DEH Technologies LLC Unclaimed
United States
AI-powered invoice data extraction platform that turns invoices into structured data at scale.
DEH Technologies LLC provides an AI-powered invoice data extraction platform that converts invoices and related financial documents into structured data, enabling scalable processing for finance and accounting teams while prioritizing security and data privacy through DPAs and retention controls.
To deliver secure, scalable AI-powered invoice data extraction that enables businesses to automate financial workflows while safeguarding customer data and ensuring compliance.
What we offer
Invoice Data Extraction
Efficiently extract and convert invoice data to structured formats with AI-driven precision.
invoicedataextraction.com/Bank Statement Converter
Convert bank statements into structured Excel or CSV transactions effortlessly.
invoicedataextraction.com/bank-statement-converterReceipt OCR
Efficiently digitize and categorize your receipts into structured data.
invoicedataextraction.com/receipt-ocrUtility Bill Data Extraction
Efficiently extract and analyze utility bill data in structured formats.
invoicedataextraction.com/utility-bill-data-extractionPayroll Data Extraction
Transform complex payroll documents into structured data effortlessly.
invoicedataextraction.com/payroll-data-extractionPDF Data Extraction
Efficiently extract and structure data from PDFs into Excel or JSON without templates.
invoicedataextraction.com/pdf-data-extractionMarket segments
Market size by segment
Growth potential (CAGR)
Accounts payable automation
Capabilities to automate invoice capture, matching, bill processing, and payments to accelerate payables and reduce manual AP work.
Expense management
Employee expense capture, corporate card reconciliation, policy enforcement, global reimbursements, and ERP synchronization to control employee spend and simplify reporting.
Payroll data capture
Extract payslip and payroll run data into structured formats to support payroll processing, tax reporting, and audit traceability.
Bank statement processing
Convert bank statements into transaction-level structured data to support reconciliation, cash management, and financial analysis.
Utility bill management and auditing
Capabilities to capture, validate, audit, and manage utility invoices, vendor data, and chargebacks across portfolios to reduce billing errors and administrative costs.
More information about our offering
Invoice Data Extraction
AI-powered platform that extracts structured data from invoices and related financial documents. It supports high-volume processing across hundreds to thousands of pages, producing spreadsheets with your chosen columns in Excel, CSV, or JSON. Users describe required fields in plain language; the system infers the best layout and outputs with source references for audit trail. The service emphasizes security and privacy: outputs are not used to train models; data is hosted in the United States with short retention, and DPAs are available. A free tier of 50 pages per month and pay-as-you-go pricing are available, with API access and official SDKs for Python and Node.js. Inputs can come from scans, PDFs, and images, and uncertain values are flagged for review.
- Integrate SeamlesslyEasily embed extraction capabilities into your own applications using our SDKs.
- Process Thousands of PagesEffortlessly manage large batches of invoices without compromising on speed or accuracy.
- Ensure Data SafetyRobust measures to protect your data and privacy compliance.
- Detailed ExtractionCapture detailed data by choosing between extracting entire invoices or specific line items, ensuring precision in every dataset.
- Utilize Various FormatsInput documents in multiple formats for flexible processing options.
- Simplify Data RequestsCommunicate what you need without complex configurations or templates.
- Achieve Versatile ExtractionAdapt to various invoice styles with dynamic, prompt-driven outputs.
- Adapt to Any LayoutFlexibly process invoices with varying designs and layouts without manual configuration.
- Receive Flexible OutputsGet structured data back in your preferred format for easy integration.
- Start with Free PagesAccess core functionalities without upfront costs.
- Ensure AccuracySpot check potential errors with designated alerts before finalizing outputs.
- Maintain Audit TrailsSupports accountability with direct links to original documents.
Bank Statement Converter
Bank statement converter turns bank statements into structured data in Excel, CSV, or JSON. It supports multiple statements from different banks, producing line-item level data and allowing output without templates. Describe the desired columns in plain language for one workflow across vendors. Includes 50 free pages per month and pay-as-you-go pricing; API access and Python/Node.js SDKs enable integration.
- Integrate EasilyAutomation of workflows through API access increases efficiency and comfort for developers.
- Detailed Transaction DataEach transaction is captured with precision, making financial analysis straightforward.
