Transform Unstructured Documents Into Actionable Data With Enterprise OCR & Vision Language Models.
Layout-aware text extraction, complex table reconstruction, multi-lingual recognition, and document-level semantic understanding engineered with PaddleOCR, Tesseract, GOT-OCR 2.0, Qwen2.5-VL, AWS Textract, and Google Document AI.
Why OCR & Intelligent Document Processing for AI/ML & Data
modern OCR combines character recognition with Vision Language Models (VLMs) to preserve visual layout, reading order, and document context natively
extract complex multi-page tables, nested form fields, and line items directly into structured JSON, Markdown, or database schemas
utilize deep learning-based detection models to handle rotational skew, low resolution, motion blur, background noise, and distorted camera scans
deploy lightweight open-source OCR engines locally for strict data privacy or scale with high-accuracy cloud APIs for enterprise throughput
What We Build With
OCR & IDP
Invoice & Receipt Processing
zero-shot extraction of vendor metadata, tax totals, line items, and payment terms into ERP systems (SAP, Salesforce)

Identity Verification
Medical & Legal Digitization
Multimodal RAG
Mobile Scanner Apps
OCR & Data Expertise at StackDot
Where OCR & IDP Fit Best
Why StackDot for OCR Engineering
Hybrid Vision-Language Mastery
bridging traditional computer vision with modern multimodal LLMs to deliver accurate extraction across complex, multi-page document types
Accuracy-Driven Pipeline Design
combining automated image pre-processing, Layout Analysis, and rule-based post-validation to eliminate data extraction errors
Proactive Compute & Cloud FinOps
routing simple documents to lightweight local engines while reserving heavier VLMs for complex documents, drastically reducing cloud compute costs
Airtight Privacy & Local Infrastructure Sync
deploying self-hosted, air-gapped OCR solutions for sensitive financial, legal, and healthcare workflows to maintain compliance
Ready to Automate Your Unstructured Document Workflows With Enterprise OCR?
Layout-aware text extraction, complex table reconstruction, multi-lingual recognition, and document-level semantic understanding engineered with PaddleOCR, Tesseract, GOT-OCR 2.0, Qwen2.5-VL, AWS Textract, and Google Document AI.