Aurifex / Products / Bookloft

Your personal librarian.

Meet Octavia, the AI librarian who knows every book you own. Ask what to read next or where a book is shelved, film a bookcase to catalog it, and never buy the same book twice. Bookloft runs in your browser.

Launch · Q3 2027

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to the start of Q3 2027

Books · Consumer On the web Ask Octavia Film a bookcase Private by design
Ask OctaviaAnswers from your catalog
Recorded live in the Bookloft web app on an example library. The wait for the answer is shortened; the answer is unedited.
Bookloft · Your personal librarian
MEDITATIONSWALDENTHE ODYSSEYSYMPOSIUMPE·S·ES?TAO TE CHINGTHE ILIADDISCOURSESFilm the shelf: every spine is read, one by oneYour library144 books145 books146 books147 books148 books149 books150 books151 bookswaldenYou own itMeditationsMarcus AureliusHighWaldenHenry David ThoreauHighThe OdysseyHomerHigh · 2 copiesSymposiumPlatoHighTao Te ChingLao TzuHighThe IliadHomerHighDiscoursesEpictetusHighTo check · 1Worn spine: Pensées? Confirm or retake
Q3 2027
public launch on the web, with whole-bookcase scanning
<10 min
target to catalog a 300-book bookcase from one video
<1 s
target to answer “do I own this?” in any browser, including on your phone in a bookshop
4 ways
to add books: film a bookcase, shelf photo, barcode, or import from Goodreads and StoryGraph

Times are launch targets.

[ 01 ] // Who it is for

For people with more books
than they can remember

Reading apps keep track of what you read. Bookloft knows what you own: what is on your shelves, where it is, what it is worth and what is missing. It is built first for people with hundreds of books who have bought the same one twice.

The collector in a bookshop

You are holding a book and can’t remember whether it is already at home, perhaps under a different title. You want a yes or no before you reach the till, and the shelf it is on if the answer is yes.

The owner of a house full of shelves

Nobody types in five hundred books. You want to walk along a bookcase with a camera, check a list, and afterwards be able to find any book by room and shelf.

Someone insuring, moving or thinning out

You need to know what the collection would cost to replace, what it might sell for, and which books to keep, sell or give away, with photos and receipts kept beside each book.

[ 02 ] // Ask Octavia

Ask your shelves
anything

Type a question where you would search. Octavia, Bookloft’s AI librarian, answers from your catalog in a few sentences, names the book she means, and tells you when she can’t see something.

I loved Dune. What should I read next from my own shelves?
Octavia · from your catalogDune Messiah by Frank Herbert is the natural next pick: it's the direct sequel, and it's sitting right beside Dune in the Living room, Bookcase B, Shelf 3, with Children of Dune after it. If you'd rather step outside the series, Foundation by Isaac Asimov and The Left Hand of Darkness by Ursula K. Le Guin are on that same shelf.
Where are my Tolkien books?
Octavia · from your catalogAll five are in the Living room on Bookcase B, Shelf 3: The Hobbit, The Fellowship of the Ring, The Two Towers, The Return of the King, and The Silmarillion.
Octavia (AI), from your catalog
Two questions, recorded live in the web app on an example library. Waits are shortened; both answers are unedited.

Answers from what you own

Questions go in the same box as “do I own this?”. Octavia answers in one to four sentences from your catalog, with your reading status and ratings included.

Says when she doesn’t know

If the catalog doesn’t say, she tells you she can’t see it. She does not guess beyond your shelves.

Sees only what a question needs

Titles, authors, categories and reading status. Shelf locations only when you ask where something is. Your notes, prices and orders are never sent.

[ 03 ] // Octavia’s picks

A bookseller who has
read your shelves

Octavia looks through everything you own and puts four shelves of picks on your desk, each with one line on why, tied to a book you already have.

Release dates checked on the web
Recorded live in the web app on an example library. The wait is shortened; the picks are unedited.

New from authors you collect

For new books from authors you collect, Octavia checks the web for release dates. Anything she can’t verify is left out.

Next in the series, and the gaps

The next book in a series you have started, and the titles missing from sets you already own.

Writers worth meeting

Authors you haven’t read yet, each tied to one book on your shelf that explains the pick.

Never a book you already have

She does not suggest a book you own, have on order or have on your wishlist. The rule is in her instructions, and the app enforces it a second time.

One click from a pick

Add it to your wishlist, find a price, or mark it not interested.

A weekly check, if you want it

A weekly look for new releases from your authors is off by default. When it finds something it marks it “New for you”.

