Someone on your team manually copies data from PDFs to a spreadsheet every day?
Data that should be in your database is sitting in email attachments?
Data Extraction Automation Services
Your business data lives in documents, PDFs, emails, websites, and legacy systems that weren't designed to share it. Extracting it manually costs you time, introduces errors, and creates a process that can't scale.
We build automated data extraction systems that pull structured data from any source -- with AI when the content is unstructured, and direct integration when the source has an API.
AI-powered extraction from PDFs, images, emails, and web sources
Structured output delivered directly to your database, ERP, or data platform
Accuracy validation and exception handling for low-confidence extractions
Built an industrial OCR and data extraction system deployed in production
Trusted by startups & global brands worldwide
Data locked in documents is data you can't use
Every business has data in places it can't easily reach. Invoices in email attachments that need to be keyed into the ERP. Product data on supplier websites that needs to be in your catalogue. Report data in PDFs that needs to be in your analytics database. Application data in forms that needs to be in your CRM.
Manual extraction is the solution that scales linearly with volume. When the volume doubles, the headcount doubles. When the volume spikes, the backlog grows and accuracy drops. Automated extraction changes the relationship between data volume and processing cost.
What we extract and where we deliver it
Document OCR and extraction
AI-powered reading of any document -- invoice, contract, application form, report, label -- with extraction of the fields that matter. We've built production OCR systems for industrial environments. The output is clean, structured data ready for your systems.
Web data extraction
Automated scraping of pricing data, product listings, competitor information, public filings, and market data from websites. Structured output delivered to your database or data platform on a schedule. Anti-bot handling, proxy rotation, and change detection built in.
Email and attachment extraction
Extraction from emails and their attachments -- invoice PDFs from supplier emails, order confirmations, shipping notifications, and application attachments. Triggered by arrival, processed automatically, and delivered to your system without human intervention.
Legacy system screen scraping
For legacy systems with no API, we build browser automation that navigates the system, extracts the required data, and delivers it to your modern platform. A bridge between old systems and new ones that lets you keep what works while getting the data out.
Database and API data extraction
Pulling data from databases, REST APIs, GraphQL endpoints, and third-party platforms. Transformation, cleaning, and standardisation before delivery. Scheduled or event-triggered. The integration layer between systems that should be connected but aren't.
Validation and exception handling
Every extraction pipeline includes validation -- checking that extracted values match expected formats, fall within expected ranges, and pass business rules. Low-confidence extractions are flagged and routed for human review. Corrections feed back into the extraction model.
What data are you extracting manually today?
Tell us the source and the destination. We'll design the automation and give you a fixed cost.
Frequently asked questions
We've built extraction pipelines for: PDF documents (invoices, contracts, reports, forms), scanned images and photos, HTML web pages (web scraping with anti-bot handling), emails and email attachments, Excel and CSV files, structured XML and EDI feeds, database exports, and legacy system screen scraping where no API exists. The extraction method depends on the source -- AI OCR for unstructured documents, direct parsing for structured formats, browser automation for web sources.
For high-quality digital PDFs and well-structured documents, accuracy is typically 97--99%. For scanned documents or poor-quality images, accuracy depends on scan quality and document consistency. We improve accuracy through document pre-processing (image enhancement, deskewing), vendor-specific extraction templates for high-volume sources, confidence scoring with human review for low-confidence extractions, and validation rules that cross-check extracted values against expected formats and ranges. Most production systems achieve 85--95% straight-through processing rates.
We deliver structured output in whatever format your downstream system needs -- JSON for API integrations, SQL INSERT statements or database writes, CSV or Excel for data platforms, XML for ERP systems. We design the output schema with you during scoping, map the extracted fields to your target data model, and handle the transformation between how data appears in the source document and how your system expects to receive it.
Variable document formats are the main challenge in extraction. We handle them through: adaptive templates that match documents to the right extraction configuration by layout, AI-based extraction that generalises better than rule-based approaches, and exception queues where low-confidence extractions are reviewed and the correction feeds back into the extraction model. For completely novel formats, we build fallback to human review with guided extraction -- faster than starting from scratch.
Source formats change. Web pages update their HTML. Document templates get revised. Vendors change their invoice format. We build extraction systems with monitoring that detects when extraction accuracy drops -- a signal that the source has changed -- and alerts you before you have a backlog of failed extractions. We include a support period after launch to handle format changes as they occur.
A focused extraction system -- one document type, one output target -- typically runs $15,000--$40,000. Multi-source extraction pipelines with complex transformation logic and multiple output destinations run $40,000--$100,000. Web scraping projects vary significantly by site complexity and anti-bot measures. We scope every project before pricing it.