Data Extraction Services

Data Extraction Services for Structured, Verified Output from Any Source Type

We provide professional data extraction services for businesses that need specific information pulled accurately from PDFs, websites, scanned documents, databases, ERP system exports and legacy files into clean, structured formats their downstream systems and analysis workflows can use. The challenge with extraction is not accessing the source — it is handling structural complexity, missing values, layout variation across records and the quality gap between what automated tools produce and what a downstream system actually accepts.

Our offshore extraction team in India handles both document-based and web-based extraction, combining automation tools with systematic manual review and correction to deliver output that is complete, consistently structured and verified against source before delivery. We do not hand off raw tool output and call it a completed extraction.

Every extraction project begins with a source analysis: we review a sample of your source files or URLs, identify the structural characteristics and complexity level, plan the extraction approach and produce a sample extraction for your review before full-volume production. This prevents the common situation where a bulk extraction project is completed only to reveal that the output structure does not match what the downstream system requires.

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✓ PDF Field Extraction ✓ Web and Portal Extraction ✓ Database Export Processing ✓ Scanned Document Extraction ✓ Structured Output Delivery

Trusted & Secure

🔒NDA Protected 🌐GDPR Aware ✅99.9% Accuracy 🎯Free Pilot Batch ⚡Fast Turnaround 🌍45+ Countries Served

5000+ Completed Projects

90% Returning Clients

16+ Years Experience

45+ Countries Served

50+ Professionals Team

Service Overview

Expert data extraction solutions built for downstream accuracy and immediate system compatibility

Source structure analysis and field mapping
Automated extraction with appropriate tools
Manual correction and gap identification
Structural complexity handling
Output format validation
Exception and completeness reporting

Effective data extraction requires understanding the source structure before building the extraction workflow. Which fields are consistently present? Which vary in position across documents? Which require contextual interpretation to extract correctly? Which are sometimes absent and need to be flagged rather than filled with placeholder values? These questions are answered in the source analysis before any extraction work begins.

For document-based extraction, we work with PDFs (native text and scanned), Word files, Excel files, scanned images, printed reports and legacy electronic files. For web-based extraction, we collect from websites, portals, directories and public databases with systematic source coverage and quality checking throughout.

Our India-based extraction team provides reliable, scalable extraction capacity for one-time projects and ongoing recurring collection workflows — at rates that make offshore extraction practical for projects that would be too expensive or too slow to handle with in-house resources.

What We Extract

Data Extraction Services for Every Source Type and Downstream Use Case

Each extraction type requires a specific approach based on source structure, quality level and the requirements of the downstream system receiving the output.

PDF and document field extraction

We extract specific fields from PDF reports, financial statements, invoices, contracts, forms, product specifications and other document files into structured Excel or CSV output with correctly mapped columns, consistent field formatting and accurate values. For native text PDFs, extraction uses text layer access combined with pattern recognition for consistent field positions and manual handling for variable layouts. For scanned image PDFs, OCR provides the base text layer and manual correction addresses the recognition errors and structural problems that automated processing introduces. Complex PDF layouts — tables with irregular row structures, multi-column content, nested tables, embedded footnotes — are handled with the manual work needed to produce a correctly structured output rather than a quick tool run that produces structurally broken output.

Website and portal data extraction

We extract structured data from websites, business directories, product listing pages, property portals, job boards, public databases and other online sources. Web extraction planning covers source structure analysis, pagination handling, dynamic content identification, layout variation across records and change detection for ongoing projects. For each source, we confirm the available fields, handle missing values consistently and structure the output for direct CRM import or analysis tool use. For ongoing web extraction arrangements, we monitor source layout changes and update the extraction approach when the source website changes its structure — preventing the silent extraction failures that occur when sites change without notification.

Database and system export processing

We process raw database exports, ERP system downloads, legacy data files and unstructured system output files into clean, validated structures aligned with your target system requirements. Database exports often arrive with field naming inconsistencies, data type mismatches, null value handling differences and relational structure that needs to be flattened or restructured for the target platform. We review the source export structure, map it to the target schema, identify data quality issues that should be resolved before the extraction is used and confirm the mapping with a sample before the full extraction is processed.

