Moscow, Russia, 2nd Apr 2026 – When it comes to sourcing electric motors, frequency converters, and soft starters, industrial buyers across Russia consistently turn to one name – iPrivod.Ru. With expert technical support, reliable analog matching, and a full range of customization options for electric motors, iPrivod has earned its reputation as the go-to distributor for drive technology.

Powering every industry

Drive technology – including electric motors, soft starters, frequency converters, automation systems, and related accessories – forms the backbone of modern industry. iPrivod serves clients across a wide spectrum of sectors:

• Power generation – hydroelectric, thermal, nuclear, and wind energy plants, where mechanical energy is converted into electricity
• Manufacturing – CNC machines, conveyor systems, and material handling equipment
• Electric transport – locomotives, trolleybuses, trams, and electric buses
• Woodworking and metalworking machinery
• Mining and mineral extraction
• Textile, forging, lifting, and earthmoving equipment
• HVAC systems – compressors, fans, pumps, centrifuges, and ventilation units
• Climate control and building management systems
• Power tools and household appliances

More than a supplier – a full-service partner

In the world of industrial drive equipment, product knowledge and delivery reliability are non-negotiable. iPrivod sets itself apart by offering a comprehensive suite of services that go far beyond fulfillment:

• Equipment selection and consultation, including cross-referencing and analog replacement
• Technical support throughout the procurement process
• On-site installation, commissioning, and startup assistance
• Training and knowledge transfer for the client’s engineering teams
• Warranty and post-warranty service

About iPrivod

Founded in 2005, iPrivod is a leading Russian distributor of electric drive technology with over 17 years of industry experience. The company serves enterprises across manufacturing, utilities, and municipal infrastructure, backed by a team of highly qualified engineers and a well-stocked inventory, particularly Siemens products.

iPrivod’s core focus is the delivery of integrated low- and high-voltage Siemens drive systems. Beyond equipment supply from stock and made-to-order, the company provides end-to-end engineering services, including installation, modernization, and ongoing maintenance. With deep expertise as both a system integrator and solutions developer, iPrivod delivers a tailored, professional approach to every client and every project.

Why choose iPrivod

• 17+ years of proven market experience since 2005
• Full lifecycle support – from equipment selection and installation to modernization
• Expert analog matching – precise replacement recommendations based on operating conditions, installation parameters, power supply quality, and client preferences
• Competitive pricing on certified, manufacturer-backed drive technology
• Ready stock across the full product range
• Client-first philosophy – flexible terms, transparent communication, and multiple options for every decision

Contact iPrivod

• Phone (Moscow): +7 (495) 151-84-82
• Address: 24 Chechersky Proezd, Moscow, 117042, Russia
• Email: sales@iPrivod.Ru
• Website: https://iPrivod.ru

Media Contact

Organization: iPrivod drive technology Co.

Contact Person: Sales Department

Website: https://iprivod.ru

Email: Send Email

Contact Number: +74951518482

Address:117042, Moscow, Chechersky proezd, 24

City: Moscow

Country:Russia

Release id:43522

The post iPrivod.Ru marks 17 years as Russia’s leading industrial drive technology supplier appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

Hong Kong S.A.R., 2nd Apr 2026 – moove.xyz, a global Web3 fintech platform that enables anyone to send, receive, stake, and swap cryptocurrencies across any blockchain, has officially launched its next‑generation permissionless fintech platform to enable cross-border, cross-token and cross-chain crypto payments with zero KYC requirements.

With a mission to eliminate friction in global Web3 transactions, moove.xyz introduces an all‑in‑one, non‑custodial solution designed for both consumers and businesses seeking instant, secure, and permissionless financial tools. The platform integrates multi‑chain transfers, cross‑chain swaps, staking, and non‑custodial wallet infrastructure into a single streamlined interface, allowing users to move digital value freely without submitting personal information or undergoing traditional identity checks.

