Data & Document Processing
Sort, classify, extract, and organize documents at scale using AI. We use LLM-based and OCR-based extraction to process thousands of pages with controlled vocabulary systems, full audit logging, and misclassification handling.
Data and document processing automation uses AI to sort, classify, extract, and organize documents, photos, emails, and records at scale. TechJoint leverages LLM-based and OCR-based extraction architectures to process thousands of pages with controlled vocabulary systems, audit logging, and misclassification handling.
Process Your DocumentsAI-Powered Sorting, Classifying & Extraction
Sort and classify documents at scale using AI — invoices, contracts, claims, resumes, and any other type your operation handles.
Batch Processing with Cost Optimization
Process thousands of documents in optimized batches using models like Gemini Flash 2.0 — approximately 6,000 pages for $1.
Controlled Vocabulary & Misclassification Handling
Structured classification systems that flag uncertain results for human review — every edge case handled, not ignored.
Google Drive, Email & File System Automation
Pipelines that watch folders and inboxes, pull documents automatically, process them, and route structured output to the right place.
LLM-Based Extraction for Complex Documents
Large language models extract contextual data from contracts, emails, and unstructured documents where OCR alone falls short.
OCR-Based Extraction for Standardized Forms
High-accuracy optical character recognition for invoices, POs, and other standardized forms — 99%+ accuracy at volume.
Financial Document Pipelines
Invoice processing, PO matching, and bank statement parsing — turning hours of manual reconciliation into automated output.
CRM Data Pipeline Enrichment
Structured document data flows directly into your CRM — enriching records, triggering workflows, and eliminating manual data entry.
Document Assessment
Analyze your document types, volumes, and accuracy requirements. We identify the mix of structured and unstructured data your pipeline needs to handle.
Architecture Selection
Choose LLM vs OCR extraction based on document structure and failure modes. The right architecture depends on your documents, not a one-size-fits-all approach.
Pipeline Build
Deploy batch processing with cost optimization, audit trails, and error handling. Every extraction is logged and every decision is traceable.
Validation & Handoff
Test against edge cases, validate accuracy rates, and document the entire system. Your team receives SOPs and monitoring dashboards.
Insurance Claims Processor
Automated extraction of claim details from PDFs flows into CRM enrichment and adjuster routing — eliminating manual data entry on every claim.
Legal Operations Team
Contract analysis, clause extraction, and organized filing across 1,000+ documents with controlled vocabulary and audit trails for compliance.
Accounting Department
Invoice processing, PO matching, and bank statement reconciliation at scale — turning hours of manual work into minutes of automated processing.
What's the difference between LLM and OCR extraction?
How much does document processing cost at scale?
What accuracy rates do you achieve?
Can you process documents from email automatically?
How do you handle misclassifications?
What types of documents can you process?
Ready to Process at Scale?
Tell us about your document types and volumes and we'll show you how AI-powered processing eliminates your biggest bottleneck.
Fill out the short form below. We'll review it and get back to you within 24 hours with a free assessment.