Scanned image and visual text extraction

We extract text and field data from scanned images, photographed documents, image-based PDFs and other visual text sources using OCR processing combined with systematic manual correction. The accuracy achievable from scanned image extraction depends on image quality — resolution, contrast, font clarity and page condition. After reviewing a sample of your source images, we provide a realistic accuracy expectation for your specific document set. Records where source quality prevents confident extraction are flagged in an exception report with specific notes rather than processed with guessed values.

Recurring extraction workflow management

For ongoing extraction needs — daily price feeds from competitor sites, weekly directory updates, monthly report data, quarterly financial filing extractions — we set up recurring extraction workflows that deliver consistent, correctly formatted output on your schedule. For each recurring workflow, we document the extraction specification, maintain the extraction approach as source structures change over time and provide consistent output format so your downstream system receives compatible files on every delivery cycle.

Inputs and Output

We work with the files you already have

📂 Source formats we accept

PDF files (native text and scanned image)
Website URLs and portal sources
Database exports and ERP downloads
Scanned images and photographed documents
Legacy software output files

📤 Delivery formats

Excel / CSV structured datasets
XML / JSON for system import
Database-ready structured files
API-compatible output formats
Exception and gap reports

How It Works

How we manage data extraction projects

Data Quality Assessment

A representative sample of your dataset is reviewed to identify quality issue types, frequencies and distribution. You see the actual problems clearly before scope and approach are confirmed — no surprises mid-project.

Rule Documentation and Confirmation

Processing rules, standardisation vocabulary, validation criteria, deduplication logic and exception handling decisions are documented and confirmed with your team before any production changes are made to your data.

Pilot Processing Batch

A pilot batch is processed using the confirmed rules and reviewed by your team before full processing is committed. Rule adjustments from the pilot are applied immediately before production begins.

Systematic Batch Processing

Full dataset processed in defined batches. Standardisation and transformation applied consistently across every record — not selectively. Validation checks between phases maintain rule consistency throughout.

Exception Reporting

Records where processing rules cannot be applied due to missing, conflicting or ambiguous information are documented specifically by field and reason. Clean and exception records delivered separately with clear documentation.

Validated Output and Processing Documentation

Cleaned dataset delivered alongside processing documentation showing rules applied, changes made by field and frequency, and an exception inventory summary for your team's review and action.

Need specific data extracted from complex or high-volume sources?

Share a sample of your source files or URLs and describe your target output format. We run a free extraction sample so you can review field accuracy, structural quality and exception handling before committing to the full project.

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Free extraction sample returned within 24 hours.

Why Outsource to SDES?

Why organisations outsource data processing and quality work to SDES India

Source quality assessed and documented before any correction is committed
Processing rules confirmed in writing before touching your dataset
Deduplication with your confirmed merge rules — not automated assumptions
Every change logged so you see exactly what was modified and why
Output validated against your target system requirements before delivery
Scalable for large datasets, migrations and time-critical transformation projects

Data quality and processing work is expensive to undo if done incorrectly. Incorrectly merged duplicates are difficult to separate. Incorrectly transformed values populate a target system with errors that compound over time. We invest in the assessment phase — reviewing your actual data, identifying issue types and frequencies, and documenting transformation rules before any changes are made.

The output of every processing project includes not just a cleaned file but documented rules explaining what was changed, what was flagged and what could not be resolved. That transparency gives your team full visibility into the state of your data after processing.

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Industries We Support

Data extraction solutions across document-intensive and data-driven industries

eCommerce

Online retailers and marketplace sellers that need accurate product data, catalog management, marketplace listing support and order management data entry handled consistently at scale without burdening their internal team.

Healthcare

Medical practices, billing companies and healthcare providers that handle patient records, clinical data, insurance information and billing documentation requiring precise entry and confidential handling.

Real Estate

Property firms, real estate agencies and title companies managing listing details, transaction records, deed data and client databases across large and growing portfolios.