“Our vision with moove.xyz is to build a future where financial freedom is accessible to everyone,” said moove.xyz in an official company statement. “By removing KYC barriers and enabling truly non‑custodial, instant transactions across any blockchain, we’re empowering users to regain control over their digital assets while enjoying a simpler, faster, and more private Web3 experience. In particular, we strive to enable effortless local and cross-border stablecoin crypto payments, where businesses and consumers can simply pay and get paid in stablecoins, without the need to think about all the complexities of Web3, such as underlying blockchain, the stablecoin pairing and wallet addresses — it’s all in the background powered by our integrated DeFi infrastructure. Our official launch is a major milestone in making borderless value transfer as effortless as sending a message.”

The launch comes at a time when demand for financial privacy, on‑chain interoperability, and decentralised payments is growing rapidly. Many crypto platforms still impose lengthy onboarding or restrict access to select tokens and networks. moove.xyz aims to solve these issues by offering a seamless, multi‑chain environment where users can transfer digital assets, stake tokens, or complete swaps without intermediaries.

Looking ahead, moove.xyz is preparing to launch its mobile application — the Moove App — to bring fast, private crypto payments to a global audience. Its long‑term mission is to onboard over one billion users into a world where anyone can use Web3 financial tools without friction, approvals, or centralised control. With moove.xyz’s official launch, moove.xyz begins its journey toward redefining how digital value moves across the world—making open, decentralised finance accessible to all.

About moove.xyz

moove.xyz is a global Web3 fintech platform built for the permissionless and effortless movement of value. We empower businesses and consumers anywhere to send, receive, stake, and swap any cryptocurrencies across any blockchains — all in one single platform.

We are one of the first Web3 fintech companies globally to innovate and build a full-stack crypto payments and decentralised finance infrastructure, enabling an integrated and comprehensive coverage across multi-chain wallet access, personalised wallet handles, cross-chain token swaps, embedded cross-chain transactions and a decentralised social financial network. Our key products include Moove Profile, Moove Send, Moove Receive, Moove Stake, Moove Swap, Moove Rewards, Moove Discover and more.

Our mission is simple — to create and distribute permissionless and effortless financial technology for the next 1 billion Web3 users. We fundamentally believe that the future of the movement of money and value shall be costless, borderless, permissionless, effortless, and built for everyone — and we’re building the ultimate Web3 fintech platform to make that future real.

Your money. Your move.

Website: https://moove.xyz
 

Media Contact

Organization: trustbanana

Contact Person: Sher

Website: https://moove.xyz

Email: Send Email

Country:Hong Kong S.A.R.

Release id:43509

The post moove.xyz Introduces Web3 FinTech Platform to Send, Receive, Stake and Swap Crypto With Zero KYC appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

MortgageOCR.com has launched a new AI-powered OCR platform designed to help lenders and mortgage teams extract structured data from mortgage documents. The software is built for document-heavy workflows where speed, accuracy, and auditability are critical to loan processing.

United States, 2nd Apr 2026 – https://www.mortgageocr.com announced the launch of its AI-powered OCR platform, developed to help organizations convert mortgage documents into structured digital data.

The platform was built for lenders, servicers, title companies, and mortgage operations teams that work with large document packages containing borrower information, loan terms, property details, disclosures, and closing figures. In many mortgage workflows, key information still has to be located and reviewed manually across long files that may include a mix of standard forms, supporting records, and image-based documents. MortgageOCR.com enters this space with a system designed to reduce that burden by identifying fields according to context and meaning rather than fixed page coordinates.

According to the company, the platform can extract structured information from mortgage applications, HUD-1 settlement statements, closing disclosures, loan packages, and other related records. This is intended to help teams move document data into formats that can support underwriting, review, reporting, and downstream system workflows without relying on manual transcription or rigid document templates.

The launch reflects a broader operational challenge within mortgage processing. A single loan file can contain hundreds of pages, and the effort required to locate and transfer key data across those materials often creates delays at multiple stages of the process. While OCR has long been used to read mortgage documents, many systems still leave teams with the separate task of identifying which values matter and where they belong. MortgageOCR.com is positioned around the need for more usable extraction that better fits the realities of regulated mortgage operations.

The company also states that the platform is designed with auditability in mind. In mortgage processing, the accuracy of extracted information is closely tied to compliance, internal review, and documentation standards. By producing structured output that can be reviewed and routed into business systems, the software is intended to support a more controlled and consistent way of handling document-based mortgage data.