- One Workflow for AllProcess statements across various banks collectively, simplifying financial management.
- Flexible Input OptionsSupports a variety of file types, enhancing usability for different users.
- Seamless Data ExtractionUsers can describe exactly what data they need, reducing setup time and errors.
- Multiple Output ChoicesUsers can choose preferred formats for better integration with various applications.
- Cost-Effective PricingAffordable access with no upfront costs, ideal for varying usage needs.
Receipt OCR
Receipt OCR reads receipts into structured data for expense tracking. It converts receipts to Excel, CSV, or JSON with date, merchant, total, and category columns defined in plain language. You can select whether to output per receipt or per line item; supports photos, scans, and PDFs; multi-language support; 50 free pages monthly; API access and SDKs; and Source File references for audit.
- Export Data FreelyReceive your structured data in the format that suits your needs: Excel, CSV, or JSON.
- Simplify Expense TrackingUse simple language to define your categories for efficient and accurate expense organization.
- Handle Various Input TypesCapture your receipts in multiple formats including images, scans, and PDFs for easy processing.
- Flexible Data OutputChoose whether to organize your data by receipt or item level based on your tracking needs.
- Streamline Large Volume DataEfficiently process large quantities of receipts in a single batch for optimal productivity.
- Streamline Processes with API AccessIntegrate receipt processing into your own applications using our REST API, allowing for efficient data workflows.
- Cost-Effective ProcessingAccess 50 free pages each month without subscription, and enjoy flexible payment options based on usage.
- Access Global FlexibilityEasily handle receipts in multiple languages and currencies, normalizing data for your needs.
- Ensure Data AccuracyEach extracted item comes with a Source File reference and flags for any uncertain values requiring human review.
Utility Bill Data Extraction
AI utility bill data extraction turns electricity, gas, water, and telecom bills into clean Excel, CSV, or JSON — charges and consumption together, across any mix of suppliers, sites, and languages. Describe the columns in plain language; output as cost-and-usage rows. Includes multi-site, multi-supplier support and 50 free pages per month; API access and Python/Node.js SDKs for integration.
- Integrate SeamlesslyProvides API and SDKs to automate extraction workflows and integrate with existing systems.
- Streamline Data ReviewCombines costs and usage data into actionable rows for easy analysis and decision-making.
- Comprehensive Billing InsightAllows users to analyze financial and resource consumption data conveniently in one row.
- Unify Billing Across LocationsEfficiently process bills from numerous suppliers and locations in one comprehensive output.
- Ease of UseEliminates setup complexity by inferring layout directly from user input, enhancing user experience.
- Flexible Document HandlingSupports diverse input formats, enabling wide-ranging document processing capabilities.
- Versatile Data ExportProvides multiple output options for easy integration into various systems and workflows.
- Cost-Effective UsageAccess to free tiers and flexible payment models to cater to all user needs.
Payroll Data Extraction
AI payslip and payroll data extraction turns payslips, pay stubs, and payroll reports into clean Excel, CSV, or JSON — with gross pay, statutory deductions, net pay, and reference fields for audit. Describe columns in plain language; extract across countries and providers; supports one payslip or an entire payroll run. Includes 50 free pages monthly; API access and SDKs; data never trained on AI models and is auto-deleted per policy.
- Adapt to Local StandardsHandle diverse payroll formats across various countries without the need for predefined templates, ensuring accuracy in every extraction.
- Detailed ReportingGenerate comprehensive reports that provide complete visibility of payroll details for audits and reconciliation.
- Integrate SeamlesslyEffortlessly integrate payroll data extraction into your existing applications using our powerful APIs and SDKs.
- Cost-EffectiveEnjoy flexible billing with monthly free pages and pay only for what you use without any hidden fees.
- Ensure AccountabilityMaintain a clear audit trail with references to original documents, enhancing compliance and verification.
- Simplify Data InputUse easy-to-understand prompts to define which columns to extract, streamlining the data retrieval process.
PDF Data Extraction
PDF data extraction pulls data from PDFs into Excel, CSV, or JSON. It handles tables, line items, and fields across business PDFs, whether digital or scanned, and outputs into a single sheet or multiple sheets as configured. Describe the data you want in plain language; no templates. Includes 6,000 files per batch and 5,000-page PDFs; outputs include source-file references and Review Needed flags if values are uncertain. API access and SDKs available; 50 free pages monthly.
