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Advanced Computer Innovations Launches EDGARtag.AI™, an Affordable and Fully Automated Self-Service AI-Powered Inline XBRL Tagging Platform for SEC Filings

EDGARtag.AI™ is a groundbreaking, fully automated AI-powered platform revolutionizing SEC Inline XBRL tagging. Powered by advanced AI engines and a proprietary intelligent agent backed by over 30 years of SEC filing expertise, it delivers professional-grade, SEC-compliant iXBRL filings with exceptional speed, accuracy, and affordability. Featuring automatic validation, error correction, and effortless self-service, EDGARtag.AI™ makes complex XBRL tagging remarkably simple!


Pittsford, NY, USA – WEBWIRE –
Affordable and Fully Automated Self-Service AI-Powered Inline XBRL Tagging Platform for SEC Filings
Affordable and Fully Automated Self-Service AI-Powered Inline XBRL Tagging Platform for SEC Filings

“Having worked in SEC filing technology for more than three decades, I’ve seen firsthand how complex, time-consuming, and expensive XBRL tagging can be,” said Dr. Vasant D. Saini, Founder & President of ACI, Inc. "We developed EDGARtag.AI™ to change that. By combining our extensive experience in SEC filing technology with the capabilities of AI, we’re making sophisticated XBRL tagging accessible to virtually any filer — without expensive software, specialized expertise, or lengthy turnaround.

Advanced Computer Innovations, Inc. (ACI), a provider of SEC EDGAR filing software and services since 1993, today announced the launch of EDGARtag.AI ™ (https://edgartag.ai), a fully automated, AI-powered web platform designed to simplify and reduce the cost of Inline XBRL (iXBRL) tagging for SEC filings.

EDGARtag.AI ™ enables public companies, financial reporting professionals, and SEC filing agents to prepare Inline XBRL-tagged filings without specialized XBRL software, extensive training, or manual tagging. Users upload an EDGAR-compatible HTML filing, and the platform automatically performs XBRL tagging, validation, error analysis, and corrections. Completed files can then be downloaded for review and submission to the SEC’s EDGAR system.

The service supports US-GAAP and IFRS taxonomies and is designed for Forms 10-Q, 10-K, 8-K, 20-F, 40-F, and other SEC filings requiring Inline XBRL. Its capabilities include tagging cover pages, financial statements, footnotes, detailed disclosures, executive compensation, cybersecurity disclosures, and filing fees, as applicable.

Automated Tagging with Built-in Quality Control

Unlike traditional XBRL tagging workflows that require specialized software and considerable manual effort, EDGARtag.AI ™ uses artificial intelligence to automate the tagging process. Its two-pass AI workflow includes initial tagging followed by analysis, validation, and automated corrections.

The platform typically completes tagging in less than one hour, making it useful for companies facing tight SEC filing deadlines. Filers remain responsible for reviewing completed tagging for accuracy and completeness before submission.

Affordable, Transparent Pay-As-You-Go Pricing

EDGARtag.AI ™ uses straightforward, usage-based pricing, with no software licensing fees or subscriptions:

  • Full Inline XBRL tagging: $0.50 per KB of uploaded HTML, with a $195 minimum.
  • Cover-page-only tagging: $0.50 per KB, with a reduced $95 minimum.
  • Updates and revisions: $0.25 per KB, with no minimum charge.

For example, complete Inline XBRL tagging of a 350 KB Form 10-Q costs $195.

The pricing structure is designed to make XBRL automation accessible to smaller public companies and filing agents that may find traditional tagging software or outsourced services costly.

Simplified Handling of Last-Minute Filing Revisions

EDGARtag.AI ™ can automatically transfer and update existing Inline XBRL tagging when a filing is revised. SEC filings frequently undergo last-minute changes to financial statements, disclosures, and other information. Rather than manually modifying XBRL tags or restarting the tagging process, users can upload a revised, untagged HTML document.

EDGARtag.AI ™ transfers applicable tags from the previous version, updates tagging to reflect changes, and performs additional validation. Revisions are processed at half the standard per-KB rate, with no minimum charge, helping filers accommodate multiple rounds of changes at a lower cost.

Designed for Simplicity and Convenience

EDGARtag.AI ™ operates through a web browser, with no software to purchase, install, or maintain.

The self-service workflow allows users to upload an EDGAR HTML filing, initiate automated tagging, monitor processing status, and download completed Inline XBRL files. Users retain control of final review and submission to the SEC.

The platform uses encrypted HTTPS connections for transmission of uploaded documents and filing information.

Built on More Than Three Decades of SEC Filing Experience

EDGARtag.AI ™ was developed by Advanced Computer Innovations, Inc., which has specialized in SEC EDGAR filing technologies since 1993.

ACI’s existing offerings include EDGARsuite, its professional SEC filing software; Microsoft Word-based EDGAR preparation tools; web-based EDGAR conversion services; and SEC filing agent services.

EDGARtag.AI ™ extends that experience into AI-powered, self-service Inline XBRL tagging, combining automation with practical knowledge of SEC filing requirements and workflows.

Availability

EDGARtag.AI ™ is available now at https://edgartag.ai.

The service is intended for public companies, SEC filing agents, financial reporting consultants, accounting professionals, and others preparing SEC filings that require Inline XBRL tagging.

About Advanced Computer Innovations, Inc.

Founded in 1993, Advanced Computer Innovations, Inc. (ACI) develops software, web-based applications, and filing services for organizations and professionals submitting regulatory filings to the U.S. Securities and Exchange Commission. Its offerings encompass EDGAR HTML preparation, Inline XBRL tagging, regulatory filing automation, and related services. For more information, visit https://sec-edgar-filing.com.


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