[ 04 ] // Adding books

Film the shelf, skip the typing

Film a bookcase on your phone and upload the video. Bookloft keeps the sharpest frames, reads every spine and merges what it saw into one list for you to check. Nothing is added until you say so.

<10minlaunch target to catalog a 300-book bookcase from one video
  • Film it. Walk slowly along one bookcase, about a second per book.
  • Bookloft reads it. Each book is seen several times and merged once.
  • Unsure reads wait for you. High, medium or low confidence, with the words it saw.
  • Every book keeps its shelf photo.
About a second per bookUpload it in the browser
Filmed on a phone along a real bookcase. You upload the video in the browser and Bookloft reads the spines.
01

It keeps the sharp frames

Bookloft takes about two pictures a second from the video, then drops the blurry ones and the near-duplicates.

02

It reads the spines

The frames are read a few at a time for titles and authors. One rule is written into the reader’s instructions: never invent a book.

03

It merges what it saw

A slow pan shows each book in several frames. Repeat sightings are folded into one book, and two copies standing side by side stay two.

04

It labels its confidence

High means the title and author were both read clearly. Medium means the author was worked out. Low means a partial read. Each row also shows how many times the book was seen and the words that were visible.

05

You check the list

Low-confidence reads start unticked, and so do books you may already own. Nothing is added until you say so.

06

Each book keeps its shelf photo

Every book you add keeps the frame of the shelf it was on. The video itself is deleted once the frames are cut.

Details come afterwards, and you approve them. Publisher, year and ISBN are looked up in public book databases. You review them before they are saved, and only empty fields are filled.

The other three ways use the same review. A photo of one shelf goes through the same reading, labelling and checking. So does a photo of a single book: the cover, the title page or the copyright page, for old books that have no barcode. Barcodes and imported lists need no spine reading at all.

  • →
    Hold the phone sidewaysLandscape fits more of each spine
  • →
    Go slowlyAbout a second per book, one shelf at a time
  • →
    Use even lightGlare makes spines hard to read
  • →
    Tall shelvesMake two passes

[ 05 ] // Do I own this?

Never buy the
same book twice

A verdict as you type: yes with the shelf it is on, on your wishlist, or not yet. It runs on your own catalog and works with AI switched off.

Try it · an example library of 152 books

Do I own this?Which shelf it’s on
Recorded in the web app on an example library. No AI is used for this answer.

The core answer needs no AI

“Do I own this?” is an instant check against your own catalog: close spellings, other titles of the same book, ISBN, your wishlist and copies you have lent out.

Two titles can be one book

Link a book to its other titles and editions, and a retitled edition still answers “you own this”. Second copies are counted, not hidden.

Duplicates are flagged as you add

When a scan or a search turns up a book you may already have, Bookloft warns you before it goes in.

[ 06 ] // The rest of the library

A librarian
for the books you own

Every screen below is the web app, on an example library.

Library

Every book, and where it lives

Covers, authors, genres and shelf locations in one list you can filter in a second. Change the shelf, category, tags or condition of many books at once, and undo it if you got it wrong.

Every book, by bookcase and shelf
Insights and authors

A portrait of your library

The subjects you read most, the authors you collect, which collections are complete and what’s still missing.

Which collections are complete
Bookloft authors view on an example library: books per author, genres and how complete each collection is
Collection value

Know what your library is worth

Bookloft estimates what your collection would cost to replace and what it might fetch if you sold it, by genre, author and standout book. Useful for insurance, moving and deciding what to keep.

  • Replacement, resale and bulk estimates
  • Estimates, clearly labelled as estimates
Bookloft dashboard on an example library: replacement, resale and bulk value estimates, value by genre, most valuable authors and standout books
Replacement and resale estimates
Values are the app’s estimates, not appraisals.
Priorities and best price seen
Bookloft wishlist with priorities and best prices seen
A wishlist with priorities, the best price seen and why each book is on it.

[ 07 ] // What makes it different

A record you can trust,
and take with you

Reading trackers are built around what you have read. Bookloft is built around the physical books you own, with a librarian who answers from them and a catalog that admits doubt instead of guessing.

A librarian, not a search box

Octavia answers questions, suggests what to read next from your own shelves and finds the gaps in your sets, and she only ever works from your catalog.

A bookcase at a time

One video catalogs a whole bookcase. You check a short list instead of scanning barcodes one by one.

It keeps the evidence

Each scanned book keeps its shelf photo. You can attach photos and receipts to a book and keep dated records of the whole catalog.