- Integrate SeamlesslyLeverage the REST API and SDKs for direct integration into workflows, enabling automated data extraction.
- Process Large BatchesHandle extensive document collections efficiently, turning thousands of PDFs into structured data in one go.
- Comprehensive Data CaptureEffortlessly extract complex data structures from various PDF layouts.
- Flexible CustomizationSimply describe the needed data in plain language—no cumbersome templates required.
- Choose Your FormatGet your data in the format that suits your needs, whether for reporting or integration.
- Maintain AccountabilityEvery piece of extracted data is linked back to its original document for verification.
- Ensure AccuracyAutomatic warnings highlight values that need human verification, enhancing data integrity.
- Affordable AccessStart with free access and scale your usage based on your needs without long-term commitments.
References
Methodology and sourcing behind the figures shown above.
Accounts payable automation
Estimate synthesizes explicit market figures and forecasts found in the provided search results. Reported market sizes: FMI $3.8B (2026), TBRC $5.42B (2025), MRUpdate $4.8B (2026). I averaged these to a consolidated current market-size estimate (~$4.7B). Reported CAGRs vary by source and horizon (FMI 10.3% to 2036, TBRC 21.6% to 2030, MRUpdate 11.5% to 2033); I averaged those reported growth rates to estimate near‑term growth potential of ~14.5% CAGR, noting differences in forecast periods and methodologies across sources.
Expense management
Selected 2025 market size = USD 8.33B (Fortune Business Insights). Growth potential (CAGR ~10.0%) is an aggregate/median view based on multiple industry forecasts: Fortune BI (8.3% CAGR), Market Research Future (10.9% CAGR), The Business Research Company (11.1% CAGR to 2030), and BusinessResearchInsights (7.4% CAGR). The 10.0% figure represents a balanced estimate of near-to-mid‑term growth expectations across these sources.
- The global expense management software market size was valued at USD 8.33 billion in 2025
- The Expense Management Software Market reached USD 8.18 billion in 2025... registering a 10.90% CAGR
- Market size has reached to $7.47 billion in 2025... grow to $12.86 billion in 2030 at a CAGR of 11.1%
- market size is forecasted to be worth USD 4.89 Billion in 2026... expected to achieve USD 9.28 Billion by 2035 with a CAGR of 7.4%
Payroll data capture
Derived from multiple payroll/software market reports (range: ~8–31B USD). I averaged representative total-market estimates and assigned a conservative niche share (≈5–8%) for payroll data-capture (payslip/run extraction) to produce ~1.5B USD. Growth CAGR set at 11% to reflect faster adoption of AI/OCR and automation versus core payroll software, consistent with reported payroll/software CAGRs (~9.6–13%).
- projected to rise from US$14.9 Bn in 2026 to US$28.2 Bn by 2033... CAGR of 9.6%
- 2024 Market Size$ 8.1 Billion... CAGR (2025 - 2035)11.22%
- grow from $31.22 billion in 2023 to $35.27 billion in 2024 at a compound annual growth rate (CAGR) of 13.0%
- expected to be valued at USD 8.34 Billion in 2026... CAGR of 5.7% between 2026 to 2035
Bank statement processing
Estimated by reconciling published market reports for closely related segments (bank statement analyzer and bank statement reconciliation). WiseGuyReports cites a 2025 bank statement analyzer market of USD 2.35B (CAGR 7.8% to 2035). MarketIntelo cites a 2025 bank statement reconciliation market of USD 3.2B (forecast USD 6.8B by 2034, CAGR 9.4%). The target segment (statement processing to transaction-level data) sits between these definitions; the market size is taken as the midpoint (~USD 2.8B) and CAGR as the midpoint (~8.6%) of the two reported growth rates.
Utility bill management and auditing
Synthesis of multiple market reports in the search results. Reported market sizes vary by scope: MRFR estimates ~$2.9B (2024), ResearchAndMarkets/GlobeNewswire reports ~$4.49B (2025), and PersistenceMarketResearch projects $5.7B (2026). Reported CAGRs range ~6.2%–8.2%. I estimated a mid‑point market size of about $4.5B (mid‑2020s) and a balanced growth potential CAGR of ~7.3%, reflecting the cited studies' range.
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