MortgageOCR.com said the platform supports exports to Excel, Google Sheets, CSV, and JSON, along with API-based integration for organizations that want extracted data sent directly into internal systems. The company also stated that the platform includes security controls for regulated environments, including SOC 2 Type 2 audited controls, AES-256 encryption at rest, TLS 1.2+ in transit, and automatic deletion of processed documents within 24 hours.

With the launch of MortgageOCR.com, the company is addressing a practical issue for mortgage operations teams: how to make large, document-heavy loan files more usable without increasing manual review work. The platform is intended to help organizations move from static mortgage documents to structured data that can better support processing, oversight, and workflow efficiency.

About MortgageOCR.com

MortgageOCR.com is an AI-powered OCR software platform focused on mortgage document data extraction. The company helps lenders and mortgage operations teams convert loan documents into structured data for processing, reporting, and workflow automation.

Media Contact

Organization: MortgageOCR.com

Contact Person: Zachary Peters

Website: https://www.mortgageocr.com/

Email: Send Email

Country:United States

Release id:43537

The post MortgageOCR.com Launches AI OCR Platform for Mortgage Document Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

InvoiceParsing.co has launched a new AI-powered invoice parsing platform designed to help businesses convert invoices into structured data automatically. The software is built for finance teams that need a more flexible way to process invoice information without relying on templates, regex rules, or manual maintenance.

United States, 2nd Apr 2026 – InvoiceParsing.co today announced the launch of its AI-powered invoice parsing platform, developed to help organizations extract structured data from invoices across a wide range of formats.

The platform was built for businesses that receive invoices from many different vendors and need a more reliable way to turn those documents into usable data. In many finance environments, invoice parsing still depends on template libraries, custom rules, and ongoing adjustments each time a supplier changes a layout. That approach can add complexity over time, especially for teams managing large document volumes across multiple systems. InvoiceParsing.co enters the market with a different model, using AI to interpret invoice structure directly rather than relying on fixed parsing logic.

According to the company, the software is designed to capture standard invoice fields such as vendor details, invoice numbers, dates, purchase order references, tax amounts, totals, and detailed line items, then organize that information into structured output. The goal is to help finance teams work with invoice data more efficiently while reducing the upkeep traditionally associated with vendor-specific parsing tools.

The launch reflects a broader shift in accounts payable operations, where the challenge is increasingly about making incoming invoice data consistent and usable at scale. As businesses work with more vendors and more variable formats, the cost of maintaining fragile parsing rules can become a burden in itself. InvoiceParsing.co is positioned around that operational problem, with an emphasis on reducing maintenance while improving the consistency of extracted data.

The company said the platform supports output in Excel, Google Sheets, CSV, JSON, and XML, with API access for organizations that want parsed invoice data delivered directly into downstream systems. This is intended to help businesses connect invoice intake more directly with accounting, reporting, and automation workflows.

InvoiceParsing.co also stated that the platform includes security controls for organizations handling sensitive financial information. The company says it maintains SOC 2 Type 2 certification, supports HIPAA-aligned workflows where needed, uses AES-256 encryption at rest and TLS 1.2+ in transit, does not use customer invoice data to train AI models, and automatically deletes processed files within 24 hours.

With the launch of InvoiceParsing.co, the company is addressing a familiar issue for finance teams: how to make invoice parsing more resilient as document formats change over time. The platform is intended to help organizations move from rule-heavy extraction workflows to a more adaptable model for structured invoice processing.

About InvoiceParsing.co

https://www.invoiceparsing.co is an AI-powered software platform focused on parsing invoice documents into structured data. The company helps businesses extract invoice information for use in spreadsheets, accounting systems, and workflow automation.

Media Contact

Organization: InvoiceParsing.co

Contact Person: Claire James

Website: https://www.invoiceparsing.co/

Email: Send Email

Country:United States

Release id:43536

The post InvoiceParsing.co Launches AI Platform for Automated Invoice Parsing appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

InsuranceOCR.com has launched a new AI-powered OCR platform designed to help organizations extract structured data from insurance documents. The software is built to support insurance workflows where document variation, accuracy, and timely access to policy information all play an important role.

