OCR & Document Data Extraction
Turn documents and images into structured, usable data automatically
Every business runs on documents — invoices, contracts, forms, IDs, receipts — yet most of that information is locked in scans and PDFs that software cannot read. DYDD Technologies are document-AI experts, not a platform vendor: we automate data extraction by choosing and integrating the best open-source OCR engines (Tesseract, PaddleOCR, docTR) and cloud document-AI services (AWS Textract, Azure AI Document Intelligence, Google Document AI, Hugging Face models) for your case — so unstructured files become structured, usable data inside the systems you already use.
The problem: manual data entry does not scale
Manual document processing is slow, expensive, and error-prone. Staff spend hours copying figures from invoices into accounting systems, transcribing form fields into CRMs, and checking IDs against records by eye. Every keystroke is an opportunity for a typo, and every backlog delays downstream processes such as approvals, payments, and customer onboarding. Simple scanning tools produce flat text without structure, so someone still has to find the invoice number, the total, or the date inside the output. As volume grows, the only traditional answer is hiring more people to do the same repetitive work — which increases cost without improving accuracy and keeps skilled employees busy with tasks a machine should handle.
Our approach: extraction pipelines built for your documents
We start from your actual documents, not a generic template. Modern OCR combines text recognition with layout understanding and machine-learning models that locate the specific fields your processes need — invoice totals, line items, dates, names, identifiers — even when formats vary between suppliers or over time. We select the best open-source models and cloud document-AI services per document type; the pipeline we build validates extracted values against business rules, flags low-confidence results for quick human review, and delivers clean structured data straight into the systems you already use — including your existing document-management platform, which we integrate with rather than replace. Because confidence scoring routes only the uncertain cases to people, your team reviews exceptions instead of processing everything.
- Assessment of your document types, volumes, languages, and current processing workflow
- Text recognition tuned for scans, photos, and mixed-quality inputs, including tables and multi-column layouts
- Field-level extraction that identifies the specific values your process needs, not just raw text
- Validation rules and confidence scoring that route uncertain results to human review
- Integration with your ERP, CRM, accounting, or document management systems via APIs
- Monitoring dashboards for throughput, accuracy, and exception rates in production
What you get
- A configured OCR pipeline for your priority document types
- Structured output — JSON, spreadsheets, or direct system integration — matching your data model
- A human-in-the-loop review interface for low-confidence extractions
- API access so other applications can submit documents and receive structured data
- Accuracy and throughput reporting to quantify time saved versus manual entry
- Training and documentation for administrators and reviewers
Frequently Asked Questions
Do you sell an OCR or document-management product?
No. DYDD Technologies is a services and integration company. We do not sell a competing product — we build tailored document-AI solutions on open-source technologies and cloud services (AWS, Azure, Hugging Face, and others), and we integrate with the document-management platforms you already run. You own the result, and we never compete with your business.
What kinds of documents can you process?
We handle the common business document families: invoices, receipts, purchase orders, contracts, application forms, identity documents, and general scanned correspondence. Our solutions work with PDFs, scans, and photos, including imperfect inputs such as skewed pages or variable layouts. During the assessment phase we test against samples of your real documents to confirm extraction quality before rollout.
How accurate is automated data extraction?
Accuracy depends on document quality and field complexity, which is why we attach a confidence score to every extracted value. High-confidence results flow straight through; low-confidence ones are routed to a lightweight human review screen. This design means your team only touches the exceptions, and overall output accuracy stays high even when some source documents are poor scans.
Can the extracted data feed directly into our existing systems?
Yes. The solutions we build expose APIs and export formats designed for integration, so extracted data can flow into your ERP, accounting software, CRM, or database without manual steps. As a custom software development company, DYDD Technologies also builds any connector or transformation logic your systems need.