Now live on Syllabyte

Historical Cataloguing

Digitised historical material, old journals, manuscripts, correspondence, institutional archives, usually arrives with none of the structured information a library catalogue needs. No ISBN, no publication date, no consistent way of identifying the people and places it mentions. Getting that information in place has always meant specialist cataloguers working through material by hand. Syllabyte can now do most of that work automatically.

What's new

• Classifies content type automatically. Syllabyte reads a piece of content and assigns it the correct library-standard content type (text, image, audio, video, and so on), the same classification a trained cataloguer would apply. Every suggestion is reviewed and confirmed by a person before it's applied.

• Estimates when a document was written. By reading dates, volume numbers, references, and even the language style used, Syllabyte can work out an approximate era for undated material, complete with a confidence rating and a plain explanation of how it got there.

• Links names to the world's authoritative name registry. Every person, organisation, and place mentioned in a document is automatically matched against the Library of Congress's name authority records, so "Virginia Woolf", "V. Woolf", and "Woolf, Virginia" all resolve to one definitive, permanently identified entry.

• Uses era to avoid false name matches. Knowing roughly when a document was written means Syllabyte can rule out people who couldn't possibly be the one mentioned, so a 19th century reference to "Dr. Johnson" won't get matched to someone alive today.

• Layers your own classification on top. Alongside the library-standard work, content can also be automatically classified against your organisation's own taxonomies, difficulty levels, or subject schemes.

Where to find it

These capabilities run automatically as part of Syllabyte's processing pipeline for uploaded content. Suggested classifications, dates, and name matches appear in the review queue for a cataloguer to confirm, nothing is applied without sign-off.

Read more on the Syllabyte blog →

New: ONIX 3.0 Export

Sending accurate, up-to-date metadata to retailers and distributors has traditionally meant building ONIX files by hand or relying on a developer every time something needs to go out. Syllabyte can now generate them for you, directly from the metadata you've already entered.

What's new

Generates standards-compliant ONIX 3.0 files. Built straight from your existing content metadata, accepted by major trade partners with no reformatting required.

Separates digital and print editions automatically. Each edition type gets its own export, matching the way ONIX expects them to be reported.

Keeps forthcoming titles and corrections in sync. Publication status and pre-order dates are reflected automatically, and you can push a correction notice to retailers whenever something changes.

Includes audience details where needed. Age ranges and school grade levels can be added for titles that require them.

Pulls in Look Inside preview images automatically. If a title already has Look Inside pages generated, they're embedded in the ONIX file as ready-to-use preview links, with no extra work required.

Covers a whole catalogue in one file. Run an export at programme level and every title is included as its own record.

Where to find it

Set your trade details (publisher name, sales territory, subject classification) once, then trigger an export for any title, edition, or your whole catalogue from your project dashboard.

Read more on the Syllabyte blog →

Look Inside Export

Now live on Syllabyte

Getting a book's "look inside" sample pages ready for retailers and distributors used to mean exporting pages by hand, renaming files to match each distributor's rules, and repeating the whole process for every title in your catalogue. Look Inside Export does that work for you.

What's new

Upload a book file to Syllabyte and Look Inside Export will:

• Pick the right pages automatically. Our AI scans the file, finds the cover, and selects sample interior pages that best represent the book, so nobody has to choose them by hand.
• Produce publication-quality images. Pages are rendered at high resolution, ready for direct submission to distributors.
• Match any distributor's naming rules. Whether Amazon, a regional retailer, or your own catalogue system needs a specific file naming format, Look Inside Export can generate it. You can even produce several different naming formats from a single export, each one ready to go.
• Give you a preview before you commit. Check which pages will be included before the final files are generated.
• Provide stable, shareable image links. Every page also gets a permanent web address you can use on product pages, in catalogue feeds, or anywhere else a "look inside" preview is needed. No need to regenerate anything later.

Where to find it

Look Inside Export is available now from your project dashboard. Upload a file, preview the page selection, and export when ready.

[Read more on the Syllabyte blog →]

Version 2.8 – Meet Your New Content Partner

v2.8 📅 Released Q1 2026

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Syllabyte Release Notes – Version 2.8

New Features

• Chalky Conversational AI – Chalky transforms from a tool interface into an intelligent conversational partner for educational content development, with natural language understanding for complex educational queries

• Context-Aware Conversations – Multi-turn conversations with memory retention, context awareness across conversation history, and intent recognition for educational content tasks

• Proactive Suggestions – Chalky learns from user patterns to offer proactive suggestions, with emotional intelligence for UX optimisation

Enhanced MCP Capabilities

• Workflow Orchestration – Orchestrate complex content development workflows through natural conversation, with follow-up question processing and collaborative problem solving

• Educational Domain Expertise – Specialised knowledge for educational content tasks, with iterative content creation assistance

Advanced AI Integration

• Retrieval Augmented Generation (RAG) – Improved accuracy through RAG, ensuring Chalky's responses are grounded in your programme data

• Function Calling – Natural language triggers for platform functions, with error recovery and clarification requests

• Learning Personalisation – Responses and suggestions adapt based on user preferences and interaction history

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Version 2.8 represents a step change in how teams interact with Syllabyte, transforming Chalky into a next-generation AI partner that makes educational content development faster, more intuitive, and more collaborative.

