Subject indexing
Create elegant, accurate Chicago-style subject indexes with subentries, locators, cross-references and review tools.
Create a professional, Chicago-style index in minutes - not weeks.
Get started and index your first 100 pages for free.
IndexerLabs produced an excellent index for the second edition of [my book]. When I compared it with the index from the first edition, I was pleasantly surprised by how closely it matched in quality. Their customer service was excellent, and I would certainly recommend them.
I am impressed by the way that [IndexerLabs] combined AI and an understanding of the challenges of indexing into a system that really is helpful. This was the fourth index to a monograph of my own, and this time I had underestimated the exponential growth in the complexity of an index when going from 300 pages to 600 pages. Without the system, I would simply have failed to complete the task. Thank you again! The $300 was well spent. I look forward to returning with my next book.
Thanks so much for your support during my foray into indexing. Thank goodness for your program; your hard work made it effortless on my end.
I was impressed by how accurately the software indexed topics in toxicology. I will definitely be using this software to index my future books! Thanks IndexerLabs!
I highly recommend IndexerLabs to anyone needing help creating an index. As a first-time self-publisher, I found their service simple, professional, and very cost-effective. I will definitely use IndexerLabs again!
Percentage of human-selected index topics retained by each model
Generic chatbots are not trained to make editorial indexing decisions. For this reason, IndexerLabs trained custom models on more than 1,000 real-world book indexes to ensure professional quality output.
In our 120-run benchmark on The Oxford History of the French Revolution, IndexLM-1.0 retained far more human-selected topics than general-purpose models when editing a publication-grade index.
Your manuscript and index data are not sent to OpenAI, Google, Anthropic, or other AI providers.
Your uploaded documents, generated indexes, and edits are never used to train our models.
You remain in control of your data and can remove it whenever you choose.
We run all our AI systems on our private servers in Nuremberg, Germany. We do not send your data to any third-party AI providers.
We never train on your indexes or share them with third parties for any reason. You can delete all your data at any time.
For the full policy, read our Data Protection page
Human-first judgment
IndexerLabs is designed to amplify human judgment, not bury it. The pipeline separates indexing into two stages: first deciding which terms belong in the index, then extracting and verifying locators for the approved list.
Provide your own list of terms for the model to index, or let IndexerLabs propose one. With Checkpoints enabled, the system pauses so you can review, refine, rephrase, add, or remove entries before extraction continues.
Human review happens before the extraction stage commits to a final entry list.
Start from your own indexable term list or let the model propose one from the manuscript.
Edit, add, remove, rephrase, broaden, or narrow the candidate list before extraction.
The pipeline then finds locators, verifies evidence, and prepares the index for delivery.
Every type of index
Build subject, scripture, and author/name indexes on the same indexing platform, then export for production.
Create elegant, accurate Chicago-style subject indexes with subentries, locators, cross-references and review tools.
Create and export highly accurate scripture indexes for publication-ready manuscripts.
Create dedicated name indexes for authors, people, and cited figures alongside the main subject index.
Embed subject, scripture, and author/name indexes directly into Word documents for publisher-ready handoff.
We don't just give you an index. We give you a superpowered indexing workbench to rapidly verify, edit, and fine-tune your index, with unlimited AI-powered editing actions.
Traditional indexing timelines are measured in days. IndexerLabs can turn around a complete draft in under 2 hours.
Book indexing starts at $99/book, keeping professional indexing accessible without page-count surprises.
Yes, IndexerLabs employs the use of custom-trained Artificial Intelligence (AI) models to automate the process of indexing. We've custom-trained an AI model on 1,000 real-world indexes, which significantly improves accuracy and indexing taste. Read more about this model, IndexLM-1.0, in our blog post.
Yes, and significantly more so than other AI products. We host all our models on our own servers, so third parties never get your data. We do not send your data to any third parties like OpenAI or Google. Uploaded documents stay available for the index editor until you delete them from your dashboard. We never use your data for improving or training our product under any circumstances.
You can view our Oxford History of the French Revolution comparison side by side with its original printed index.
You can also view a shorter Neomania demo, using a book from Open Book Publishers.
We offer full refunds within 7 days of purchase.
To request a refund, please contact us at support@indexerlabs.com.
Subject book indexing starts at $99 per book, with $199 and $299 tiers available at checkout. Volume pricing is available for publishers, series, and recurring workflows.
Yes. While we aim to produce an elegant, high-quality index that adheres to your specifications on the first attempt, we allow for manual and AI-powered editing if there's anything you want to change, free of charge.
You can export your index into Microsoft Word (.docx), PDF (.pdf), plain text (.txt), or CDFX/IXML (used by professional indexing tools like Cindex).
Additionally, if you need any specific output formats tailored to your publisher's specifications, feel free to email us at support@indexerlabs.com at any time and we can help make a custom output format at no extra charge.
For support, questions, or feedback, please email us at support@indexerlabs.com. We typically respond within 48 hours.
After you upload a document, Subject Indexing usually takes 1-3 hours, depending on the length and complexity. In many cases, a 300-page book can be processed in under an hour.
Scripture Indexing usually finishes within 30 minutes of upload.