AI app for it and development · no coding needed
Searchable video library and analysis console
Reduce time to find and analyze relevant video moments while keeping the library and its embeddings under the owner's control.
Made for: Product and data teams running large video libraries that need search, summarization and analysis
What it does for you
The problem
Video content is hard to search, summarize and analyze at scale, and the work is spread across several rented tools.
What it gives you
Reviewed search results, summaries and analysis records linked to time-stamped evidence
What you give it
Licensed videoaudiotranscriptsmetadata
Build your own version of TwelveLabs, TwelveLabs Marengo 3.0 and more
One app with what these 3 AI tools do, yours to keep and change: TwelveLabs, TwelveLabs Marengo 3.0, VMTP.
Everything these tools do, in one app
- Natural language video search Allows users to search inside video content using plain language queries.Found in TwelveLabs
- Video summarization and analysis Generates detailed summaries and textual analyses from video content.Found in TwelveLabs
- Multimodal embeddings Creates rich embeddings from video, audio, text, and images for tasks like classification and recommendation.Found in TwelveLabs, TwelveLabs Marengo 3.0
- Large-scale video library support Handles extensive video collections efficiently for scalable understanding.Found in TwelveLabs
- Free tier and playground Provides a free tier and an interactive playground to explore capabilities without commitment.Found in TwelveLabs
- Unified multimodal embeddings Combines video, audio, text, and images into a single embedding space for precise search and retrieval.Found in TwelveLabs Marengo 3.0
- Action-level retrieval Improves retrieval of fast-moving actions and long-form content.Found in TwelveLabs Marengo 3.0
- Multilingual search Enables native search across 36 languages for international datasets.Found in TwelveLabs Marengo 3.0
- Audio retrieval Covers both speech and non-speech audio retrieval for comprehensive analysis.Found in TwelveLabs Marengo 3.0
- Storage-efficient design Reduces storage footprint by 3-6× compared to comparable models, lowering infrastructure costs.Found in TwelveLabs Marengo 3.0
- Time-stamped chunking Transforms videos into synchronized audio and visual segments for accurate timing.Found in VMTP
- Integration with 100+ AI models Supports connectivity to over 100 AI models through Openrouter for flexible AI workflows.Found in VMTP
- API-based architecture Allows easy incorporation into existing AI workflows via API.Found in VMTP
- Content improvement insights Analyzes video content to provide insights for content improvement.Found in VMTP
- Video platform connectors Plans to support connectors for popular video platforms like YouTube and Vimeo.Found in VMTP
How it works, step by step
- Ingest video, audio, transcripts and metadata
- Search inside video with plain-language queries
- Generate summaries and textual analyses from video content
- Build multimodal embeddings from video, audio, text and images
- Support large video libraries with scalable indexing
- Provide a free tier and an interactive playground
- Combine modalities into one embedding space for retrieval
- Retrieve fast-moving actions and long-form content
- Search natively across many languages
- Retrieve speech and non-speech audio
- Reduce storage footprint with an efficient embedding design
- Chunk videos into synchronized audio and visual segments with time stamps
- Connect to external AI models for flexible workflows
- Expose an API for existing AI workflows
- Produce content improvement insights from analyzed video
- Plan connectors for common video platforms
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed search results, summaries and analysis records linked to time-stamped evidence with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Searchable video library and analysis console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Searchable video library and analysis console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce time to find and analyze relevant video moments while keeping the library and its embeddings under the owner's control. For product and data teams running large video libraries that need search, summarization and analysis, convert licensed video, audio, transcripts and metadata into reviewed search results, summaries and analysis records linked to time-stamped evidence. The benefit is a testable hypothesis, measured through accepted search results per analyst hour and correction rate after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed video, audio, transcripts and metadata, then follow this sequence: 1. Ingest video, audio, transcripts and metadata. 2. Search inside video with plain-language queries. 3. Generate summaries and textual analyses from video content. 4. Build multimodal embeddings from video, audio, text and images. 5. Support large video libraries with scalable indexing. 6. Provide a free tier and an interactive playground. 7. Combine modalities into one embedding space for retrieval. 8. Retrieve fast-moving actions and long-form content. 9. Search natively across many languages. 10. Retrieve speech and non-speech audio. 11. Reduce storage footprint with an efficient embedding design. 12. Chunk videos into synchronized audio and visual segments with time stamps. 13. Connect to external AI models for flexible workflows. 14. Expose an API for existing AI workflows. 15. Produce content improvement insights from analyzed video. 16. Plan connectors for common video platforms. Resolve uncertain cases with qualified reviewers, approve reviewed search results, summaries and analysis records linked to time-stamped evidence, and measure accepted search results per analyst hour and correction rate after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed embedding model and licensed media set; final editorial and rights checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Owners approve substantive changes and publication scope. One fixed embedding model and licensed media set; final editorial and rights checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed embedding model and licensed media set; final editorial and rights checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: ingest video, audio, transcripts and metadata; search inside video with plain-language queries. Support the third module with operator review: generate summaries and textual analyses from video content. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Owner-authorized video libraries, transcripts and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Library and ingestion, Search and analysis workspace, Review and export. Use a thumbnail and transcript gallery for the video library, a large central player with a synchronized transcript and timeline, and a right-hand panel for filters, embeddings status, summaries and comments. Let users compare candidate moments side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant timecode. Make the task-specific outcome reviewed search results, summaries and analysis records linked to time-stamped evidence visible beside its evidence, review state and value baseline.
