Start processing 100% of complex documents.
Submit your information to get started with super.AI Intelligent Document Processing (IDP).
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What's the difference between super.AI and Hyperscience Intelligent Document Processing (IDP)? Let's take a look at how the features of both platforms compare.
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Modern SaaS microservices
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Microservices architecture
Leverages 5 different modern AI OCRs
Proprietary OCR text recognition engine
Latest AI/ML techniques
Proprietary preset AI models offered as building blocks for users to create use-case based workflows
Multiple OCRs paired with multi-level AI delivers industry-leading results
Accuracy starts at 75% for structured and semi-structured documents.
Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type
Human-in-the-loop available for model setup/training phase, queues, and performance monitoring. Customized human supervision interfaces available
Deploy on-demand, curated human workers in your region for training, validation, and post-processing
Fuzzy matching against databases and ability to add any business logic in Python
Configurable validation rules, including referencing external data
Users define quality, cost, and speed thresholds then super.AI guarantees the results
Multiple OCRs paired with multi-level AI delivers industry-leading results
Proprietary, pre-trained, ML models, with add-on feature to train on client data
Multiple OCRs paired with multi-level AI delivers industry-leading results
Proprietary OCR with ability to process handwritten documents and forms
Multiple OCRs paired with multi-level AI delivers industry-leading results
NLP to analyze free text within structured/semi-structured documents
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
Image processing is available for documents (i.e. invoices) in image file formats
Leverages the best AI/ML model for each use case (e.g., drone footage processing, license plate extraction, damage detection, redaction, etc.)
Leverages the best AI/ML model for each use case (e.g., transcription, speaker identification, etc.)
Leverages the best AI/ML model for each use case (e.g., classification, sentiment analysis, data extraction, etc.)
Limited classification and processing capabilities for emails
