About
Limecraft is an enterprise-grade, cloud-based workspace designed specifically for video content teams, post-production houses, and broadcasters. At its core is a powerful AI-driven Media Asset Management (MAM) system that handles everything from ingesting and organising rushes to archiving finished masters — whether stored on-premise or in the cloud. The platform leverages advanced AI including image recognition, facial recognition, and character recognition to help teams quickly locate, tag, and monetise content within large media libraries. Its speech-to-text transcription engine and machine translation pipeline power a fully integrated subtitling and localisation workflow, enabling broadcast-quality captions in any language with significant cost and turnaround savings (ITV reported 50% cost reduction). Limecraft supports real-time remote collaboration, allowing distributed teams to pre-cut, tag, comment, and approve material together, then export edits directly to NLEs. Customisable low-code workflows cater to specific production types — scripted drama, unscripted entertainment, documentaries — while flexible user management and access controls protect sensitive assets. The Content Delivery workspace enables producers and broadcasters to share a common repository for seamless supply chain management. Limecraft is suited for content creators managing web video libraries, large-scale TV productions, archival preservation projects, and any organisation needing to operationalise and scale its media operations with AI intelligence.
Key Features
- AI Media Asset Management: Ingest, organise, and search large media libraries using AI-powered image, facial, and character recognition to locate and share content efficiently.
- Automated Transcription & Subtitling: Speech-to-text transcription combined with machine translation delivers frame-accurate, broadcast-quality captions and subtitles in any language — cutting turnaround times and costs by up to 50%.
- Real-Time Remote Collaboration: Distributed teams can pre-cut, tag, annotate, and approve footage together in real time, then export edits back to NLEs for seamless post-production handoff.
- Customisable Low-Code Workflows: Off-the-shelf workflow templates for scripted, unscripted, and documentary productions that can be fully tailored to specific MAM, subtitling, and delivery requirements.
- Content Delivery & Supply Chain: A shared delivery workspace between producers and broadcasters that eliminates uncertainty from the content supply chain and streamlines asset handoff.
Use Cases
- A TV broadcaster uses Limecraft to manage thousands of hours of rushes and masters, leveraging facial recognition to rapidly locate talent appearances across its archive.
- A documentary production company collaborates remotely across multiple continents, using Limecraft's logging and storytelling tools to pre-cut and approve sequences before export to the edit suite.
- A post-production facility automates its subtitling pipeline with Limecraft's speech-to-text and machine translation, cutting subtitle turnaround time and reducing operational costs by 50%.
- A streaming service uses Limecraft's localisation workflow to produce broadcast-quality captions in a dozen languages simultaneously for global content distribution.
- A film archive organisation ingests and catalogues tens of thousands of digitised items into Limecraft, using AI tagging and metadata management to preserve and make content searchable for future licensing.
Pros
- End-to-end production platform: Covers the full lifecycle from ingest and logging to subtitling, localisation, and broadcast delivery — reducing the need for multiple point solutions.
- Significant time and cost savings: AI-driven transcription and subtitling have been proven to cut turnaround times and costs substantially, with ITV citing 50% cost savings on subtitling workflows.
- Built for media professionals: Purpose-built AI and workflows tailored to the nuances of TV and film production, rather than generic enterprise software retrofitted for media use.
- Flexible on-premise and cloud storage: Tracks content stored on-premise while offering cloud collaboration, giving studios cost control alongside remote accessibility.
Cons
- Enterprise-focused pricing: Limecraft targets professional production houses and broadcasters, making it potentially cost-prohibitive for independent creators or small teams.
- Learning curve for complex workflows: The platform's breadth of features and customisable workflows may require onboarding time for teams new to structured MAM systems.
- Limited public pricing transparency: Pricing details are not publicly listed, requiring prospective customers to contact the sales team for a quote.
Frequently Asked Questions
What types of production teams is Limecraft designed for?
Limecraft is built for video content teams including TV broadcasters, documentary and unscripted entertainment producers, scripted drama studios, post-production facilities, and archival organisations that need to manage large volumes of media assets.
How does Limecraft's AI transcription and subtitling work?
Limecraft uses a speech-to-text engine to automatically transcribe audio, then applies machine translation to generate subtitles in multiple languages. The workflow is frame-accurate and produces broadcast-quality captions, significantly reducing the manual effort involved in subtitling and localisation.
Can Limecraft integrate with existing editing software?
Yes. Limecraft supports two-way interaction with NLEs (non-linear editors), allowing editors to export-to-edit and transfer edits back and forth for approvals, fitting into existing post-production pipelines.
Does Limecraft support on-premise storage?
Yes. Limecraft tracks and manages content stored on-premise while providing cloud-based collaboration capabilities, giving organisations flexibility to keep storage costs under control.
Is Limecraft suitable for large-scale archiving projects?
Absolutely. Limecraft has been used for major preservation projects — for example, Eclair Préservation manages over 157,000 digitised items totalling 17PB of digital media using the platform.
