99.5% accuracy · OCR + human verification
Data Capture Services
Paper forms, scanned invoices, handwritten documents, and digital files are piling up, and the data trapped inside them isn't reaching your systems. Acelerar's data capture teams extract, validate, and deliver structured data from any source using OCR, ICR, OMR, and manual keying with 99.5% accuracy.





















Data Capture
What is data capture?
Data capture is the process of collecting and extracting data from physical and digital sources (paper forms, scanned documents, invoices, receipts, surveys, images, and electronic files) and converting it into structured, machine-readable formats for your database or business system. Technologies include Optical Character Recognition (OCR) for printed text, Intelligent Character Recognition (ICR) for handwriting, Optical Mark Recognition (OMR) for checkboxes and bubbles, and manual keying for sources that automated tools cannot reliably process. The goal is simple: get data off paper and out of unstructured files into your systems accurately and fast, so your business can act on it.
Market Data
The data management outsourcing market
Data management outsourcing is growing as businesses deal with increasing data volumes.
What We Capture
Every document type, every source format
Form & survey capture
Application forms, enrollment documents, registration sheets, patient intake forms, and survey responses contain critical data locked in paper and PDF formats. Our teams process high-volume form capture using OCR for printed fields, ICR for handwritten entries, and OMR for checkboxes and multiple-choice selections. Each captured field is validated against business rules (required fields, format checks, and cross-field logic) before delivery. We handle structured forms with fixed layouts and semi-structured forms where field positions vary.
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Invoice & receipt capture
Accounts payable teams drown in invoices: different vendors, different layouts, different formats. We capture invoice data including vendor name, invoice number, line items, quantities, unit prices, totals, tax amounts, and payment terms from paper invoices, scanned PDFs, and email attachments. Receipt capture extracts date, merchant, items, and amounts for expense management. AI-assisted extraction handles 80% of fields automatically; specialists verify the remaining 20% for 99.5% accuracy.
See invoice data entry services →
Document & record capture
Contracts, medical records, insurance claims, legal documents, and historical archives contain data your organization needs in digital form. We capture data from structured documents (fixed layouts with consistent fields) and unstructured documents (contracts, letters, reports where relevant data appears in varying positions). Our teams handle multi-page documents, poor-quality scans, faded print, and mixed-format batches that automated tools alone cannot process reliably.
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Image & handwriting capture
Handwritten notes, field inspection reports, legacy paper records, and image-based documents are the hardest data capture challenges. Standard OCR fails on handwriting, poor-quality images, and non-standard layouts. Our ICR-trained specialists capture handwritten entries with 95%+ accuracy, extract data from photographs of whiteboards and field notes, and process legacy documents that predate digital record-keeping. Every captured field is double-keyed or peer-reviewed for quality assurance.
See image data entry services →
Cost Comparison
In-house data capture vs. Acelerar
See how outsourcing data capture reduces your per-document cost by 70% while improving accuracy and turnaround time.
$55,000/yr
per year / per person
Per full-time operator. Includes salary, benefits, scanning equipment, OCR software licenses, training, and management overhead for a US-based data capture specialist
$16,500/yr
per year / per person
Per dedicated specialist. Includes salary, AI-powered OCR tooling, scanning infrastructure, QA validation, and 99.5% accuracy SLA at a fraction of the cost
Why Outsource Data Capture
Why businesses outsource data capture to Acelerar
99.5% Capture Accuracy
Every captured field is validated against source documents and business rules. Double-keying, peer review, and automated validation ensure your data meets the 99.5% accuracy SLA before delivery.
Any Source, Any Format
Paper forms, scanned PDFs, faxes, images, email attachments, handwritten documents, and digital files. If data exists on it, we capture from it. No source format is too old, too messy, or too complex.
OCR + ICR + OMR + Manual
We deploy the right capture technology for each document type. Printed text gets OCR. Handwriting gets ICR. Checkboxes get OMR. Complex or poor-quality sources get manual keying. Most projects use a combination.
System-Ready Output
Captured data is formatted, validated, and delivered in your system's required format: CSV, Excel, XML, JSON, or direct database/EHR/ERP imports. No reformatting or cleanup needed on your end.
70% Cost Savings
In-house data capture operations require scanning hardware, OCR software licenses, trained operators, and QA staff. Acelerar delivers the same output at 70% less, with no capital expenditure on your side.
HIPAA & ISO 27001 Compliant
Healthcare forms, insurance claims, and financial documents require strict data security. Our teams operate under HIPAA-compliant protocols, ISO 27001-aligned controls, encrypted transfers, and signed NDAs.
AI-Powered
How AI supercharges your data capture
Our data capture process combines AI-driven extraction with human verification for speed and accuracy that neither approach achieves alone.
AI-Powered OCR & ICR
Advanced optical character recognition extracts printed and handwritten text from scanned documents, images, and PDFs. AI handles routine fields with 95%+ accuracy while specialists verify ambiguous characters and complex layouts.
Intelligent Document Classification
Machine learning automatically classifies incoming documents by type (invoice, form, receipt, contract) and routes them to the appropriate capture workflow. No manual sorting required, even for mixed-format batches.
Smart Validation & Error Detection
AI-driven validation catches capture errors in real time: format mismatches, missing required fields, values outside expected ranges, and cross-field logic failures. Reduces error rates by 80% compared to manual-only capture.
Automation where it works. Humans where it matters. Our AI-native capture pipeline processes 80% of fields automatically and routes the remaining 20% to trained specialists, delivering both speed and accuracy.
How It Works
From physical documents to structured data in 5 steps
Receive
Documents arrive via secure upload, email, FTP, or direct system access. We accept scanned PDFs, images, faxes, and physical mail digitized through our scanning partners.
Classify
AI classifies each document by type and routes it to the appropriate capture workflow. Mixed batches are sorted automatically: invoices, forms, receipts, and contracts each follow optimized extraction paths.
Capture
OCR, ICR, and OMR extract data from each document. AI handles routine fields automatically while specialists process handwritten entries, poor-quality scans, and complex layouts manually.
Validate
Every captured field is checked against business rules, format standards, and source documents. Errors are flagged, corrected, and re-verified before approval.
Deliver
Validated data is delivered in your required format or imported directly into your database, ERP, EHR, or document management system. Includes a capture quality report with accuracy metrics.
We deliver captured data to your platforms
Our teams are trained on the platforms you already use.
What our data management clients say
“The Acelerar team is a self-sustaining machine. They've become an extension of our own team.”
“We needed reliable, fast data entry at scale. Acelerar delivered consistent quality from day one, no ramp-up time needed.”
“Acelerar handled our entire catalog migration (50,000+ SKUs) without a single missed deadline.”
Industry Outlook
Where data management outsourcing is heading
Data volumes are exploding, and outsourced data management teams are evolving with AI capabilities.