United States, 2nd Apr 2026 – https://www.insuranceocr.com recently announced the launch of its AI-powered OCR platform, developed to help businesses convert insurance documents into structured digital data.

The platform was built for organizations that work with high volumes of insurance paperwork across different carriers, formats, and intake channels. In many insurance-related workflows, staff still spend significant time reviewing documents manually to locate policyholder details, effective dates, coverage information, premium amounts, and other key fields before that information can be entered into business systems. InsuranceOCR.com enters this space with a workflow designed to reduce that dependence on manual handling.

According to the company, the software uses AI to identify document fields by context and meaning rather than fixed positions on a page. This allows the platform to work across a broad range of insurance document layouts without requiring template setup or document-specific configuration. The goal is to help organizations process insurance records more consistently while making extracted information easier to use in spreadsheets, reporting processes, and connected systems.

The launch reflects a broader challenge in insurance administration and related business operations. Insurance documents often contain critical information, but that information is frequently locked inside PDFs, scanned files, and image-based paperwork that do not fit neatly into structured workflows. Traditional OCR may capture text, but it often leaves teams to determine which details matter and where they belong. InsuranceOCR.com is positioned around the need for more usable extraction that can support faster handling of insurance data in day-to-day operations.

The company said the platform supports structured output in Excel, Google Sheets, CSV, and JSON, along with API-based delivery for organizations that want document data routed directly into internal systems. This is intended to give teams a more practical way to move from raw insurance documents to information that can support administrative, financial, and service-related processes.

InsuranceOCR.com also stated that the platform includes security controls for organizations handling sensitive records. The company says it maintains SOC 2 Type 2 audited controls, uses AES-256 encryption at rest and TLS 1.2+ in transit, and automatically deletes processed documents within 24 hours.

With the launch of InsuranceOCR.com, the company is addressing a persistent operational issue for document-heavy insurance workflows: how to make policy and coverage information easier to extract, organize, and use without adding more manual work. The platform is intended to help organizations build a more efficient path from incoming insurance documents to structured business data.

About InsuranceOCR.com

InsuranceOCR.com is an AI-powered OCR software platform focused on insurance document data extraction. The company helps organizations convert insurance paperwork into structured data for reporting, administration, and workflow automation.

Media Contact

Organization: InsuranceOCR.com

Contact Person: Cole Russell

Website: https://www.insuranceocr.com/

Email: Send Email

Country:United States

Release id:43535

The post InsuranceOCR.com Launches AI OCR Platform for Insurance Document Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

AIInvoiceScanner.com has launched a new AI-powered invoice scanning platform designed to extract structured data from invoice documents automatically. The software is built to help businesses process invoices from PDFs, scans, and photos without template setup or manual document handling.

United States, 2nd Apr 2026 – AIInvoiceScanner.com today announced the launch of its AI-powered invoice scanning platform, developed to help organizations extract usable invoice data from a wide range of document formats.

The platform was created for businesses that receive invoices as PDFs, scanned files, photos, and other image-based documents that often require manual review before they can be entered into finance systems. In many accounts payable environments, invoice processing still depends on repetitive data entry and tools that require document-specific setup when layouts vary across vendors. AIInvoiceScanner.com enters this space with a workflow designed to reduce that dependence on templates and manual intervention.

According to the company, the software can identify and extract invoice fields such as vendor information, line items, totals, tax amounts, purchase order numbers, and due dates from incoming documents without requiring fixed extraction rules. This is intended to help finance and operations teams handle invoice intake more consistently while making the resulting data easier to use in spreadsheets, ERP systems, and accounting workflows.

The launch reflects a broader challenge facing organizations that process invoices at scale. The issue is often not only capturing document data, but doing so in a way that fits the variety and inconsistency of real-world invoice formats. Businesses managing invoices from multiple suppliers frequently need software that can adapt to document changes without repeated configuration or ongoing maintenance. AIInvoiceScanner.com is positioned around that operational need.

The company said the platform supports structured output in Excel, CSV, and JSON, along with API-based delivery for businesses that want invoice data sent directly into downstream systems. This is intended to support a more efficient bridge between document receipt and the accounting processes that depend on accurate invoice data.