Finance

Accounting firms, finance departments and financial services companies processing invoices, statements, claims, reconciliation records and financial document data at recurring volume.

Legal

Law firms and legal departments digitising and managing case files, contracts, compliance records, court documents and legal correspondence with appropriate confidentiality controls.

Logistics

Freight companies, 3PLs and supply chain teams maintaining accurate shipment records, supplier data, inventory counts and delivery documentation across high-volume operations.

Manufacturing

Manufacturers needing product specifications, supplier records, quality inspection data and inventory management data entry for production and procurement systems.

Agencies

Marketing agencies, digital agencies and business services firms outsourcing data entry, list building, research and campaign data management to a reliable offshore partner.

Quality and Security

Accurate output, handled securely

NDA executed before any dataset is shared. Access restricted to the processing team assigned to your project. For datasets containing personally identifiable information, we apply data minimisation — operators access only the fields required for the specific processing task, not the full dataset.

We never overwrite source values without creating a documented log. The processing output records what was in the source, what was changed, what standardisation was applied and what was flagged as unresolvable. Your team can review and reverse specific changes if required.

For regulated data types — GDPR-covered personal data, HIPAA-covered health information, financial data with sector-specific obligations — we confirm specific handling requirements before processing begins and document our approach against your compliance requirements.

🔒 NDA Protected Before files are shared

🌐 GDPR Aware EU data handling

✅ 99.9% Accuracy Multi-level QA checks

🛡️ Secure Transfer Encrypted file access

📋 Exception Log Every delivery

👥 Project Team Only Controlled access

Client Feedback

What clients say about our data extraction work

★★★★★

We had a CRM database with 22,000 contacts accumulated from multiple import sources over six years. SDES ran a quality audit first, gave us a clear picture of the problem, then processed the full deduplication and standardisation with our confirmed merge rules. The result was a CRM our sales team actually started trusting and using.

CRM Manager B2B Technology Company, USA

★★★★★

Our product catalog had five years of attribute vocabulary drift across 8,300 products. SDES standardised 140 attribute option values consistently — not just on recent additions. Layered navigation on our store started working correctly the week of the import.

Head of Digital Commerce Industrial Distributor, Germany

★★★★★

The processing report SDES delivered alongside the clean file was more useful than the file itself for understanding the state of our legacy data. We knew exactly what had been changed, what had been flagged and what needed decisions from our team. That transparency made the whole migration significantly easier.

Data Governance Lead Financial Services Business, Australia

FAQs

Questions clients ask before outsourcing data extraction

What types of sources can you extract data from?

We extract from PDF files (native text and scanned), websites and web portals, business directories, database exports and ERP system downloads, Excel and CSV files, Word documents, scanned images and photographed documents, and legacy software output formats. If you have a source type you are uncertain about, share a sample and we assess feasibility before quoting.

Can you handle PDFs with complex table structures?

Yes. Complex table structures — merged cells, multi-level headers, columns spanning irregular row counts, tables within tables — require manual correction after automated extraction rather than pure automated processing. We plan for this complexity at project setup and reflect it in the timeline and quote.

How do you handle missing or inconsistent fields in the source?

Missing required fields and structurally inconsistent values are flagged in a specific exception log with record reference and issue noted. We never fill uncertain fields with assumed or placeholder values — the decision about how to handle missing data stays with your team.

Can you set up recurring daily or weekly extraction?

Yes. Recurring extraction workflows for price monitoring, directory updates, report data and other regular collection needs are fully supported. We maintain consistent output format and handle source structure changes as they occur.

What output formats can you deliver extraction results in?

Excel, CSV, JSON, XML, database import files or any custom format your downstream system requires. Output format is tested in the pilot extraction before full production.

How accurate is automated web extraction?

Accuracy depends on source layout consistency and structure. Well-structured sources with consistent field positions achieve high extraction accuracy. Variable or poorly structured sources require more manual review. We always combine automated extraction with quality checking and never deliver unchecked tool output.

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