TwelveLabs

Hakkında

Video foundation models behind one API. Marengo indexes visuals, speech and on-screen text so text or image queries return clips with timestamps; Pegasus writes summaries, chapters and answers from a video. Pegasus is full in English, partial in 12 more languages. Also on Amazon Bedrock.

Neler yapabilirsin

• Find the moments in a video library that match a text or image query, with timestamps
• Generate summaries, chapters, highlights or answers to questions about a long video
• Create video embeddings for your own semantic search or recommendation system

Başlarken

1. Create an API key in the TwelveLabs Playground
2. Create an index with Marengo 3.0, then upload or link your videos
3. Search the index, or analyze a video with Pegasus

Örnek kod

from twelvelabs import TwelveLabs

client = TwelveLabs(api_key="<YOUR_API_KEY>")

results = client.search.query(
    index_id="<YOUR_INDEX_ID>",
    query_text="a player celebrates a goal",
    search_options=["visual", "audio"],
)
for clip in results:
    print(clip.video_id, clip.start, clip.end, clip.rank)

Ayrıntılar

Barındırma

Hazır hizmet (bulut)

Kullanılabildiği yerler

Tüm dünya

Resmi SDK'lar

Python, JavaScript/TypeScript

MCP sunucusu

Uzak sunucu

Entegrasyonlar

AWS