Products
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale NucleusThe mission control for your data
Scale ValidateCompare and understand your models
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale SyntheticGenerate synthetic data
Solutions
Resources
Company
Document AI
Extract data from complex documents in seconds. At human-level accuracy. No templates.
Why Scale Document AI
Challenges Our Customers Faced Before Document AI
In the course of our mission to make AI infrastructure accessible, we’ve learned from a diverse set of companies. Their number one need was to use Machine Learning to automate document processing. Until now, companies:
Encountered OCR’s Limits
Tried rule-based OCR solutions that require extensive effort from engineering teams to set up templates.
Suffered from Limited Quality
Tried rule-based OCR solutions that require extensive effort from engineering teams to set up templates.
Dealt with Chronic Delays
Realized that low quality and lengthening turnaround times caused downstream delays in delivering their product to their customers, resulting in declining customer satisfaction.
Spent Excessively on In-House Engineering
Tried building in-house capabilities with human processing and engineering efforts that caused wasting millions of dollars in hiring, training, maintaining of people and solutions as well as quality assurance without reaching economies of scale.
To address these shortcomings, we built Document AI.
How It Works
Operationalize Machine Learning
Scale Document AI has built base models relying on Scale’s expertise Computer Vision and Natural Language Processing. Document AI fine-tunes these Machine Learning models for your use case by annotating sample documents. The resulting models are ready to process your documents with human-level accuracy, in seconds. No templates needed.
Optional
human-in-the-loop QA is available for complex use cases,
and is also used to improve model performance.
industries
Logistics, Finance, and Healthcare Depend On Us
Bills of Lading, Commercial Invoices, Packing Lists, and more
Reduce delays when clearing customs and delivering goods, minimize operational costs, and get paid on time. Document AI is template-free, fast, and extracts data from your documents at human-level accuracy.
client.createDataExtractionTask({
callback_url: 'http://www.example.com/callback',
instruction: 'Extract fields and link relationships.',
params: {
attachments: [
{
type: 'pdf'
content: 'bill_of_lading.pdf'
}
],
labels: ['M&No', 'Description', ...],
boundingboxes: true,
}
});QUALITY ASSURANCE
Accuracy and Fast Turnaround are Guaranteed
Industry-leading quality engine to reliably tackle ever-changing unstructured data
Human-Level Accuracy
Our use of Computer Vision and Natural Language Processing models, with fine-tuning, enables much higher quality data extraction than either hard-coded templates or human annotation. We optionally provide human-in-the-loop QA when needed.
ML Means Continual Improvement
Our models are trained on millions of data points, and further refined for each customer use case. Thus, our ML models achieve much higher quality, generalize across challenging document types, and continually improve as we continue to process more data.
Transparency In Metrics
To increase your operational efficiency, you get access to our metrics dashboard to review your pipeline performance, visualization tools to audit your data easily, and our feedback platform to provide instructions.
See It In Action
Get to Know Document AI
Upload documents, receive labeled structured data, and curate results.
Upload documents, receive labeled structured data, and curate results.
Flexport relies on Scale Document AI to process logistics documents.
Brex relies on Scale Document AI to process invoices.
See extraction insights and document curation in Scale Document AI.
Our engineers explain how they built components of Scale Document AI.
OFFERINGS
Explore Options
Enterprise
Document AI Enterprise
Custom fine-tuned models to fit your specific needs.
Self-Serve
Document AI Go
Self-serve, models-only document processing.
Supported Document Types
50+ document types supported and support for new document types.
Commercial Invoices, Bills of Lading, Airway Bills, and Accounts Payable Invoices.
Supported Languages
15+ languages supported.
English
Taxonomy
Define and customize the fields you need extracted from your documents.
Pre-defined taxonomies can be found here.
Quality
Up to 99%+. Includes custom quality SLAs in the contract.
Tooling to audit results is provided.
Latency
Less than 5 seconds.
Less than 5 seconds.
Human-in-the-loop QA
Optional human-in-the-loop QA is available.
Models only.
Enterprise Document AI requires an annual contract. Talk to our team and schedule a demo.
To try Document AI Go, sign up for the waitlist.
Supported Document Types
50+ document types supported and support for new document types.
Supported Languages
15+ languages supported.
Taxonomy
Define and customize the fields you need extracted from your documents.
Quality
Up to 99%+. Includes custom quality SLAs in the contract.
Latency
Less than 5 seconds.
Human-in-the-loop QA
Optional human-in-the-loop QA is available.
Pricing
Custom pricing.
Enterprise Document AI requires an annual contract. Talk to our team and schedule a demo.
CUSTOMERS
Trusted by World Class Companies
“Scale’s machine learning-based Document AI is very different from traditional OCR models, or template-based learning. No templates, high quality, and low latency every time. We rely on Scale for document processing, because with higher extraction accuracy, almost zero human labor is required afterward to correct it. With lower latency, we can enable products like air freight where document data has to arrive much faster since air shipments take less than two days.”
James Chen
Chief Technology Officer, Flexport
“The combination of the Blend platform with Scale’s Document AI ensures the swift, accurate extraction and validation of data from documents, enabling bankers to make data-driven decisions with confidence.”
Jeff Braddock
Manager of Product Partnerships, Blend
“Unlike OCR that basically just extracts information and then leaves to our engineers all the work of understanding the context, Scale Document actually figures out the context for us, and that requires minimal work on our side to actually build and integrate the whole pipeline.”
Henrique Dubugras
Founder and Co-CEO, Brex
“OpenAI threw a bunch of tasks at Scale AI with difficult characteristics, including tight latency requirements and significant ambiguity in correct answers. In response, Scale worked closely with us to adjust their QA systems to our needs.”
Geoffrey Irving
Member of Technical Staff, OpenAI
“Scale has provided the fuel to put our machine learning systems on overdrive. They make sure the highest quality training data is there in time to meet our aggressive roadmap. Lenders and borrowers will experience faster and more efficient closings sooner as a result.”
Andy Mahdavi
Chief Data Science Officer, Doma
With Scale Document AI, document processing is a breeze.