IndexerLabs Blog
Insights, updates, and research from the intersection of AI and indexing.
AI Book Indexing Tool for Authors and Publishers
Creating a high-quality book index has traditionally been one of the most time-consuming parts of publishing a nonfiction book. IndexerLabs is an AI book indexing tool designed to help you create a professional back-of-book index quickly and affordably.
Read Full Post →AI for Book Indexing: How Specialized Models are Changing the Back-of-Book Index
A professional index should be treated as a structured editorial product, not a loose list of keywords. Specialized AI for book indexing makes this process faster, more affordable, and easier to review.
Read Full Post →Introducing Checkpoints: Separating Editorial Judgment from Extraction
Automated book indexing is not only about extracting page numbers. A strong AI book indexing tool must first know what belongs in the index, and then index it correctly. We believe those are two separate problems, and that they should be solved separately.
Read Full Post →Introducing Quick Check: Fast Manual Verification for AI-Generated Indexes
Quick Check gives you a fast, macro-driven review workflow for locator verification, designed to remove friction from the editorial review process.
Read Full Post →Announcing Embedded Index Support for Word .docx Documents
Instead of only returning a separate index as plain text, we can now insert embedded index markers directly into the original Word document itself.
Read Full Post →How to Index Your Book with AI: A Smarter AI Book Indexing Tool for Back-of-Book Indexes
A professional back-of-book index should do more than generate keywords. Learn how specialized AI workflows support real subject indexing, accurate locator verification, and output length control.
Read Full Post →Verifying 20,000 Index Locators at Scale
A bad locator is the most damaging failure in an index. We solve this by requiring structured evidence for every claim and validating it through deterministic and adjudicative stages.
Read Full Post →What we learned indexing the same book 120 times
We tested how well major LLMs can prune a 7,400-term candidate index down to 1,000 terms while retaining the same topics selected by a professional human indexer.
Read Full Post →How to Index a Book (Complete Step-by-Step Guide)
Learn how to index a book step-by-step. This complete guide explains professional indexing methods, common mistakes, and how AI can generate high-quality book indexes faster.
Read Full Post →How to Index Your Book with AI
Indexing a book is a difficult and tedious task. However, there is now an opportunity to revolutionize the indexing process and make it more accessible to authors of all backgrounds and budgets.
Read Full Post →Introducing IndexLM-1.0: Democratizing Access to Affordable, High Quality Indexes
We trained an AI on 1,000+ publicly available back-of-the-book indexes. The resulting model, IndexLM-1.0, consistently outperforms general-purpose LLMs on subject indexing.
Read Full Post →Why You Can't Automate a Scripture Index (Until Now)
Scripture indexing is deceptively simple until you encounter the real-world complexities of semantic context. Explore why automation has failed until now.
Read Full Post →Introducing ScriptureBench and ScriptureLM-1
IndexerLabs is pleased to announce the launch of ScriptureBench, the first comprehensive evaluation test set for scripture indexing, and ScriptureLM-1, our domain-fine-tuned model.
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