Book digitization for AI

Convert authorized books into structured data for AI.

DirectionPress helps rights holders and AI teams convert authorized books and document collections into accurate text, useful hierarchy, dependable metadata, and agreed delivery formats.

Beyond a scan

Reliable AI data needs editorial structure.

Scanning creates page images. OCR creates machine-readable text. Neither step, by itself, explains how chapters, headings, tables, captions, footnotes, indexes, illustrations, and page references relate to one another.

DirectionPress combines book production knowledge with structured information work. The result is a dataset that remains connected to the source and is easier to inspect, evaluate, and use.

From shelf to structured data

A controlled six-step workflow.

Each project begins with a sample. Capture method, quality targets, output formats, retention, and acceptance criteria are agreed before full production.

  1. 01Rights

    Confirm the collection, ownership, permissions, and permitted use.

  2. 02Sample

    Test representative pages, layouts, type, tables, and image content.

  3. 03Capture

    Create consistent page images with an agreed method and file standard.

  4. 04Recognize

    Run OCR, normalize text, and preserve page-level traceability.

  5. 05Structure

    Identify hierarchy, components, metadata, and relationships.

  6. 06Verify

    Review quality, package outputs, and deliver manifests and checksums.

Possible project outputs

Files shaped around the intended use.

The final specification is agreed after sample conversion. Projects can combine source images, readable documents, structured text, and machine-oriented formats.

IMG

Page images

Consistent archival or production images tied to source order and identifiers.

TXT

Clean text

OCR output reviewed and normalized to the accuracy level agreed for the collection.

DOC

Readable editions

PDF, PDF/A, EPUB, or another agreed format for people who need to review the material.

DATA

Structured content

XML, JSON, tabular, or other agreed representations of hierarchy and components.

META

Metadata

Book, edition, page, section, image, and collection fields appropriate to the use case.

QA

Delivery evidence

Manifests, checksums, quality notes, exceptions, and acceptance records.

Responsible use

Rights are a project requirement, not an afterthought.

DirectionPress works with materials the client owns or is authorized to digitize and use. The permitted training, evaluation, retrieval, research, or internal use is documented before production begins.

Client-controlled purpose

The client defines the authorized use and confirms the necessary rights.

Content ownership stays clear

DirectionPress does not claim ownership of client books, scans, text, or datasets.

Retention is agreed

Storage, access, transfer, return, and deletion expectations are documented for the project.

Acceptance is measurable

Samples and quality criteria provide a shared basis for review and delivery.

Prepare for a useful first conversation

What we need to understand.

  • Number and type of books or documents
  • Physical condition, binding, languages, and typography
  • Rights status and permitted use
  • Desired text, image, document, and data formats
  • Intended AI training, retrieval, evaluation, research, or internal use
  • Security, transfer, retention, and deletion requirements

Start with a representative sample

Let the source material define the right workflow.

Tell us what the collection contains, what rights you hold, and how the resulting data will be used. DirectionPress can propose a sample conversion and acceptance plan.