AI tools for publishing: a comparative table to help you navigate

27/5/25

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As a wave of AI tools continues to emerge, each claiming to be the most powerful on the market, many publishing professionals are left wondering: Which AI tools are best suited for publishing? Which ones are genuinely relevant and safe for our line of work?

To answer these questions, we spoke with over thirty professionals across the publishing sector. Their feedback informed the creation of our 2025 AI guide for publishers and helped us identify the AI tools that are currently being used in practice.

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This summary presents those insights in the form of a comparative table highlighting mainstream AI tools employed in publishing today, categorized by profession.

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Please note: this is not a ranking or endorsement of any particular tool. Our approach is intentionally neutral, aimed at offering a factual snapshot of the current state of AI in publishing.

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We’ve also included an assessment of each tool’s limitations and potential data security risks. These tools may be powerful, but it's essential to stay vigilant about protecting your data and upholding royalty rights.

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Overview of Artificial Intelligence tools in publishing

Here is a current overview of AI tools used in the publishing sector:

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Tool	Usefulness	Relevant professions	Languages	Free or paid	Level	Limitations	Security
Firebrand Technologies	Metadata generation, Product sheet and commercial pitch generation	Marketing, Publishers, Sales	English	Paid	Intermediate 🔵 🔵	Depends on the quality of initial data	Few details available
Sudo Write, Antidote, LanguageTool	Proofreading and editing of publications	Proofreaders and authors	French, English	Paid	Easy 🔵	Does not analyze overall text coherence	Few details available
MyPoolitzer	Manuscript evaluation	Publishers	English, German	Paid	Intermediate 🔵 🔵	Based on preexisting models	Database may be transferred abroad
QualiFiction (LiSA)	Pre-sorting of manuscripts (fiction)	Publishers	German	Paid	Intermediate 🔵 🔵	Improvable predictive score	High data security, ISO 27001 certification
VeriStage - Insight	Text analysis and metadata generation	Publishers, Marketing	English	Paid	Intermediate 🔵 🔵	Not well-suited for specialized texts	Few details available
AIRA (Frontiers)	Plagiarism detection and peer review	Scientific publishers	English	Paid	Difficult 🔵 🔵 🔵	Specific to the scientific field	Few details available
Crealo	Royalty management, rights transfers, contract generation	Royalty manager	French, English	Paid	Easy 🔵	Requires human validation	High data security, ISO 27001 certification
DeepL, ModernMT	Translation and post-editing	Proofreaders, Publishers	Multilingual	Free (Paid options)	Easy 🔵	Human review essential	Few details available
Midjourney, Adobe Firefly, Nightcafe	Visual generation	Designers, Publishers	English	Paid (Nightcafe free version)	Difficult 🔵 🔵 🔵	Lack of control over output	Data may be stored on external servers
ABBYY (FineReader), Google AI OCR	Text digitization	Publishers	Multilingual	Paid	Easy 🔵	Requires manual verification	Few details available
ElevenLabs, DeepZen	Audiobooks and audio description	Publishers	English	Paid	Intermediate 🔵 🔵	Artificial voices sometimes need improvement	Few details available
Demand Sens	Print optimization	Sales, Publishers	English	Paid	Intermediate 🔵 🔵	Depends on data quality	May share information with other group companies
Breeze, Meta AI, AdCreative.ai	Ad targeting	Marketing	English	Meta AI is free, the other tools are paid	Easy 🔵	Requires user data	Data may be stored on servers
Readow	Book recommendation	Marketing, Publishers	English	Paid	Intermediate 🔵 🔵	May lack personalized data	Few details available
ChatGPT, Jasper, Mistral AI	Content writing	Marketing, Press	Multilingual	Free but protected versions are paid	Easy 🔵	Answer reliability	Transmitted data is used (except for enterprise accounts)
Buffer AI, Hootsuite AI, Lately AI	Social media posts	Marketing	English	Paid	Easy 🔵	Lack of innovation in content	Standard protection
Zapier, Mention, Sprout Social	Competitive intelligence	Marketing	English	Paid	Easy 🔵	May lack relevance on niche topics	Few details available
UiPath	Administrative automation	Royalty management, Administrative	English	Paid	Difficult 🔵 🔵 🔵	Complex to integrate	Few details available
Whisper AI, Otter.ai	Interview transcription	Press, Publishers	Multilingual	Paid (partially free)	Easy 🔵	Accuracy varies by accent	Transmitted data is used (except for Enterprise accounts)
Meltwater	Literary review analysis	Press, Marketing	English	Paid	Intermediate 🔵 🔵	Non-exhaustive analysis	Standard protection

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Put strategy before tools

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"If I had eight hours to chop down a tree, I’d spend the first six sharpening my axe.", Abraham Lincoln

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We hope this overview of AI tools proves useful to you. However, the aim isn’t just to collect tools for the sake of it, but to make thoughtful, effective use of them.

Each tool should be approached as a project in its own right: tested, evaluated for its relevance, understood in terms of its limits, and explored deeply to make the most of its potential.

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Learning is essential, these technologies only become truly useful to publishing professionals when they are well understood and properly used.

The goal isn’t to adopt AI just because it’s trending, but to choose the tools that best fit your specific work environment and add real value.

In short, it’s not the tool that defines the strategy, it’s a clear strategy that gives meaning to the tool.

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If you’d like to go further and explore best practices for integrating AI into your publishing work, check out our white paper on AI in publishing.

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👋 Crealo is the most comprehensive royalty management software for automating royalty calculations. We work with over 200 publishers in Europe.

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