MomentSearch
MomentSearch is open-source software for visual video search and retrieval-augmented answers tied to exact moments.
What MomentSearch is
MomentSearch is open-source software for visual video search and retrieval-augmented answers tied to exact moments. Users can upload videos or submit YouTube URLs for indexing. Queries search both visual frames and transcript text, then combine the results. Answers can cite clickable moments with matched keyframes, timestamps, transcript synchronization, seen-or-said labels, and match scores. If neither retrieval branch meets its confidence threshold, the system can abstain without making an LLM call. Without an LLM key, it still returns ranked clickable moments but does not generate prose answers. Answer, embedding, reranking, and speech-to-text models can be configured by provider, including hosted and local options. The project ships as a Docker image and documents deployment to Fly, AWS, and Google Cloud. Its API has no authentication: anyone who can reach its port can upload, ingest, ask, or delete data. It recommends localhost binding or an authenticating proxy and private storage buckets. The application is single-user by default. MomentSearch is released under the Apache 2.0 license.
Good
- Search combines visual frames and transcript text.
- Citations link to timestamps and matched keyframes.
- Can return ranked moments without an LLM key.
- Models can use hosted or local options.
- Released under the Apache 2.0 license.
Watch out
- The API has no authentication.
- The application is single-user by default.
- Speaker recognition requires a Gemini API key.
- SocialKit YouTube ingestion has 20 free credits, then costs.
Who it suits
MomentSearch suits people building video search or retrieval systems who can manage deployment and API access controls. It may also fit those who want configurable hosted or local models and can work with retrieval-only results when no LLM key is configured.
Verdict
MomentSearch offers video retrieval across both visual and transcript content, with clickable, timestamped citations. Its unauthenticated API and single-user design require careful deployment and access protection.
The facts
Each one read from MomentSearch's own pages, with the date it was checked.
What it does
- Abstention
- A confidence gate can abstain without making an LLM call when neither retrieval branch clears its threshold.checked 30 Sep 2026
- Citations
- Answers include clickable citations with matched keyframes, timestamps, transcript synchronization, evidence badges, and match scores.checked 1 Oct 2026
- Default models
- The documented default stack uses OpenAI GPT-4o for answers, OpenAI text-embedding-3-small for transcripts, local CLIP for frames, fastembed for reranking, Whisper-1 for speech-to-text, and Gemini for speaker recognition.checked 1 Oct 2026
- Deployment
- MomentSearch is packaged as a Docker image with api, worker, clip, and seed entrypoints and can deploy anywhere Docker runs.checked 1 Oct 2026
- Input
- Users can upload videos or paste YouTube URLs for indexing.checked 1 Oct 2026
- Integrations
- Documented infrastructure integrations include Postgres, Qdrant, Prefect, and object storage through Tigris, Amazon S3, or Google Cloud Storage.checked 1 Oct 2026
- License
- MomentSearch is released under the Apache 2.0 license.checked 1 Oct 2026
- Model flexibility
- Answer, embedding, reranking, and speech-to-text models are configurable by provider name, including hosted and local options.checked 1 Oct 2026
- Models
- Answer, embedding, reranking, and speech-to-text models are pluggable by provider name, with OpenAI, Gemini, Anthropic, OpenRouter, xAI, Groq, Together, Fireworks, Mistral, NVIDIA, Azure OpenAI, Ollama, LM Studio, vLLM, Cohere, Voyage, Jina, and local CLIP options documented.checked 30 Sep 2026
- Purpose
- MomentSearch lets users ask questions about videos and retrieves exact moments using what appears on screen and what is said in transcripts.checked 1 Oct 2026
- Retrieval
- The system searches visual frames and transcripts in parallel, fuses the results, and reranks matching moments.checked 1 Oct 2026
- Retrieval-only mode
- Without an LLM key, the application still returns ranked clickable moments but does not generate prose answers.checked 1 Oct 2026
- Security limit
- The API is unauthenticated; anyone who can reach its port can mint upload URLs, ingest, ask, and delete, so the README recommends localhost binding or an authenticating proxy.checked 30 Sep 2026
- Security limitation
- The API has no authentication, and anyone who can reach the port can upload, ingest, ask, and delete data.checked 1 Oct 2026
- Speaker recognition
- Optional per-video speaker recognition uses Gemini video understanding to label who said each line.checked 1 Oct 2026
- Storage integrations
- Object storage supports local storage, AWS S3, GCP storage, GCP native storage, and Fly Tigris, while the architecture uses Postgres, Qdrant, and Prefect Cloud.checked 30 Sep 2026
- Storage protection
- The project recommends keeping buckets private and using presigned URLs for uploads and playback.checked 1 Oct 2026
- Uploads
- Presigned uploads send gigabytes directly from the browser to object storage instead of through the API.checked 30 Sep 2026
- User model
- The application is single-user by default and ignores X-User-Id and Authorization headers, routing every request through SINGLE_USER_ID.checked 30 Sep 2026
- YouTube ingestion limit
- The documented SocialKit YouTube ingestion option provides 20 free credits and then becomes paid, while cookie authentication is free but cookies expire approximately every two to three weeks.checked 30 Sep 2026
The company
- Maker privacy
- Traversaal.ai says it uses strictly necessary authentication and usage cookies and does not use cookies for advertising, analytics, or tracking.checked 30 Sep 2026
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