Leverage AI-driven language quality assessment. Improve productivity of editorial staff by 100%

Compress publishers’ copyediting costs by 40% with the help of intelligent language quality assessment in manuscripts

Enable context-based language quality assessment
For publishers, screening manuscripts is a time-consuming and labor intensive process. Journal publishers frequently face slowdowns in their editorial workflows while assessing the language quality of manuscripts, which is a critical step in the pre-screening process. iNLP is a cutting-edge, AI-powered language and editing engine that offers much-needed superpowers to authors and editorial staff, in academic publishing. This intelligent product helps them in assessing the language quality and guides them to correct the language based on the context. With iNLP publishers can now reduce response time from months to just a few minutes.

Looking to accelerate your language quality assessment process?

Our customized demo reveals how you can address your unique workflows and tackle challenges.

    Key Features

    Product Highlights


    Pages processed


    Journals Processed


    Concurrent users

    Key Benefits

    iNLP tool accelerates the language quality assessment and editorial workflows for scholarly publishers.

    Accelerated time-to-market

    100% increase in editorial productivity

    30% improvement in production TAT

    Seamless integration with manuscript submission platforms

    Up to 40% cost savings in copyediting

    On-demand scalability to handle large volumes of manuscripts


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