Intelligent document processing that combines the best of OCR technology with human insight.

Data Extraction

Extracting data from a receit

Multilingual Transcription

Transcribing a menu in spanish


Classificating a w-2 document
illustration of shapesUse Cases

Document Processing

Extract key information and gain valuable insights from a vast corpus of document-based data from forms, invoices, claims, IDs, loan applications, restaurant menus and more.

  • random alt

    Manufacturing & Logistics

    Improve operational efficiency and reduce costs throughout the supply chain. Documents include:

    • Bills of Purchase

    • Invoices

    • Change requests

    • Proofs of Delivery

  • random alt

    Financial Services

    Process applications faster, validate claims more accurately and improve compliance. Documents include:

    • Mortgage Applications

    • Bank Statements

    • Insurance Claims

    • Proof of Insurance

  • random alt

    Professional Services

    Enhance back-office operations and process contracts and invoices more accurately. Documents include:

    • Contracts

    • Bills of Service

    • Resumes

    • Government IDs

illustration of shapesHow It Works

Easy to Start, Optimize and Scale

Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.

"Transcribe this document."

  callback_url: '',
  instruction: 'Transcribe this document.',
  params: {
    attachments: [
        type: 'image',
        content: 'invoice.jpg'
    labels: ['LineItem', ...],
    boundingboxes: true,
  • illustration of a circle made of tags

    ML-Accelerated Data Labeling

    Off-the-shelf, industry specific OCR models combined with a human-in-the-loop workflow provides high-quality annotation with SLA turnarounds as fast a few hours.

  • illustration of a thunderbolt

    Fast Turnaround

    SLA turnarounds of documents can be as fast a few seconds for fully automated annotation to a few hours with human review to meet business requirements.

  • illustration of DNA

    Data Input Flexibility

    Submit Documents to the platform regardless of file format. Scale Document supports a range of inputs from PDFs, Word Documents, JPEGs and more.

  • illustration of a shield

    Operational Security

    Operational security options including background checked and in-facility workforces, and logical options including PII anonymization and virtual machine deployment to meet stringent data security requirements.

  • illustration of a circle made of arrows

    Taxonomy Development

    Deep expertise to develop taxonomies and instructions to meet unique needs and ensure high-quality results. Taxonomy changes can be implemented rapidly via automated personalized training.

  • illustration of a cockade

    Automated Quality Pipeline

    Quality assurance systems built into the product rapidly monitor and prevent errors. Varying levels and types of human review are triggered based on ML model confidence scores.

illustration of a cityEnterprise Ready

Custom Annual Plans and SLAs

Get started today with on-demand, or chat with us about an enterprise plan.

  • Guaranteed Task Completion Time

    Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.

  • 24/7 Development Support

    Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.

    Slack chat service
  • Cost Effective

    Enterprise engagements provide upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale AI, there are no platform fees.

illustration of shapesQuality Assurance

Best-In-Class Quality Choice

ML-accelerated, human-in-the-loop data annotation for industry-leading quality.

Super Human Quality

Document tasks submitted to the platform are first pre-labeled by our proprietary ML models, then manually annotated and reviewed by highly trained workers depending on the ML model confidence scores. All tasks receive additional layers of both ML-based checks and human review based on the quality confidence scores.

The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.

Talk To Sales
Scale's DashboardScale's Dashboard
illustration of shapesCustomers

Trusted by World Class Companies

Scale Document is trusted by leading machine learning teams to develop more accurate models.

Get Labeled Data Today