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Super.AI vs.

Hyperscience

What's the difference between super.AI and Hyperscience Intelligent Document Processing (IDP)? Let's take a look at how the features of both platforms compare.

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Technology
Architecture

Super.AI

Modern SaaS microservices

Hyperscience

Microservices architecture

OCR Quality

Super.AI

Leverages 5 different modern AI OCRs

Hyperscience

Proprietary OCR text recognition engine

Core Capability
Classification

Super.AI

Latest AI/ML techniques

Hyperscience

Proprietary preset AI models offered as building blocks for users to create use-case based workflows

Extraction Quality

Super.AI

Multiple OCRs paired with multi-level AI delivers industry-leading results

Hyperscience

Accuracy starts at 75% for structured and semi-structured documents.

Human-in-the-loop (HITL)

Super.AI

Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type

Hyperscience

Human-in-the-loop available for model setup/training phase, queues, and performance monitoring. Customized human supervision interfaces available

Data Processing Crowd

Super.AI

Deploy on-demand, curated human workers in your region for training, validation, and post-processing

Hyperscience

Post-processing

Super.AI

Fuzzy matching against databases and ability to add any business logic in Python

Hyperscience

Configurable validation rules, including referencing external data

Quality Guarantee

Super.AI

Users define quality, cost, and speed thresholds then super.AI guarantees the results

Hyperscience

Data Types Supported
Structured Docs

Super.AI

Multiple OCRs paired with multi-level AI delivers industry-leading results

Hyperscience

Proprietary, pre-trained, ML models, with add-on feature to train on client data

Semi-structured Docs

Super.AI

Multiple OCRs paired with multi-level AI delivers industry-leading results

Hyperscience

Proprietary OCR with ability to process handwritten documents and forms

Unstructured Docs

Super.AI

Multiple OCRs paired with multi-level AI delivers industry-leading results

Hyperscience

NLP to analyze free text within structured/semi-structured documents

Images

Super.AI

Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)

Hyperscience

Image processing is available for documents (i.e. invoices) in image file formats

Videos

Super.AI

Leverages the best AI/ML model for each use case (e.g., drone footage processing, license plate extraction, damage detection, redaction, etc.)

Hyperscience

Audio

Super.AI

Leverages the best AI/ML model for each use case (e.g., transcription, speaker identification, etc.)

Hyperscience

Emails

Super.AI

Leverages the best AI/ML model for each use case (e.g., classification, sentiment analysis, data extraction, etc.)

Hyperscience

Limited classification and processing capabilities for emails

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Feature availability
Excellent (fully available)
Good (partially available, e.g. plugins)
Fair (needs customization or limited)
Poor
Poor (not available)

What Sets super.AI Apart?

A few key features make it possible for super.AI to process 100% of your data, including complex documents and any other unstructured data type.

Complex Documents

Super.AI IDP breaks down complex documents into smaller components, then leverages the best AI, human, and software worker to process each—ensuring high-quality results.
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100% Processing

Curated human workers from our on-demand Data Processing Crowd review low-confidence fields to maintain 100% data processing.
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Outcome Guarantee

Users define project priorities for quality, cost, and speed, then super.AI intelligently selects the best combination of human, AI ,and software workers to guarantee outcomes.
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Any Data Type

Our unified AI platform is a future-proof investment with support for any unstructured data type—including documents, images, videos, audio, text, and more.
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What makes super.AI the right choice?

Everything you need to automate processing of any unstructured data type at scale.
Auto-annotate
Pixel-perfect polygon masks from V7's any-object neural network.
Annotator Metrics
Sort by time, annotations per minute, total images, accuracy, and more.
Pixel Perfect Output
Sub-pixel perfect, actually. Darwin's JSON output is simple and lightweight.
Sub-annotations
Add attributes, text, directional vectors, grouping, and more.
Multiple Formats
Supporting JPG, PNG, TIF, MP4, MOV, SVS, DICOM and counting.
Full Compliance
Develop FDA and EMA compliant medical applications in a HIPAA compliant environment.
Advanced Tooling
Polygon, bounding box, keypoint skeleton, brush & eraser, and plenty more.
Custom Plugins
Write plugins to add new functionalities and annotation types.
A-grade Security
All images & video are encrypted on transfer in a GDPR-compliant platform.
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FAQs

Can IDP process handwritten text?

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