AIInvoiceScanner.com also stated that the platform includes security controls for organizations handling sensitive financial information. The company says it maintains SOC 2 Type 2 audited controls, uses AES-256 encryption at rest and TLS 1.2+ in transit, and automatically deletes processed documents within 24 hours.

With the launch of AIInvoiceScanner.com, the company is addressing a practical issue for document-heavy finance teams: how to make invoice intake more structured and less manual from the start. The platform is intended to help organizations move from invoice documents to usable data with a workflow built for operational consistency.

About AIInvoiceScanner.com

https://www.aiinvoicescanner.com is an AI-powered software platform focused on invoice scanning and structured data extraction. The company helps businesses convert invoice documents into usable digital data for accounting, ERP integration, and workflow automation.

Media Contact

Organization: AIInvoiceScanner.com

Contact Person: Blake Sanders

Website: https://www.aiinvoicescanner.com/

Email: Send Email

Country:United States

Release id:43533

The post AIInvoiceScanner.com Launches AI Tool for Structured Invoice Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

ExtractInvoiceDataFromPDF.com has launched a new AI-powered platform designed to help businesses extract structured invoice data from PDF documents. The software is built for finance teams that need to work with invoice information more efficiently without relying on manual entry or vendor-specific templates.

United States, 2nd Apr 2026 – https://www.extractinvoicedatafrompdf.com announced the launch of its AI-powered invoice extraction platform, developed to help organizations convert PDF invoices into structured financial data.

The platform was built for businesses that receive invoices from a wide range of vendors, each using different layouts, formats, and levels of detail. In many accounts payable environments, this variation creates a persistent operational problem. Teams often spend significant time keying information manually or maintaining template-based systems that break when invoice formats change. ExtractInvoiceDataFromPDF.com enters the market with a workflow designed to address that challenge through layout-agnostic AI extraction.

According to the company, the software can extract vendor names, invoice numbers, dates, line items, quantities, prices, and totals from both digital and scanned PDF invoices in a single pass. The goal is to help finance teams move invoice data into structured formats that can support review, reconciliation, coding, and import into accounting systems without requiring per-vendor configuration.

The launch reflects a broader shift in how businesses are approaching invoice operations. For many teams, the challenge is no longer simply receiving invoice documents but turning them into usable data quickly enough to support downstream workflows. Template-based tools can work in controlled environments, but they often become difficult to maintain as vendor counts grow and layouts change over time. ExtractInvoiceDataFromPDF.com is positioned around the need for a more flexible system that can handle invoice diversity without adding more process overhead.

The company also states that the platform supports AI-assisted categorization alongside field extraction, allowing teams to organize invoice data in ways that better align with accounting and spend management workflows. This reflects growing interest in tools that do more than capture raw values and instead help prepare financial data for operational use earlier in the process.

ExtractInvoiceDataFromPDF.com said the platform includes security controls intended for organizations handling sensitive financial records. The company states that it is SOC 2 Type 2 certified, supports HIPAA-compliant workflows, uses encryption for data in transit and at rest, does not use customer invoices to train AI models, and automatically deletes processed files within 24 hours.

With the launch of ExtractInvoiceDataFromPDF.com, the company is addressing a familiar issue for accounts payable teams: how to make invoice information usable without turning extraction into another maintenance-heavy process. The platform is intended to help organizations move from PDF invoices to structured finance data with greater consistency and less manual effort.

About ExtractInvoiceDataFromPDF.com

ExtractInvoiceDataFromPDF.com is an AI-powered software platform focused on extracting structured invoice data from PDF documents. The company helps finance teams convert invoice files into usable data for spreadsheets, accounting systems, and workflow automation.

Media Contact

Organization: ExtractInvoiceDataFromPDF.com

Contact Person: Stella Walker

Website: https://www.extractinvoicedatafrompdf.com/

Email: Send Email

Country:United States

Release id:43534

The post ExtractInvoiceDataFromPDF.com Launches New AI Software for PDF Invoice Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

ScannedPDFtoExcel.com has launched a new AI-powered OCR platform designed to convert scanned PDFs into structured Excel data. The software is built for organizations that need to extract usable table data from image-based documents without relying on templates or manual re-entry.

