EditPilot: AI-Powered Copyediting Made Easy

AI-powered platform to automate editing, styling, and XML generation.

Automated Content Structuring

Clean, format, and structure manuscripts with precision and zero manual effort.

Style Guide Compliance

Ensure consistent styling using configurable, publisher-specific reference templates.

On-the-Fly XML

Instantly export JATS, BITS, or DocBook formats for production-ready content.

Smarter Copyediting for Faster Publishing

Copyediting remains a labor-intensive and error-prone step in the publishing process. From style compliance to reference formatting and XML generation, traditional workflows often increase turnaround time, overheads, and editorial risk. EditPilot is Integra’s highly automated, cloud-based copyediting platform that leverages the power of our proprietary iNLP engine. EditPilot intelligently cleans up documents, identifies structure, standardizes styles, handles math content, and generates XML outputs on-the-fly. With support for multiple reference styles, third-party integrations (PubMed, CrossRef, ORCID), and intelligent float linking, EditPilot offers a complete, scalable solution for publishers looking to increase editorial quality, reduce time-to-publish, and ensure process integrity.

Looking to accelerate editing workflows with an AI-powered copyediting platform?

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Proven Impact in Scholarly Publishing

313,000+

files processed

400+

users active simultaneously

AI-Driven Editing That Structures Content and Delivers Ready-to-Publish XML

Automated Document Cleanup

Automatically detects and resolves structural inconsistencies, formatting issues, and unwanted styling elements, ensuring cleaner manuscripts with reduced manual intervention and faster editorial processing.

Multi-Style Reference Support

Supports major reference styles like APA, Chicago, Harvard, and AIP with customizable templates, helping publishers maintain consistency and meet journal-specific requirements effortlessly.

Intelligent Float Linking

Automatically links tables, figures, boxes, and related citations, ensuring structural integrity and reducing the time spent on manual tagging or cross-referencing within complex documents.

Math Content Recognition

Identifies and processes math equations accurately, supporting both MathML and LaTeX formats to streamline STEM content production and improve output quality.

AI-Based Reference Structuring

Uses NLP to analyze, structure, link, and reorder references intelligently, with integrations to PubMed, CrossRef, ORCID, and funding databases for enriched and verified metadata.

Instant XML Generation

Generates high-quality XML outputs like JATS, BITS, and DocBook in real-time, eliminating delays in production workflows and ensuring seamless delivery to downstream platforms.

Discrepancy Detection & Query Insertion

Identifies mismatches in citations, floats, and references; automatically inserts editorial queries to flag inconsistencies before they impact production quality or publishing timelines.

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