super.AI
Data labeling software
OCR software
Intelligent document processing (IDP) software
Process automation software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$500 per month
Free TrialFree version
Small
Medium
Large
- Retail and wholesale
- Information technology and software
- Media and communications
What is super.AI
super.AI is an intelligent document processing platform that combines OCR, document understanding, and human-in-the-loop review to extract structured data from unstructured documents. It is used by operations, data, and automation teams to process items such as invoices, receipts, forms, and other business documents and route results into downstream systems. The product emphasizes configurable extraction workflows, quality controls, and exception handling rather than only providing raw OCR output. It also supports data labeling and model improvement loops for document AI use cases.
Human-in-the-loop quality controls
The platform is designed around review and correction steps to handle low-confidence fields and edge cases common in real-world documents. This approach can improve accuracy and consistency compared with fully automated OCR-only pipelines. It also supports auditability by capturing corrections and review outcomes. These controls are particularly relevant for regulated or high-volume back-office processes.
Document-centric extraction workflows
super.AI focuses on end-to-end document extraction workflows, including classification, field extraction, validation, and exception handling. This aligns with IDP deployments where teams need structured outputs and operational routing, not just labeled training data. Workflow configuration helps standardize processing across document types and business units. The product therefore fits operational automation scenarios in addition to ML development.
Labeling and feedback loop
The product supports creating and curating labeled data as part of improving document models over time. This can reduce the gap between initial deployment and ongoing model maintenance by turning corrections into training signals. It is useful for teams that want to operationalize continuous improvement rather than running one-off labeling projects. This positions the tool across both production IDP and dataset iteration needs.
Primarily document AI oriented
Organizations looking mainly for general-purpose image/video annotation may find the product less aligned than platforms built first for broad computer-vision labeling. Document extraction features can add complexity if the goal is only to label datasets. Some advanced CV annotation modalities and tooling depth may not match specialist annotation suites. Fit is strongest when documents and OCR are central to the use case.
Integration effort varies by stack
Connecting IDP outputs to ERP, RPA, data warehouses, or case-management systems typically requires integration work and process design. The amount of effort depends on existing systems, document variability, and governance requirements. Teams may need to define validation rules, exception queues, and monitoring to achieve stable operations. This can lengthen time-to-value compared with simpler, standalone OCR tools.
Vendor details not fully verifiable
Publicly verifiable corporate details (such as founding year and headquarters) are not consistently available across authoritative sources. This can complicate procurement due diligence when compared with vendors that publish clearer corporate and compliance information. Buyers may need to confirm ownership, locations, and security posture directly with the vendor. The entries below therefore include several 'Unsure' fields.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | Free (25,000 credits included) | Great for individual/small teams (1-3 users or 1 workspace); Agentic workflow builder; All document types supported; Self-managed human review |
| Growth | $500 per month (monthly billing) — annual billing shows "20% OFF" on site | Starts at 100,000 credits/month; Tailored for growing teams (up to 25 users); Priority processing; Email & chat support |
| Enterprise | Custom pricing | Starts at 500,000 credits; Volume pricing and SLA options; Compliance & governance features; Unlimited users + governance controls; SSO/SAML + SCIM; Managed human review (Super.AI workforce); VPC / on-prem deployment; Contact Sales |
Seller details
super.AI, Inc.
San Jose, California, United States
2018
Private
https://www.super.ai/
https://x.com/superAI_
https://www.linkedin.com/company/super-ai