United States, 2nd Apr 2026 – ScannedPDFtoExcel.com today announced the launch of its AI-powered OCR platform, developed to help businesses convert scanned PDF documents into structured spreadsheet data.

The platform was created for teams that work with image-based PDFs generated from scanners, multifunction printers, archived paper records, and photographed documents. In many organizations, these files remain difficult to use because the information inside them is locked in image form, leaving staff to manually retype tables and values into Excel. ScannedPDFtoExcel.com enters this space with a workflow designed to turn those static scanned files into structured rows and columns that can be used more directly.

According to the company, the software applies AI OCR to read scanned PDF images, identify table content, and reconstruct spreadsheet-ready structure even when source files are imperfect. This is particularly relevant for businesses dealing with older archives and real-world scan quality, where faded print, skewed pages, uneven lighting, and low-resolution images often make data extraction more difficult.

The launch reflects a broader operational issue facing finance, administrative, and records-heavy teams. Many organizations have already digitized paper documents in the narrow sense that they have scanned them, but that does not necessarily make the information usable. When scanned PDFs remain locked as flat images, the burden of turning them into working data often shifts back to manual labor. ScannedPDFtoExcel.com is positioned around that gap between document storage and actual data usability.

The company said the platform is intended to support spreadsheet-based workflows by allowing extracted data to move into Excel, Google Sheets, CSV, and other structured formats. This is meant to help organizations work more effectively with scanned invoices, statements, archived records, and similar documents that still play an important role in reporting, reconciliation, and operational review.

ScannedPDFtoExcel.com also stated that the platform includes security controls for organizations handling sensitive files. The company says it maintains SOC 2 Type 2 audited controls, supports HIPAA-compliant workflows, uses encryption for data in transit and at rest, does not use customer documents to train AI models, and automatically deletes processed files within 24 hours.

With the launch of https://www.scannedpdftoexcel.com, the company is addressing a common but often overlooked document problem: not just storing scanned PDFs, but making the data inside them usable. The platform is intended to help organizations move from image-based archives to structured spreadsheet workflows with less manual effort.

About ScannedPDFtoExcel.com

ScannedPDFtoExcel.com is an AI-powered OCR software platform focused on converting scanned PDFs into structured spreadsheet data. The company helps organizations extract tables and other usable information from image-based documents for analysis, reporting, and workflow automation.

Media Contact

Organization: ScannedPDFtoExcel.com

Contact Person: Layla Carter

Website: https://www.scannedpdftoexcel.com/

Email: Send Email

Country:United States

Release id:43532

The post ScannedPDFtoExcel.com Launches Software for Converting Scanned PDFs to Excel appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

MortgageOCR.com has launched a new AI-powered OCR platform designed to help lenders and mortgage teams extract structured data from mortgage documents. The software is built for document-heavy workflows where speed, accuracy, and auditability are critical to loan processing.

United States, 2nd Apr 2026 – https://www.mortgageocr.com announced the launch of its AI-powered OCR platform, developed to help organizations convert mortgage documents into structured digital data.

The platform was built for lenders, servicers, title companies, and mortgage operations teams that work with large document packages containing borrower information, loan terms, property details, disclosures, and closing figures. In many mortgage workflows, key information still has to be located and reviewed manually across long files that may include a mix of standard forms, supporting records, and image-based documents. MortgageOCR.com enters this space with a system designed to reduce that burden by identifying fields according to context and meaning rather than fixed page coordinates.

According to the company, the platform can extract structured information from mortgage applications, HUD-1 settlement statements, closing disclosures, loan packages, and other related records. This is intended to help teams move document data into formats that can support underwriting, review, reporting, and downstream system workflows without relying on manual transcription or rigid document templates.

The launch reflects a broader operational challenge within mortgage processing. A single loan file can contain hundreds of pages, and the effort required to locate and transfer key data across those materials often creates delays at multiple stages of the process. While OCR has long been used to read mortgage documents, many systems still leave teams with the separate task of identifying which values matter and where they belong. MortgageOCR.com is positioned around the need for more usable extraction that better fits the realities of regulated mortgage operations.

