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 workflow showing unstructured sources like PDFs, web pages, and emails being converted into clean structured datasets
500+
Teams Deployed
99.5%
Accuracy SLA
70%
Avg Cost Savings
7-Day
Team Deployment
4.9 out of 5·from 120+ verified reviews
Clutch (4.9)Google (4.8)GoodFirms (5)

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.

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.

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PDF data extraction showing invoice fields being identified, captured, and organized into structured spreadsheet rows

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.

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Web data extraction interface showing product listings being scraped from multiple websites into a unified comparison database

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.

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Email and image data extraction showing unstructured content being parsed into organized database records

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.

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Database extraction diagram showing records being pulled from legacy systems and mapped to modern cloud database schema

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.

In-House Data Extraction

$48K

per year / per person

Hiring · Training · Benefits · Software licenses · Infrastructure

With Acelerar

$14K

per year / per person

Pre-trained · AI-augmented · 99.5% accuracy · Scalable capacity

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.

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.

From unstructured sources to clean data in 5 steps

1

Submit Sources

Share your documents, URLs, databases, or files via secure upload portal, SFTP, or API. Any format, any volume, any source type

2

Analyze & Map

We audit your source materials, define extraction fields, map data relationships, and configure validation rules tailored to your requirements

3

Extract

AI-powered tools handle bulk extraction while human operators process complex layouts, handwritten entries, and edge cases

4

Validate & QA

Multi-layer quality assurance: confidence scoring, automated validation, double-key verification on critical fields, and human spot-checks

5

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.

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.

2025
$3.1B
Global data extraction software market
Mordor Intelligence, 2024
2030
$8.9B
Projected data extraction market size
Mordor Intelligence, 2024
2025
80%+
Of enterprise data is unstructured
IDC, 2024
ISO 27001 Certified
ISO 9001:2015
NDA for Every Team Member
Encrypted Data Transfer

Data Extraction Services FAQs

Data extraction is the process of pulling structured, usable data from unstructured or semi-structured sources. This includes extracting information from PDFs, scanned documents, web pages, emails, images, databases, spreadsheets, and legacy systems, and delivering it in a clean, organized format ready for analysis, reporting, or system import.
We extract data from virtually any source: native and scanned PDFs, Word documents, web pages and online databases, emails and attachments, images and screenshots, Excel and Google Sheets files, Access and SQL databases, XML and JSON files, legacy systems (AS/400, COBOL exports, FoxPro), and proprietary file formats. If data exists in it, we can extract from it.
Pricing depends on source complexity, extraction volume, number of fields, and turnaround requirements. On average, outsourcing saves 60 to 70% compared to in-house extraction teams. We offer per-document, per-record, per-hour, and monthly retainer pricing models. Contact us with sample documents for a custom quote within 24 hours.
We guarantee 99.5% accuracy with our standard SLA. For critical financial, healthcare, or legal data, we apply double-key verification where two operators independently extract the same records and discrepancies are flagged for supervisor review. AI confidence scoring adds an additional validation layer on every field.
Yes. We combine AI-powered OCR with human verification to extract data from scanned documents, photographed records, screenshots, and image-based files. Our team handles OCR cleanup, corrects misrecognized characters, rebuilds table structures, and verifies handwritten entries that automated tools typically struggle with.
Data entry involves manually typing data from a source into a system. Data extraction is the broader process of identifying, locating, and pulling specific data points from unstructured or semi-structured sources using a combination of AI tools and human expertise. Extraction often precedes entry: you extract the data first, then enter it into your target system. We offer both services.
Yes. For web scraping projects, report extraction, and recurring document processing, we build and maintain automated extraction pipelines that run on your schedule (daily, weekly, or triggered by new document uploads). Human operators monitor pipeline health and handle exceptions. Perfect for competitor pricing, market research, and ongoing document processing.
We are ISO 27001 certified. All team members sign NDAs. Data is transmitted via encrypted channels (TLS 1.2+), processed in secure environments, and stored with access controls. We support HIPAA-compliant processing for healthcare data, and we can work within your VPN or secure portal. Full audit trails track every document through the extraction pipeline.
We deliver extracted data in any format you need: CSV, Excel (XLSX), Google Sheets, JSON, XML, SQL database imports, API payloads, or direct entry into your CRM, ERP, or database system. We match your existing data schemas, field naming conventions, and formatting standards.
Yes. We regularly process extraction projects ranging from 1,000 to 500,000+ documents. Our AI-augmented pipelines are built for volume: template learning improves speed over time, parallel processing queues handle batch loads, and team capacity scales within 48 hours for surge projects or seasonal peaks.
AI accelerates extraction in three ways: (1) OCR and field detection identify and extract data from documents 3x faster than manual-only processing; (2) template learning means the system gets faster and more accurate on recurring document formats; (3) confidence scoring routes low-certainty fields to human operators, so specialist time is spent where it matters most. The result is higher throughput and higher accuracy than either pure-AI or pure-manual approaches.
Yes. We build custom web scraping solutions for product pricing, business directories, job boards, real estate listings, market research data, and public records. Data is delivered in structured format on your schedule. We handle anti-scraping measures, pagination, dynamic content, and data normalization across multiple source sites.

Data trapped in the wrong format? Let's extract it.

Get a custom quote for your data extraction project (PDFs, web pages, emails, images, or databases) within 24 hours.

No commitment required. We respond within 24 hours.