Sift Video

6.2easy start · #23of 24
in AI Video Search Tools

Well documentedyes
Runs where you workno

Runs on api, self-hosted, Web.

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Sift Video is ranked #23 of 24 in AI video search tools on The Geeks Club. It runs on API, Self-hosted, Web.

Compared on AI video search tools

Free plan: No
Visual search: Yes
Audio search: Yes
Multimodal search: Yes
API access: Yes

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The record

Purpose: SIFT-Video searches video audio and visual content with natural-language queries and returns relevant timestamps.
Processing: Videos are processed offline, with audio and frames converted into semantic embeddings and indexed in Qdrant.
URL ingestion: The project can download yt-dlp-compatible URLs and stream ingestion progress through server-sent events.
File uploads: The web UI accepts MP4, WebM, MKV, MOV, AVI, and OGV files up to 1 GB.
Search results: Results show video names, timestamps, match types, transcript excerpts, and relevance scores, and can open the video at the matching moment.
Search filters: Users can filter searches to audio, visual, or all matches and scope searches to one selected video.
API: The REST API documents endpoints for search, URL downloads, file uploads, listing and streaming videos, deleting videos, and health status.
Deployment: The project provides Docker Compose instructions for CPU deployment and a separate NVIDIA GPU configuration.
Technology: The documented stack uses Whisper for timestamped speech transcription, MobileCLIP2 for text and image embeddings, FFmpeg, and Qdrant.
Local data handling: The README describes a local Docker deployment with video and output directories and a Qdrant service; it does not state a security certification or compliance status.
License: The repository states that the project is licensed under GNU GPLv3.
Audience: The README provides Docker, Git, and optional NVIDIA GPU setup instructions, and invites users to contribute issues or pull requests.
What it does: SIFT-Video is a multimodal semantic video search engine that searches video audio and visual content with natural-language queries and returns relevant timestamps.
Offline indexing: Videos are processed offline, with audio and frames converted into semantic embeddings and indexed in Qdrant.

Where it ranks on The Geeks Club

Best AI Video Search Tools in 2026#23 of 24

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Sources

github.com/sourav4243/sift-video· checked 7 Oct 2026
github.com/sourav4243· checked 8 Oct 2026