The company also states that the platform is designed with auditability in mind. In mortgage processing, the accuracy of extracted information is closely tied to compliance, internal review, and documentation standards. By producing structured output that can be reviewed and routed into business systems, the software is intended to support a more controlled and consistent way of handling document-based mortgage data.

MortgageOCR.com said the platform supports exports to Excel, Google Sheets, CSV, and JSON, along with API-based integration for organizations that want extracted data sent directly into internal systems. The company also stated that the platform includes security controls for regulated environments, including SOC 2 Type 2 audited controls, AES-256 encryption at rest, TLS 1.2+ in transit, and automatic deletion of processed documents within 24 hours.

With the launch of MortgageOCR.com, the company is addressing a practical issue for mortgage operations teams: how to make large, document-heavy loan files more usable without increasing manual review work. The platform is intended to help organizations move from static mortgage documents to structured data that can better support processing, oversight, and workflow efficiency.

About MortgageOCR.com

MortgageOCR.com is an AI-powered OCR software platform focused on mortgage document data extraction. The company helps lenders and mortgage operations teams convert loan documents into structured data for processing, reporting, and workflow automation.

Media Contact

Organization: MortgageOCR.com

Contact Person: Zachary Peters

Website: https://www.mortgageocr.com/

Email: Send Email

Country:United States

Release id:43537

The post MortgageOCR.com Launches AI OCR Platform for Mortgage Document Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

InvoiceParsing.co has launched a new AI-powered invoice parsing platform designed to help businesses convert invoices into structured data automatically. The software is built for finance teams that need a more flexible way to process invoice information without relying on templates, regex rules, or manual maintenance.

United States, 2nd Apr 2026 – InvoiceParsing.co today announced the launch of its AI-powered invoice parsing platform, developed to help organizations extract structured data from invoices across a wide range of formats.

The platform was built for businesses that receive invoices from many different vendors and need a more reliable way to turn those documents into usable data. In many finance environments, invoice parsing still depends on template libraries, custom rules, and ongoing adjustments each time a supplier changes a layout. That approach can add complexity over time, especially for teams managing large document volumes across multiple systems. InvoiceParsing.co enters the market with a different model, using AI to interpret invoice structure directly rather than relying on fixed parsing logic.

According to the company, the software is designed to capture standard invoice fields such as vendor details, invoice numbers, dates, purchase order references, tax amounts, totals, and detailed line items, then organize that information into structured output. The goal is to help finance teams work with invoice data more efficiently while reducing the upkeep traditionally associated with vendor-specific parsing tools.

The launch reflects a broader shift in accounts payable operations, where the challenge is increasingly about making incoming invoice data consistent and usable at scale. As businesses work with more vendors and more variable formats, the cost of maintaining fragile parsing rules can become a burden in itself. InvoiceParsing.co is positioned around that operational problem, with an emphasis on reducing maintenance while improving the consistency of extracted data.

The company said the platform supports output in Excel, Google Sheets, CSV, JSON, and XML, with API access for organizations that want parsed invoice data delivered directly into downstream systems. This is intended to help businesses connect invoice intake more directly with accounting, reporting, and automation workflows.

InvoiceParsing.co also stated that the platform includes security controls for organizations handling sensitive financial information. The company says it maintains SOC 2 Type 2 certification, supports HIPAA-aligned workflows where needed, uses AES-256 encryption at rest and TLS 1.2+ in transit, does not use customer invoice data to train AI models, and automatically deletes processed files within 24 hours.

With the launch of InvoiceParsing.co, the company is addressing a familiar issue for finance teams: how to make invoice parsing more resilient as document formats change over time. The platform is intended to help organizations move from rule-heavy extraction workflows to a more adaptable model for structured invoice processing.

About InvoiceParsing.co

https://www.invoiceparsing.co is an AI-powered software platform focused on parsing invoice documents into structured data. The company helps businesses extract invoice information for use in spreadsheets, accounting systems, and workflow automation.

Media Contact

Organization: InvoiceParsing.co

Contact Person: Claire James

Website: https://www.invoiceparsing.co/

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Country:United States

Release id:43536

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