Skip to content
effecthub

Base64.ai vs Nanonets

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Nanonets publishes a starting price ($100); Base64.ai does not. Only Base64.ai has a free tier. Both ship a public API.

Base64.aiTurns documents, images and forms into structured JSON, with roughly 2,800 pretrained document types includedNanonetsDocument data extraction and workflow automation for back-office teams

Side by side

FactBase64.aiNanonets
CategoryComputer Vision APIsEntity Formation & Back Office
Pricing modelFreemiumPaid
Starts at—$100 month
Public APIYesYes
PlatformsWeb, APIWeb, API
CompanyBase64.ai, Inc.Nanonets
Launched—2017
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Base64.ai

Unusually broad for a document extraction API: the pretrained model library means most common forms work on day one, and the verification add-ons cover the fraud and identity checks that usually need a second vendor. Deployment on-premises is a real option. What it will cost you is the open question, because the pricing page lists features per tier without any numbers attached.

Pros

  • Around 2,800 pretrained document types and 50-plus supported file formats
  • REST API plus no-code form and injection routes for non-developers
  • PII redaction, signature verification and facial verification built in
  • Cloud or on-premises deployment with prebuilt RPA integrations

Cons

  • The pricing page lists tier contents but almost no prices
  • Annual plans starting at 1,000 pages a month set a floor that rules out light use
  • Accuracy and speed figures on the site are vendor claims with no methodology given

Nanonets

The right pick when your bottleneck is genuinely messy paperwork at volume — invoices, POs, bills of lading — and you need audit trails plus an ERP write-back, not a chat window that reads one PDF. If you handle a few dozen documents a month, a general-purpose model does the same job for pennies.

Pros

  • Per-run pricing with no seat licences, so adding reviewers does not raise the bill
  • Credits are pooled across the team and never expire
  • Long connector list: SAP, NetSuite, QuickBooks, Xero, Salesforce, Snowflake, plus email and cloud-storage intake
  • Compliance and deployment options (HIPAA, SOC 2, private cloud, US/EU/APAC residency) most IDP startups do not offer

Cons

  • Once the $50 trial credits run out the entry tier is $100/month
  • Classification AI, generative blocks and ERP connectors sit behind the quote-only Growth tier
  • Cost is hard to forecast until you know how many blocks your workflow actually fires
  • Accuracy marketing leans on the vendor's own leaderboard, which is worth retesting on your documents

Which one fits

Choose Base64.ai if you need

  • Insurance, banking and logistics teams processing high volumes of mixed documents
  • Workflows that need signature or identity verification alongside extraction
  • Organisations that must keep document processing on their own infrastructure

Choose Nanonets if you need

  • Accounts payable teams pushing captured invoice data into SAP, NetSuite or QuickBooks
  • Logistics and trade ops handling bills of lading and customs paperwork
  • Regulated buyers who need HIPAA/SOC 2 plus on-prem or regional data residency
  • Processes that require human approval gates on low-confidence fields

More comparisons

Browse all Computer Vision APIs →