Can AI replace manual data entry?AI replace
IRPR ships AI data extraction tools that cut manual keying by 90%. Get a fixed-price MVP in 12 weeks with no hourly billing.
Can AI replace manual data entry? IRPR builds production pipelines that combine Amazon Textract OCR, custom TensorFlow classification models, and RPA connectors to eliminate repetitive typing. A logistics company we worked with reduced invoice processing from 5 days to 2 hours using a trained model on 10,000 historical documents.
A first AI data entry MVP ships in 10-14 weeks at a fixed price between $40K and $150K. We deliver source code, the trained model, a REST API, and a human review interface for edge cases. Compliance with HIPAA, PCI-DSS, or SOC 2 is engineered into the pipeline from day one.
Operations managers at 3PL warehouses hire us to auto-capture shipping labels and packing slips, finance directors at fintech firms need automated invoice OCR, healthcare administrators seek claims data extraction without manual keying, and ecommerce owners want supplier PDFs synced directly into Shopify inventory.
Types of software we ship.
Invoice processing AI
Automatically extracts vendor name, line items, amounts, and tax from PDF invoices using Amazon Textract and classifies them with a trained PyTorch model. Integrates with QuickBooks or SAP.
Receipt and expense management
Captures receipt images via mobile upload and parses merchant, date, total, and category fields. Models trained on 50,000+ receipt layouts feed into Expensify or custom expense systems.
Medical form data extraction
HIPAA-compliant OCR for patient intake forms, lab reports, and insurance cards. Extracts structured data into EHR systems like Epic or Cerner with 98% field accuracy.
Legal document digitization
Parses contracts, affidavits, and discovery documents into searchable text and metadata. Custom models trained on your firm's templates avoid generic OCR errors and preserve original formatting.
Handwritten form conversion
Combines Tesseract OCR with a fine-tuned handwriting recognition model on HuggingFace. Processes survey forms, field service reports, and warehouse checklists with 92%+ accuracy.
Spreadsheet data migration AI
Auto-maps columns from hundreds of legacy Excel files into a new database schema using fuzzy matching and a trained classifier. Validates data types and flags anomalies automatically.
ID document verification AI
Extracts name, address, and DOB from passports and driver's licenses in real time via API. Uses AWS Rekognition for face matching and built-in liveness detection for KYC compliance.
Survey response data extraction
Scans scanned or digital survey PDFs, identifies checkboxes, handwriting, and typed text, and exports structured JSON to analytics dashboards like Tableau or Power BI.
We build for every business type.
Financial Services
Healthcare
Logistics and Supply Chain
Legal and Real Estate
E-commerce and Retail
AI data entry isn't future tech - it ships now
IRPR has built automated data capture pipelines across 50+ countries using proven toolchains.
We combine OCR engines like Amazon Textract and Tesseract with custom machine learning classifiers to achieve field-level accuracy above 95%. The pipeline then pushes structured data into your existing database, ERP, or SaaS tool via REST API or direct integration. 200+ products later, we know exactly what breaks in production and design for it.
A typical toolchain includes Google Document AI for layout parsing, a fine-tuned BERT model for entity recognition, and Zapier or Make webhooks for low-code connections. In one logistics deployment, we cut manual keystrokes by 88% on 70,000 monthly documents.
Why most AI data entry projects fail
Generic AI shops promise automation but deliver black boxes you can't control.
Many vendors sell 'AI data extraction' as a magic service with no fixed scope. They charge per scanned page, hide the model architecture, and refuse to hand over training data. When an edge case appears - a new invoice layout or a smudged scan - you wait weeks for a fix because you don't own the pipeline.
IRPR delivers the complete stack: source code, trained model artifacts, and a human-in-the-loop interface. You can update the model yourself or we can manage it. There's no vendor lock-in because everything runs in your AWS or Azure account under your compliance boundaries.
