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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5000+ Completed Projects

90% Returning Clients

16+ Years Experience

45+ Countries Served

50+ Professionals Team

Services We Offer

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.

Data Extraction Services We Offer

We extract usable fields from documents, websites, images, databases and mixed sources while preserving the meaning and structure your downstream workflow depends on.

PDF and document field extraction

We extract names, dates, amounts, addresses, codes, clauses, tables, references, totals and other required fields from PDFs, contracts, invoices, reports, forms and document packets. Each document type is reviewed before production so the team understands where the required information normally appears and how exceptions should be handled when the layout changes. For semi-structured documents, we combine OCR-assisted extraction with manual verification because automated tools often miss footnotes, merged cells, multi-line addresses, handwritten notes or values embedded in paragraph text.

Scanned image and OCR correction

We process scanned images, photographs and OCR outputs where the first automated result is not clean enough for business use. OCR can misread characters, split words, merge columns, drop punctuation or confuse similar numbers and letters. Our team reviews the extracted text against the original image, corrects recognition errors and flags areas that remain unreadable. This is useful for archive projects, old records, application forms, shipping paperwork, medical documents, legal files and any document set where source quality changes from page to page.

Website and portal data extraction

We extract structured information from websites, directories, portals, public records pages and online databases into Excel, CSV or your preferred format. Website extraction projects require more than copying visible text; we define the exact fields, source pages, navigation path, pagination rules, duplicate handling method and acceptable sources before starting. When the source website contains inconsistent layouts, pop-up details, hidden tabs or downloadable documents, we build the workflow around those behaviours and capture the source reference so your team can trace each record back if needed.

Database, report and export extraction

We extract selected fields from existing databases, system reports, CSV exports, XML files, HTML tables and legacy data dumps. These sources may already be digital, but the data is often buried inside the wrong structure, mixed with unused fields or formatted for a system your current workflow no longer uses. We map the fields you actually need, clean the extracted output, separate records that do not meet mapping rules and prepare files that can be reviewed, imported or analysed without manual rework.

Recurring extraction workflow support

We support recurring extraction requirements where the same type of information must be captured weekly, monthly or whenever new files are received. After the first approved batch, we maintain extraction rules for field names, source locations, file naming, output format and exception handling. This is valuable for teams that regularly receive supplier documents, market reports, property records, compliance files, invoices, claim documents or product data and need consistent structured output without assigning internal staff to repetitive extraction work.

Process, Quality and Security

How we extract data while keeping source traceability and field accuracy intact

1. Extraction scope definition

We identify the exact fields to extract, source types, layouts, output format, validation rules and any values that must remain linked to the original source.

2. Secure source review

Documents, website lists or database exports are received through the approved channel and reviewed by the assigned extraction team under the required confidentiality terms.

3. Sample extraction

A representative sample is extracted first so you can confirm field mapping, table handling, source references and how unclear or missing values will appear in the output.

4. Production extraction

The full batch is processed using the approved workflow, combining OCR, structured parsing and manual review depending on the source quality and layout complexity.

5. Validation against source

Extracted records are checked for missing fields, broken tables, incorrect character recognition, duplicate captures, shifted columns and values placed in the wrong fields.

6. Structured delivery

We deliver Excel, CSV, database-ready files or custom templates with source notes and exception records separated for your team's review.

📂 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

Data extraction quality is measured by whether the right value has been captured from the right place, not just whether a cell is filled. We check extracted data against the original source and preserve source references where the project requires auditability.

For confidential documents, customer records, legal files, medical reports or financial information, extraction work is handled under NDA with restricted access. We do not move your source files into unapproved tools or third-party systems without your instruction.

When a document has missing pages, unreadable scans, inconsistent layouts, unclear handwriting or values that conflict across pages, the issue is logged specifically. Your team receives clean extracted records and a clear list of items that need human decision-making.

📄 Document Extraction Fields captured

🔎 Source Review Values verified

🧠 Manual Correction OCR improved

🔗 Traceability Source references

🔐 Secure Handling Files protected

⚠️ Exceptions Listed No guessing

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.

Request a Free Sample Extraction →

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.

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.

Brooklyn A. — 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.

Emilia O. — 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.

Isla G. — 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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