Content production
Content production for museums and exhibitions
Three production models, from professional studio production to self-service AI
Choose how your content is made
The right model depends on the role of the story, the number of languages, the deadline and how often the content will change. For the two managed models, Look2Innovate coordinates the appropriate professionals from our partner network. The self-service model is operated by your team. We can also combine methods within one project, using human performance for the main tour and AI where speed or frequent updates matter more.
Highest creative control
Professional studio production
Professional writers, translators, voice actors, directors, sound engineers and composers from our partner network create every part of the tour. No generative AI is used in the production.
Best balance of quality and budget
AI-assisted
Professionals from our partner network combine human writing, direction and quality control with our in-house AI tools. The result approaches human-production quality for suitable material at a more competitive price.
Included at no extra charge with our hardware
Self-service AI
Create scripts, translations and narrated audio yourself in Look2Guide. The AI Content Studio is included at no extra charge with all Look2Innovate hardware projects.
Compare the three production models
| Production detail | Professional studio production | AI-assisted | Self-service AI |
|---|---|---|---|
| Editorial and creative work | |||
| Production lead | Look2Innovate + partner team | Look2Innovate + partner producer | Your team |
| Script development | Human writer | Human-led with AI support | AI tools + your review |
| Translation | Human translator | AI draft + native review | AI generation + your review |
| Narration | Professional voice actors | AI or human voice | AI voice |
| Original music and bespoke sound design | Included | Available | Not included |
| Human quality control | Included | Included | Your team |
| Delivery, updates and cost | |||
| Device-ready mastering and publishing | Included | Included | Self-service in Look2Guide |
| On-device testing | Included | Included | Your team |
| Changes after launch | New studio booking | Reuse the approved AI voice | Regenerate directly |
| Typical schedule | Longest | Faster | Fastest |
| Production cost | Highest | Mid-range | Included with hardware |
| Best suited to | Flagship and theatrical tours | Quality-focused multilingual tours | Frequent updates and tight budgets |
Production decisions informed by real listening data
We build the hardware and software that deliver the finished tour, so production does not stop at a studio master. Our team uses experience from museum and exhibition deployments together with Look2Guide listening statistics, including stop starts and completion rates, to shape pace, duration and structure. We then test content on the actual device and headset in the exhibit environment.
Related content and tools
AI Content Studio
Included free with every Look2Innovate project, AI Content Studio is the full authoring suite for creating, editing, translating, and publishing museum audio. Teams can generate narrated audio, translate tours into visitor languages, and keep editorial control before anything reaches an exhibit.
Content Management System
Look2Guide CMS is a web-based content management system used to program and manage audio guide deployments. It is included at no extra cost with rentals and purchases, with an optional MDM upgrade for statistics and remote content updates.
Museum audio guide content production: voiceover, translation and AI
How museums take an audio guide script from approved draft to device-ready audio: recording briefs, voice casting, multilingual translation, AI-generated narration, format requirements and CMS sync.
Not sure which production model fits?
Tell us about the collection, languages, deadline and budget. We will recommend where human craft adds value and where our AI tools can reduce cost or make future updates easier.
Discuss your content project