Mistakes can be undone

Bulk edits, deletes and imports can be undone, back through the last 20 actions.

It helps you thin out

A declutter view sorts books into keep, sell or donate, one decision per book.

Your catalog stays yours

You can take your catalog out at any time. When covers and details are fetched from public book databases, only titles and authors are sent.

How the value is worked out. The value view is arithmetic on your catalog, not AI. It shows what the collection would cost to replace, what copies sell for, what you would keep if you sold them yourself, and what a dealer might pay for the lot. These are estimates. Printings and dust jackets are not checked title by title.

For insurance. Insurers ask for author, title, edition, condition, photos and receipts, and for valuable items a written appraisal. Bookloft keeps the first six together. The appraisal is still a person’s job.

[ 08 ] // Launch targets

What Bookloft
has to do at launch

MeasureTargetHow it will be measured
Catalog a full bookcase< 10 minTime from starting a scan to a reviewed catalog, for a 300-book bookcase.
Spines identified without help95%+Share of books matched with high confidence on real home bookcases.
“Do I own this?”< 1 sTime to answer in the browser, including on a phone in a bookshop.

Targets, not results.

Not an appraisal

Values are Bookloft’s estimates. For a rare or valuable book, an appraiser decides.

No accuracy number yet

Spine reading has not been measured on real home bookcases. 95% or better is a launch target, and a test on 1,000 spines comes before any number is claimed.

On the web, and only the web

Bookloft opens in the browser on a computer or a phone. There is nothing to install.

A match is the work, not always your copy

A looked-up ISBN and publisher come from a typical edition, which may not be the one on your shelf. That is why you approve details before they are saved.

Octavia doesn’t guess past your catalog

She answers from what you own and says when she can’t see something. She is an AI librarian, not a person.

Whole-bookcase video is the launch test

The scan works end to end on a short pan along a shelf. A whole bookcase filmed on a phone is what the launch targets are for.

[ 09 ] // Questions people ask

Before you
ask about the beta

How do I add my books?

Four ways: film a bookcase, photograph a shelf, scan a barcode, or import a list from Goodreads or StoryGraph. You can mix them.

What if it misreads a spine?

Nothing is added until you check the list. Unsure reads start unticked and show the words that were read, so you can correct or skip them.

What about old books with no barcode?

Photograph the cover, the title page or the copyright page. It goes through the same confidence label and the same check.

Will it catch a book I own under another title?

Yes, once the two are linked. “Do I own this?” checks other titles of the same book, close spellings and ISBNs, and it warns you about duplicates when you add one.

What does Octavia know about me?

Only what a question needs from your catalog: titles, authors, categories and reading status, and shelf locations when you ask where something is. Never your notes, prices or orders.

Does it track my reading too?

Lightly. Each book can carry a reading status, a rating and dates, and Octavia uses reading status when she answers. Bookloft starts from what you own.

Can I use the value for insurance?

As a starting record, yes: it keeps titles, editions, condition, photos and receipts together with an estimate. It is not an appraisal.

Do I need to install anything?

No. Bookloft is a web app. It opens in the browser on a computer or a phone.

When can I get it?

The public launch target is Q3 2027, on the web. To ask about the beta, write to info@aurifex.com.

[ Au ] // The gold standard, here

How Bookloft meets the Aurifex standard

Every Aurifex product must solve a real problem, be proven before it ships, and be effortless to use. Here is what that means for Bookloft.

Real problem

People can’t remember everything they own. They buy duplicates, can’t find a book on their own shelves, and don’t know what the collection is worth.

Proven

The working prototype is used daily on a real home library, labels every match with a confidence rating, and passes all 59 automated tests. Launch target: a 300-book bookcase cataloged in under 10 minutes.

Effortless

At launch: film a bookcase instead of typing titles. Anything unsure goes to a short list to check, and “do I own this?” takes a second.

[ $ ] // Outlook

$40K expected
net revenue in 2031

Current trajectoryUpside
$40K
expected net revenue in 2031
Up to $80K
net revenue in 2031
$60–175M
total market a year
$7–47M
reachable today · Book owners who would pay for a catalog app
Year20272028202920302031
Expected net revenue (current trajectory)$0$10K$10K$20K$40K
Up to$0$10K$30K$50K$80K

[ 10 ] // Release

Launching
Q3 2027

  1. Working web app

    Octavia, the AI librarian, video scan, the catalog, insights, the wishlist and collection value, running in the browser on a real home library.