- promise 'AI magic' with no fixed scope
- black-box models you can't audit
- charge per page with hidden fees
- zero compliance documentation
- slow to fix edge cases
- you don't own the trained model
- fixed-price Roadmap in week 2
- open-source models when possible
- model trained on your private data
- HIPAA / PCI-DSS architecture built-in
- human review UI for exceptions
- full source code and model artifacts delivered
How IRPR builds an AI data entry pipeline
Four phases from raw documents to integrated automation.
We start with your 500 most common document layouts to train baseline extraction. Within 10 weeks, the first version is live in production, learning from new formats. After 14 weeks, automated field mapping and exception routing are fully operational.
All steps happen in your cloud environment or ours, with weekly demos and a dedicated senior engineer. The fixed price covers everything from labeling tool setup to model monitoring dashboards.
What ships when AI replaces manual data entry
Every IRPR project includes production-ready infrastructure by default.
These aren't prototypes. Each delivery includes a containerized microservice that can scale to millions of pages per month. We hand over the full Git repository with CI/CD pipelines already configured on GitHub Actions or GitLab CI.
- OCR pipeline with 95%+ field accuracy on your documents
- Custom classification model (TensorFlow or PyTorch)
- REST API for real-time extraction with Swagger docs
- Webhook integrations to Salesforce, SAP, or custom ERP
- Human-in-the-loop validation UI with queue management
- Confidence scoring per extracted field with routing rules
- Data encryption at rest (AES-256) and in transit (TLS 1.3)
- CI/CD pipeline for automated model retraining and deployment
- Admin dashboard showing throughput, accuracy, and exceptions
- Full source code in your Git repo, no vendor lock-in
What we ship in this practice.
Automated invoice processing for a logistics company
Reduced AP processing time from 5 days to 2 hours by ingesting 10,000 invoices per month. Tech stack: AWS Textract, PyTorch NER model, and PostgreSQL with direct integration into NetSuite.
Medical claims data extraction
Eliminated 3 full-time data entry clerks by auto-capturing ICD-10 codes and patient demographics from scanned HCFA forms. HIPAA-compliant deployment on AWS GovCloud with audit logs.
E-commerce supplier order sync
Automatically extracted order details from supplier PDFs and pushed them into Shopify inventory, saving $12K per month in manual data entry. Integrated with Gmail API for attachment ingestion.
Real estate contract digitization
Parsed 50,000+ property sale agreements into structured fields for a title company, cutting closing preparation from 3 days to 4 hours. Used custom layout-aware model on Google Document AI.
Warehouse packing slip capture
Reduced receiving errors by 60% with mobile-phone OCR of packing slips that auto-validates against purchase orders. Model runs on TensorFlow Lite for offline use in warehouses.
Bank statement analysis for lending
Processed 2,000 PDF bank statements daily, extracting transaction history and running fraud checks via Plaid API integration. Reduced loan processing time from 7 days to 8 hours.
Why teams hire us.
Fixed price in 2 weeks
We produce a detailed Roadmap with a locked price after the second week. No hourly billing, no scope creep charges. The quote covers everything from labeling tool to monitoring dashboard.
You own the trained model
We deliver model weights, training scripts, and the full source code into your Git repository. You can retrain, modify, or host it anywhere without asking permission.
Works with your existing systems
Our pipelines integrate via REST API, webhooks, or direct database writes. We have connected AI extraction to SAP, Salesforce, NetSuite, Shopify, and custom ERPs in 50+ countries.
Compliance from day one
HIPAA, PCI-DSS, and SOC 2 requirements are baked into the architecture, not bolted on later. Data never leaves your private cloud if required, and all processing is logged for audit.
Exception handling built in
A human review UI lets your team correct low-confidence extractions. Those corrections automatically feed back into the model on a weekly retrain cycle, improving accuracy over time.
Start within 1 week
After a 30-minute call, we typically kick off within 5 business days with a senior AI engineer assigned full-time. 200+ products shipped at this pace.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.