Document Layout Intelligence
We build custom AI systems that combine layout understanding, OCR, and semantic data extraction using LLMs and cloud AI services.
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Our approach leverages cutting-edge layout analysis and AI models to bridge the gap between raw visual data and structured, actionable information.
We specialize in processing documents where layout plays a pivotal role in meaning—documents where spatial relationships, visual hierarchies, and cross-linked elements must be accurately understood and interpreted.
20
Years Of Business
30+
IDP Projects Completed
30+
AI Engineers
Use Case Highlights
01
Engineering & Construction Drawings
Extract geometry, dimensions, and GD&T, detect windows, doors, walls, symbols, and annotations.
02
Medical Documents
Extract data from EHRs, lab results, imaging reports, prescriptions, and billing forms; automate claims and analytics.
03
Invoices, Tax Forms, Receipts
Extract structured data (line items, totals, specifications); handle nested tables, irregular layouts
AI Invoice Processing Benchmark
AI Invoice Processing Benchmark
Core Capabilities
- Evaluate AI models (LLMs, cloud services) based on accuracy, speed, and cost.
- Benchmark models using real-world documents to determine optimal fit.
- Employ ensemble methods to enhance extraction accuracy.
- Continuously monitor and update model selections as technologies evolve.
- Element detection: symbols, article boundaries, GD&T.
- Hierarchical structuring: headers, footnotes, multi-column flows.
- Spatial relationship modeling.
- Link text with visual cues (e.g., callouts, diagrams).
- Extract contextual data from technical manuals and forms.
- Map relationships across document sections.
- Automatically identify document types and templates.
- Route to appropriate processing pipelines or models.
- Handle mixed-document batches and attachments.
- Enable adaptive workflows based on classification.
- Fine-tuned models for specific document types.
- Post-processing using domain-specific rules.
- Integration into existing workflows and infrastructure.
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Have a document automation project in mind?
Contact us to get a free consultation and a project roadmap
Data Capture Pipeline Steps
01
Multi-Source Document Ingestion
We support seamless intake of documents from a wide range of sources — including file folders, cloud storage (Google Drive, SharePoint, Dropbox), APIs, and direct user uploads. Whether you're working with scanned images, digital PDFs, or mixed-format archives, our pipelines adapt to your operational flow.
02
Preprocessing & Normalization
Uploaded documents undergo preprocessing to improve data quality. We apply noise reduction, skew correction, image enhancement, and file normalization to ensure consistent inputs — crucial for handling both clean digital files and noisy scans.
03
AI-Powered Understanding
Using a combination of layout-aware models, OCR engines, and large language models (LLMs), we detect structural elements (tables, columns, headers) and understand their relationships. This enables precise semantic extraction even in irregular or visually complex layouts.
04
Data Extraction & Structuring
We extract key-value pairs, tables, line items, annotations, and metadata. Custom business rules and AI models ensure accuracy across diverse use cases — from medical forms and engineering drawings to legal and financial documents.
05
Export & Integration
Structured outputs can be automatically exported into the systems of your choice — whether it’s a CRM, an Excel file, a relational database, or a folder for downstream processing. We support JSON, XML, CSV, and direct API-based integrations.
Structured outputs can be automatically exported into the systems of your choice — whether it’s a CRM, an Excel file, a relational database, or a folder for downstream processing. We support JSON, XML, CSV, and direct API-based integrations.
We extract key-value pairs, tables, line items, annotations, and metadata. Custom business rules and AI models ensure accuracy across diverse use cases — from medical forms and engineering drawings to legal and financial documents.
Using a combination of layout-aware models, OCR engines, and large language models (LLMs), we detect structural elements (tables, columns, headers) and understand their relationships. This enables precise semantic extraction even in irregular or visually complex layouts.
Uploaded documents undergo preprocessing to improve data quality. We apply noise reduction, skew correction, image enhancement, and file normalization to ensure consistent inputs — crucial for handling both clean digital files and noisy scans.
We support seamless intake of documents from a wide range of sources — including file folders, cloud storage (Google Drive, SharePoint, Dropbox), APIs, and direct user uploads. Whether you're working with scanned images, digital PDFs, or mixed-format archives, our pipelines adapt to your operational flow.
Our Services
Staff Augmentation Services
Boost your team's capacity with our expert professionals, perfectly suited to your project's unique requirements, ensuring efficiency and flexibility
MVP Development Services
Our MVP services help validate your ideas, reduce time-to-market, and increase your chances of success
Offshore Development Center
A global network of skilled developers, designers, and IT professionals who are ready to tackle your project
FAQ
We care about the confidentiality of our clients' and partners' data. The NDA provides protection for information related to projects and clients and ensures it is only used within the referral program.
We work with Fortune 500 companies and startups. Our notable clients include American Airlines, IBM, Microsoft, Samsung, Mitsubishi Electric, Burger King, Delta, and more.
Visit Clutch or contact us directly.
We have reviews on Clutch. We can provide direct references from our clients too. Contact us for more details.
Our company is registered in the USA.
Our company is registered in Delaware, USA. Our development office is located in Novosibirsk, Russia.
Any type of payments to Bank of America.
A preferred way is a wire or ACH transfer, or a mailed check.
We use technologies like Python, TensorFlow, PyTorch, and Keras for AI and machine learning development, along with specialized hardware like GPUs for efficient processing of complex algorithms.
Write to us at ref@businesswaretech.com, and we will be happy to help.
We usually discuss it with each customer.
We bill our customers monthly when working on long projects. For a short project that spans over a couple of months, a typical upfront payment is about 30% of the total cost.
An example of document processing is optical character recognition (OCR) software that scans and converts printed or handwritten text from documents into digital data, enabling efficient search, editing, and processing.
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Let's Work Together!
Do you want to know the total cost of developing and launching your project? Tell us about your requirements, our specialists will contact you as soon as possible.