applications that need to parse, extract, classify, split or edit files. Workflows join processors into pipelines that can classify documents, route them, validate results and deliver output to a webhook. Parsing can produce clean Markdown or blocks for retrieval-augmented generation and agents, and the pricing page lists support for more than 35 file types across all plans. Developers can use an API, Python, TypeScript, Java and Go SDKs, a browser dashboard, a CLI or an MCP server. The CLI installation script works on macOS and Linux. Deployment choices are managed cloud, BYOC in a customer cloud account, and Hybrid; fully air-gapped deployment is not currently offered. Extend states that it is HIPAA and GDPR compliant, with controls aligned to SOC 2 Type II requirements. Pay As You Go is free with 10,000 credits, then $0.0125 per additional credit; Scale is $500 per month.

Nanonets Document Intelligence turns invoices, purchase orders, claims, contracts, and other documents into structured data for downstream workflows. It accepts PDFs, scans, photos, Word and Excel files, and email attachments without per-vendor templates. It can classify document types and split files containing multiple documents before extracting fields, tables, and line items. Field-level confidence scores help route uncertain values for human review. The product supports more than 100 languages, including mixed-script and handwritten documents, and exports JSON, Markdown, or CSV. It is available on the web, via API, or for deployment in a customer’s own VPC. Nanonets lists more than 25 native connectors, including Gmail, Outlook, Google Drive, Dropbox, SAP, Oracle, NetSuite, Salesforce, Slack, and Jira, as well as REST and webhook support. Starter is free with $50 in credits to start, then costs $100/month for 100 credits. Workflow block runs are priced at $0.02 per simple run, $0.10 per standard AI run, and $0.30 per complex AI run.