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 Intelligent Document Processing (IDP) and IBM Datacap? Let's take a look at how the features of both platforms compare.
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Modern SaaS microservices
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Modern SaaS microservices
Leverages 5 different modern AI OCRs
Provides multiple recognition engines; users must evaluate each themselves and select best engine for the documents they are processing
Latest AI/ML techniques
Uses NLP and semantic analysis; Confidence scores assigned to categories in a pre-defined knowledge base
Multiple OCRs paired with multi-level AI delivers industry-leading results
Dependent on user selecting best recognition engine; Does not provide 100% accurate results
Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type
Includes sophisticated queues and routing; Lacks gamification, advanced quality measurement, ability to add instructions, and limited to documents
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
Ability to match against third-party databases and to add processing rules
Users define quality, cost, and speed thresholds then super.AI guarantees the results
Simple AI confidence levels only
Multiple OCRs paired with multi-level AI delivers industry-leading results
OCR works well for standard forms
Multiple OCRs paired with multi-level AI delivers industry-leading results
Dependent on user selecting the best recognition engine
Multiple OCRs paired with multi-level AI delivers industry-leading results
Heavily dependent on user selecting the best recognition engine; may still struggle with variable document stores
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
Works well with high-quality images
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.)
