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 WorkFusion 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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Webservice
Leverages 5 different modern AI OCRs
Single OCR
Latest AI/ML techniques
Rule-based, older AI/ML techniques
Multiple OCRs paired with multi-level AI delivers industry-leading results
OCR combined with outdated ML techniques
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, Python code
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
Works well for standard forms
Multiple OCRs paired with multi-level AI delivers industry-leading results
Mixed results in highly variable environments
Multiple OCRs paired with multi-level AI delivers industry-leading results
Works with docs that vary minimally in form/layout
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
Leverages previous generation NLP and ML models
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.)
Leverages previous generation NLP and ML models