Version 2.7 – Your Central Content Hub, Supercharged

v2.7 📅 Released January 2026

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Syllabyte Release Notes – Version 2.7

New Features

• Customisable Export/Import – Extract precise data in reusable formats and re-import externally processed projects back into Syllabyte, maintaining a single, reliable source of truth that updates over time

• Project Lifecycle Tools – Create, reuse, duplicate, and update projects more efficiently with new project collaboration tools, reusable configurations, and structured spreadsheet exports and imports

• Co-Admin Roles – Support team-based workflows with co-admin roles that enable shared project ownership and collaborative management

• Safe Deletion Workflows – Protected deletion processes ensure programme data integrity with clear safeguards against accidental loss

Improvements

• Reduces manual edits and minimises the risk of outdated information across editorial teams

• Reusable configurations save setup time for recurring programme structures

• Prepares databases for future adaptive development by ensuring clean, structured, and current content at all times

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Version 2.7 establishes Syllabyte as the central hub for programme data, with major enhancements to how teams manage, share, and maintain projects.

Version 2.6 – Polished at the Point of Review

v2.6 📅 Released Q4 2025

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Syllabyte Release Notes – Version 2.6

New Features

• Copy/Edit Proofing – The Proofing tool now generates technical and mechanical corrections for spelling, grammar, punctuation, and formatting directly within the review stage

• Real-Time Inline Corrections – The human in the loop can amend AI-generated corrections during review, with tweaks reflected in the final output in real time

Improvements

• Eliminates the need for a separate editing pass after review, streamlining the review-to-publish workflow

• Editorial teams maintain full control over corrections while gaining significant time savings

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Version 2.6 focused on editorial efficiency, enabling corrections at the point of review rather than as a separate stage.

Workforce-Ready Content

v2.5.2 📅 Released Q2 2025

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Syllabyte Release Notes – Version 2.4.1

New Features

• O*NET Database Integration – Syllabyte now integrates O*NET occupational data covering 1,000+ occupations, connecting educational content directly to real-world job skills and career pathways

• Skills Mapping Engine – Align learning content to career outcomes with automated content-to-career mapping across all industry sectors

• Career Pathway Visualisation – Interactive visualisation and recommendation tools that show learners and organisations how programmes map to career progression

• Skills Gap Analysis – Identify skills gaps for learners and organisations, enabling targeted content development and workforce planning

• Competency Framework Mapping – Map content to established competency frameworks with Job Family Classification across all industry sectors

Why It Matters

• Enables publishers and L&D teams to connect learning outcomes directly to workforce needs, making content more relevant and marketable

• Learners and organisations gain clear visibility into how educational programmes map to career progression and skills requirements

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Version 2.4.1 focused on workforce intelligence, bringing O*NET integration into the platform to bridge the gap between education and employment.

Syllabyte.ai Release Notes - Version 2.5.1

Bug Fixes

• Fixed copy and paste functionality for classifications and alignments across multiple slices and content items
• Resolved issues with the project review page functionality
• Various bug fixes and performance improvements

New Features

• Staging Support: Added ability to stage collections of alignments or classifications from recent history, syllabus, and custom list browsers before submission
• Third-Party Reviewer Infrastructure: Updated core infrastructure to enable external reviewers to join the platform outside of tenant groups (full functionality coming in next release)

Improvements

• Enhanced "align to all slices" functionality and improved automatic primary slice detection for better copy-paste experience across content items
• Updated learning objective relationships mapper and visualizer
• Improved knowledge graph generation and outcome alignment propagation

Syllabyte.ai v2.4.0 - Ingestion Improvements

AI and Machine Learning

• Enhanced AI Integration - Improved content analysis models
• Smart Content Generation - Auto-generated metadata, summaries, and learning objectives
• Multilingual Support - Expanded language capabilities with context-aware suggestions

Content Processing Pipeline

• Enhanced Document Processing - PDF, Word, PowerPoint integrations
• Media Processing - Image optimization, video thumbnails, audio speech-to-text

User Interface Updates

• Performance Improvements - 40% faster page loads, optimized queries

Integration Enhancements

• Enhanced Integrations
• Workflow Improvements - Streamlined content development processes

Version 2.4.0 focused on AI capabilities and content intelligence, laying the foundation for v2.5.0.