What's the difference between super.AI Intelligent Document Processing (IDP) and AntWorks? Let's take a look at how the features of both platforms compare.
Modern SaaS microservices
Modern SaaS microservices
Leverages 5 different modern AI OCRs
Proprietary OCR
Latest AI/ML techniques
Proprietary machine learning algorithms
Multiple OCRs paired with multi-level AI delivers industry-leading results
Proprietary OCR
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
Proprietary OCRs and ML techniques limit extraction quality
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 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.)
Some IDP solutions can process handwriting. However, the capabilities are all over the map. Some only handle block text. Others can handle cursive. Most have a limited number of languages they can process a document in. Since super.AI has an open architecture, it can be easily customized to use the best document AI or OCR solutions for handwriting in a given language.