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Document & OCR

Multimodal models for pixel-precise document understanding, text localization, and automated information extraction.

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LayoutLMv3 – foundation model for document AI

The model is able to analyze scanned documents, invoices, receipts, and forms through collaborative text modeling.

// Why LayoutLMv3 at Keylabs
  • Multimodal thinking: Simultaneously process text, visual layout, and spatial position to understand complex relationships in forms, tables, and invoices.
  • Automated key-value extraction: Identifies and labels structured fields (dates, totals, vendor names) without manually creating bounding boxes.
  • Document classification: Classify millions of incoming documents (contracts, financial reports, IDs) based on their appearance and text content without prior training.

PaddleOCR – production-ready efficiency

A reliable, widely used engine for stable optical character recognition (OCR). With support for 80+ languages and a lightweight architecture, it suits large-scale text recognition across document sets.

// Why PaddleOCR at Keylabs
  • Multilingual support: Recognizes text and characters in dozens of languages, including complex fonts.
  • Batch processing: Built for industrial scale, it processes multi-page document batches in seconds.
  • Text localization: Automatically detects alignment and extracts lines of text even from low-quality scans or crumpled documents.

Choose your path

Industrial scale

Process massive amounts of data at high speed.

Parse, localize, and structure text across millions of pages of financial, medical, or legal documents with the PaddleOCR pipeline in hours.

Optimize for scale
Accuracy

Projects where classification or text errors are costly.

Deploy LayoutLMv3 combined with our expert Human-in-the-Loop validation to get structural analysis for compliance, insurance, and audit data.

Ensure accuracy
Budget optimization

Maximizing ROI on complex or poorly scanned datasets.

Use active-learning pipelines to extract text automatically, sending only the most complex, handwritten, or blurry segments to our annotators.

Reduce costs
Customized infrastructure

Enterprise teams with their own AI stacks.

Connect your own customized document parsing models or custom optical character recognition systems to Keylabs’ secure labeling environment.

Integrate your AI

Ready to automate your document labeling pipeline?

Talk to our document AI team to get started.

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Custom solution? hello@keylabs.ai