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.

The short answer

Free plan: Only Base64.ai (Nanonets has paid plans only)
Public API: Both have one
Higher Trust score: Nanonets — 96 vs 90 for Base64.ai
Best fit: Base64.ai: Insurance, banking and logistics teams processing high volumes of mixed documents · Nanonets: Accounts payable teams pushing captured invoice data into SAP, NetSuite or QuickBooks
Status: Both up at our last check (Oct 16, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Base64.aiTurns documents, images and forms into labeled JSON through one API call, with over 3,000 pretrained document models

NanonetsDocument data extraction and workflow automation for back-office teams

Side by side

Fact	Base64.ai	Nanonets
Category	Computer Vision APIs	Entity Formation & Back Office
Pricing model	Freemium	Paid
Starts at	—	$100/mo
Public API	Yes	Yes
Trust score	90 / 100	96 / 100
Platforms	Web, API	Web, API
Company	Base64.ai, Inc.	Nanonets
Launched	2020	2017
Last verified	Oct 16, 2026	Oct 16, 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

Over 3,000 pretrained document models and dozens of 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