What's the difference between super.AI and Google Intelligent Document Processing (IDP)? Let's take a look at how the features of both platforms compare.
Modern SaaS microservices
Using microservices
Leverages 5 different modern AI OCRs
ML-based OCR
Latest AI/ML techniques
Pre-defined document types or custom training needed for custom document types
Multiple OCRs paired with multi-level AI delivers industry-leading results
Multiple extraction methods that must be configured manually
Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type
Human-in-the-loop limited to model setup/training phase
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
Data format customization available
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 with structured docs
Multiple OCRs paired with multi-level AI delivers industry-leading results
Requires extensive setup, training, and tuning
Multiple OCRs paired with multi-level AI delivers industry-leading results
Requires extensive setup, training, and tuning
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
Single, proprietary AI model intake of JPEG and PNG only
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.)
Need to be converted into supported format
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.