Base64.ai is a multi-model document AI platform that extracts, classifies, and verifies data from any document type.
Base64.ai combines OCR, computer vision, and language models to process documents end to end: classification, extraction, validation, and fraud checks. It covers IDs, passports, checks, invoices, bank statements, and forms across hundreds of document types, exposing everything through a single API and a no-code demo interface. Verification features such as face comparison and liveness checks make it popular in fintech onboarding flows.
The platform’s breadth is the selling point: one integration covers IDs, checks, invoices, and forms, with each document type handled by purpose-tuned models. Fraud checks such as tamper detection and face match add a verification layer that pure extraction tools lack.
The verification features make Base64.ai popular in regulated flows: identity documents are extracted and checked against selfies, and checks and statements process with fraud indicators. One integration replaces several point solutions in onboarding stacks.
Base64.ai offers a free trial with processing credits. Paid plans are usage-based per document with enterprise volume pricing.
Fintechs, insurers, and KYC providers that need one integration for many document types plus identity verification.
A free trial is available; production usage is billed per document.
Yes, the platform is API-first with SDKs and webhooks for automated document workflows.
Where parsers like Reducto focus on RAG ingestion, Base64.ai targets transactional workflows like onboarding and verification.
Most documents process in a few seconds, fast enough for live onboarding flows.
Yes, Base64.ai provides a no-code demo interface where you can upload documents and see extraction results immediately.
Multi-language document support covers major global languages for IDs and financial documents.
Usage is billed per document processed, with volume tiers for enterprises.
Yes, identity document extraction and face verification are built for onboarding flows.
Accuracy is high on standard documents, with confidence scores flagging uncertain fields.
Over a hundred types including IDs, passports, checks, invoices, and bank statements, each handled by purpose-tuned extraction models.