720+ monthly searches · High-demand service
Data Extraction Outsourcing Services
The data you need is locked inside PDFs, scanned documents, web pages, emails, images, and legacy databases. Acelerar's data extraction teams pull structured, accurate data from any unstructured source, so you get clean datasets ready for analysis, reporting, or system import without the manual labor.





















Data Extraction Outsourcing
What are data extraction services?
Data extraction is the process of pulling structured, usable data from unstructured or semi-structured sources: PDFs, scanned documents, web pages, emails, databases, spreadsheets, images, and legacy systems. Businesses generate and receive data in dozens of formats that don't talk to each other. Invoices arrive as PDFs. Competitor pricing lives on web pages. Customer feedback is buried in emails. Research data sits in image-based reports. Data extraction outsourcing means delegating this time-intensive work to specialists who combine AI-powered tools with manual verification to deliver clean, structured datasets, so your analysts, engineers, and decision-makers can work with the data instead of hunting for it.
What We Extract
Structured data from any unstructured source
PDF & document data extraction
Invoices, contracts, financial statements, medical records, insurance claims, tax forms, legal filings. We extract every field you need from native PDFs, scanned documents, and image-based files. AI-powered OCR handles the bulk extraction while human operators verify complex layouts, multi-column tables, handwritten entries, and edge cases that automated tools miss. Output in spreadsheet, database, or API-ready format.
See document processing services →
Web scraping & online data extraction
Product pricing from competitor sites. Business listings from directories. Job postings from career boards. Real estate data from listing platforms. We build and maintain custom extraction pipelines that pull data from websites, portals, and online databases on your schedule (daily, weekly, or on-demand). Structured output delivered in CSV, JSON, or directly to your database.
See data processing services →
Email, image & unstructured source extraction
Customer orders buried in emails. Product specs locked in image-based catalogs. Supplier quotes scattered across attachments. We extract structured data from emails (body, headers, attachments), images (screenshots, photos, scanned cards), and any unstructured source you throw at us. Template-based extraction for recurring formats; custom processing for one-off projects.
See image data entry services →
Database & spreadsheet migration extraction
Data trapped in legacy databases, outdated spreadsheets, or siloed systems that need to move to a modern platform. We extract data from Access, SQL Server, MySQL, PostgreSQL, Oracle, Excel, Google Sheets, and proprietary systems, restructuring and mapping fields to your target schema. Every record validated against the source to ensure zero data loss during extraction and migration.
See data conversion services →
Cost Savings
The real cost of in-house data extraction
A full-time data extraction analyst in the US costs $42,000 to $55,000/year fully loaded. With Acelerar, you get AI-augmented extraction for a fraction.
$48K
per year / per person
Hiring · Training · Benefits · Software licenses · Infrastructure
$14K
per year / per person
Pre-trained · AI-augmented · 99.5% accuracy · Scalable capacity
Why Outsource Data Extraction
Why businesses outsource data extraction to Acelerar
99.5% Extraction Accuracy
Every extracted field verified through multi-layer QA: AI confidence scoring, automated validation rules, double-key verification on critical data, and human review of flagged records before delivery.
Any Source, Any Format
PDFs, scanned documents, web pages, emails, images, databases, spreadsheets, XML files, legacy systems. If data is stored in it, we extract from it. No source too messy, no format too obscure.
70% Cost Savings
Data extraction specialists in the US cost $40,000 to $55,000/year. Our AI-augmented teams deliver the same throughput at 70% less, with no overhead for hiring, benefits, software licenses, or infrastructure.
AI-Augmented Throughput
Our AI-native pipeline processes 3x the volume of manual-only extraction teams. Machine learning handles routine fields while human operators focus on complex, ambiguous, or high-stakes data points.
Scalable On Demand
Need 500 documents extracted this week and 50,000 next month? Our teams scale within 48 hours. No hiring delays, no training ramp, no capacity ceiling. Volume adjusts to your project needs.
ISO 27001 Certified Security
All data transmitted via encrypted channels and processed in secure environments. NDA for every team member. HIPAA-aware handling for healthcare data. Physical access controls and audit trails at all facilities.
AI-Powered
How AI supercharges your data extraction
Our extraction pipeline combines AI automation with human verification, delivering throughput that manual teams can't match and accuracy that pure-automation tools can't guarantee.
AI-Powered OCR & Field Detection
Machine learning models identify document layouts, detect field boundaries, and extract key-value pairs from scanned pages, typed PDFs, and mixed-format files. AI handles 70 to 85% of fields automatically; specialists verify the rest.
Smart Template Learning
Our AI learns your recurring document formats: invoices from specific vendors, claims from specific carriers, reports from specific systems. After processing the first batch, extraction accuracy and speed improve on every subsequent batch.
Confidence Scoring & Anomaly Detection
Every extracted value gets a confidence score. Low-confidence fields are automatically routed to human operators. Anomaly detection flags outliers, format mismatches, and missing required fields before data reaches your systems.
Speed meets accuracy. Our AI-native extraction pipeline processes documents 3x faster than manual-only teams while maintaining 99.5% accuracy, because the AI handles volume and the humans handle judgment.
How It Works
From unstructured sources to clean data in 5 steps
Submit Sources
Share your documents, URLs, databases, or files via secure upload portal, SFTP, or API. Any format, any volume, any source type
Analyze & Map
We audit your source materials, define extraction fields, map data relationships, and configure validation rules tailored to your requirements
Extract
AI-powered tools handle bulk extraction while human operators process complex layouts, handwritten entries, and edge cases
Validate & QA
Multi-layer quality assurance: confidence scoring, automated validation, double-key verification on critical fields, and human spot-checks
Deliver
Clean, structured data delivered in your preferred format: CSV, Excel, JSON, XML, SQL, or direct import into your CRM, ERP, or database
We deliver data to your platforms
Our teams are trained on the platforms you already use.
What our data extraction clients say
“The Acelerar team is a self-sustaining machine. They've become an extension of our own team.”
“Acelerar handled our entire catalog migration (50,000+ SKUs) without a single missed deadline.”
“We needed reliable, fast data entry at scale. Acelerar delivered consistent quality from day one, no ramp-up time needed.”
Industry Outlook
Where data extraction outsourcing is heading
The data extraction market is accelerating as unstructured data volumes grow and AI-powered extraction tools become essential for competitive operations.