AI-Powered · 99.9% Accuracy

Data Entry Automation Services

Manual data entry is slow, expensive, and error-prone. Our automated data entry pipelines use OCR, AI extraction, and validation rules to capture, verify, and enter data into your systems - at 10x the speed and a fraction of the cost of manual operators.

Automated data entry pipeline showing OCR extraction and validation workflow

Replace manual keystrokes with intelligent pipelines

Data entry automation replaces the repetitive, error-prone process of manually typing data from documents, emails, forms, and spreadsheets into your business systems. Our automation pipelines use optical character recognition (OCR) to extract text from scanned documents and images, AI models to classify and structure unstructured data, validation rules to catch errors before data enters your systems, and direct API integrations to push verified data into your CRM, ERP, or database. The result: data that used to take hours to enter manually is processed in minutes with higher accuracy. Your team focuses on exceptions and quality review instead of keystroke-level data entry. For data types that require human judgment, we pair automation with our trained data entry operators who handle the exceptions that automated systems flag.

What changes when data enters itself

80% Faster Processing

Automated pipelines process documents in seconds, not hours. A batch of 500 invoices that takes a team of operators an entire day is processed in under 30 minutes.

99.9% Accuracy with Validation

Multi-layer validation checks every field against business rules, reference data, and format requirements. Errors are caught and flagged before data enters your system, not after.

AI-Powered OCR Extraction

Extract data from scanned documents, PDFs, images, and handwritten forms using trained OCR models. Even low-quality scans and complex table layouts are handled accurately.

Structured Output to Any System

Extracted data is formatted and pushed directly into your CRM, ERP, accounting software, or database via API. No copy-pasting between systems, no reformatting spreadsheets.

Exception Handling Built In

Documents that fall below confidence thresholds are routed to human reviewers automatically. You get the speed of automation with the reliability of human verification for edge cases.

Audit Trail for Every Record

Every automated entry is logged with source document, extraction confidence score, validation results, and timestamp. Full traceability for compliance and quality assurance.

From raw documents to clean data in 4 steps

1

Ingest

Documents arrive via email, file upload, API, or scan. Our pipeline accepts PDFs, images, spreadsheets, and structured data files in any format.

2

Extract

AI-powered OCR and extraction models pull structured data from unstructured documents. Fields are mapped to your data schema automatically.

3

Validate

Extracted data passes through validation rules: format checks, range validation, duplicate detection, and cross-reference matching against your existing records.

4

Deliver

Verified data is pushed into your target system via API. Exception records are queued for human review with the source document attached for context.

ISO 27001 Certified
ISO 9001:2015
NDA for Every Team Member
Encrypted Data Transfer

Data Entry Automation FAQs

We automate data entry from invoices, receipts, purchase orders, shipping documents, insurance forms, medical records, tax documents, surveys, contracts, and any structured or semi-structured document. Both digital PDFs and scanned paper documents are supported. Our OCR models handle printed text, handwriting, table layouts, and multi-page documents.
Automated data entry with validation achieves 99.5-99.9% accuracy, compared to 96-99% for manual data entry operators. The key difference is that automated systems apply consistent validation rules to every record, catching errors that human operators miss due to fatigue or distraction. For fields that require human judgment, our hybrid approach routes exceptions to trained operators.
Yes. We integrate with any system that has an API: Salesforce, HubSpot, QuickBooks, NetSuite, SAP, Oracle, custom databases, Google Sheets, and more. For systems without APIs, we use database connections, file-based integrations (SFTP/CSV), or browser automation. Our goal is to eliminate manual data transfer between systems entirely.
Documents that fall below our confidence threshold (typically 95%) are automatically routed to a human review queue. The reviewer sees the original document alongside the extracted data, corrects any errors, and confirms the entry. These corrections also feed back into the AI model to improve future accuracy on similar documents.
A standard data entry automation pipeline takes 1-2 weeks to build and deploy: document analysis and field mapping (2-3 days), OCR model training and validation rule configuration (3-5 days), system integration and testing (2-3 days), and go-live with monitoring (1 day). Complex document types with high variation may require an additional week for model training.

Ready to automate your data entry?

Send us a sample batch of documents. We’ll show you the extraction accuracy and processing speed you can expect - free of charge.

No commitment required. We respond within 24 hours.