Start processing 100% of complex documents.
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What's the difference between super.AI and Parascript 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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Monolithic “n-tier” architecture
Leverages 5 different modern AI OCRs
Single, proprietary OCR
Latest AI/ML techniques
Automated classifier uses proprietary AI
Multiple OCRs paired with multi-level AI delivers industry-leading results
Proprietary technology heavily dependent on initial configuration and sample data
Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type
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
Limited form- and field specific validation workflows
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
Proprietary, pre-trained, ML models, with add-on feature to train on client data
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
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.)
