Products

Enterprise

Research

Developers

Company

Select Language

Playground

Talk to Sales

動画でやりたいことすべてをここから。

セマンティック検索やコンテンツレコメンドのような機能を構築することも、可能性を再定義する革新的なアプリケーションを開発することもできます。

Playgroundへ移動

人間並みの理解力。人間の限界を超える成果のために。

これまでに体験したどの技術をも上回る、セマンティック検索と動画のテキスト化機能を体感してください。動画特化型AIが、その違いを生み出します。

Search

自然な言葉でシーンを説明するだけで、動画内の特定の瞬間を見つけ出せます。

Analyze

動画から要約・チャプター・ハイライトなどのテキストを自動生成。

Embed

自然言語で独自の分類器を構築し、即座に実行。

Build your own classifier using natural language and run instantly.

自然言語であらゆるシーンを検索。

探している内容を正確に理解し、文脈を踏まえた高速で精度の高い検索結果を提供します。音声、テキスト、オーディオ、映像を横断して検索し、動画をあらゆる次元から探索できます。

詳しく見る

Playgroundをお試しください

Button Text

探したいものは？

サンプルアプリで「検索」を試してみる

サンプルアプリ一覧を見る

Python

Node

Olympic Video Classification Application

The Olympics Video Clips Classification Application is a powerful tool designed to categorize various Olympic sports using
video clips.

Python

Node

Shade Finder App: Pinpoint Specific Colors in Videos

Whether you're looking to find the perfect berry-toned lipstick or just curious about spotting specific colors in your videos, this guide will help you leverage cutting-edge AI to do so effortlessly.

Python

Node

Video Highlight Generator

The YouTube Chapter Highlight Generator is a tool developed to automatically generate chapter timestamps for YouTube videos.

See all sample apps

Analyze

要約し、分析し、説明する。

Q&A、ハッシュタグ、要約などのテキスト形式を即座に作成。レポートを生成することも、専門分野に特化した分析によって最も深い問いに答えを得ることもできます。

詳しく見る

Playgroundをお試しください

Analyze

要約し、分析し、説明する。

詳しく見る

Playgroundをお試しください

Analyze

要約し、分析し、説明する。

詳しく見る

Playgroundをお試しください

Button Text

説明したいものは？

サンプルアプリで「分析」を試してみる

Try 'analyze' with a Sample App

サンプルアプリ一覧を見る

Node

Generate social media posts for your videos

This application simplifies the cross-platform video promotion workflow by generating unique posts for each social media platform.

Node

Video Highlight Generator

This application automatically analyzes video content to create chapters and highlights, streamlining the video production workflow for content creators.

Python

Node

Interview Analyzer

This application evaluates job interview performances using the ability of the Pegasus video understanding engine to generate text based on video content.

See all sample apps

Embed

動画をベクトル化する。

ニュアンスまで捉えるエンベディングを活用して、セマンティック検索やドメイン分類といった機能を構築し、あらゆるデータを最大限に活かします。

詳しく見る

Playgroundをお試しください

Embed

動画をベクトル化する。

詳しく見る

Playgroundをお試しください

Embed

動画をベクトル化する。

詳しく見る

Playgroundをお試しください

Button Text

開発したいものは？

サンプルアプリで「エンベッド」を試してみる

サンプルアプリ一覧を見る

Node

Contextual and Personalized Ads

A tool for analyzing source footage, summarizing content, and recommending ads based on the footage's context and emotional tone.

Python

Node

Recommendations using Multimodal Embeddings

Start exploring videos and discovering similar content powered by TwelveLabs Multimodal Embeddings.

See all sample apps

TOP USES

Tailored for your industry.

Media & Entertainment

Advertising

Govt. & Security

Automotive

Automated Clip Generation

Create instant clips from longer content to use in social media and marketing.

Scene Selection

Quickly find and categorize key scenes. Choose the best takes and curate moments easily.

Bloopers and BTS Content

Get auto-curated highlight reels featuring the best of BTS or other special footage.

Automatic Tagging

Easily access and manage content in a vast video library — no manual tagging needed.

Content Summarization

Generate high-quality summaries and headlines to communicate the core message quickly.

Content Discovery

Find any key moment in footage easily — or help customers discover them too.

Real-Time Scene Classification

Get editorial support mid-workflow for seamless, swift production.

Ad Matching

Use contextual ad placement to ensure your customers’ attention and engagement.

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finishtask.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

パーソナライズされたSDKとあなたのビジョンとの統合。

Deploy your custom-trained model on any cloud. See and surface everything in your video, then go beyond with AI that can realize your most game-changing ideas.

Get the SDK

TOP USES

Tailored for your industry.

Media & Entertainment

Advertising

Govt. & Security

Automotive

Automated Clip Generation

Create instant clips from longer content to use in social media and marketing.

Scene Selection

Quickly find and categorize key scenes. Choose the best takes and curate moments easily.

Bloopers and BTS Content

Get auto-curated highlight reels featuring the best of BTS or other special footage.

Automatic Tagging

Easily access and manage content in a vast video library — no manual tagging needed.

Content Discovery

Find any key moment in footage easily — or help customers discover them too.

Content Summarization

Generate high-quality summaries and headlines to communicate the core message quickly.

Real-Time Scene Classification

Get editorial support mid-workflow for seamless, swift production.

Ad Matching

Use contextual ad placement to ensure your customers’ attention and engagement.

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path,
language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

パーソナライズされたSDKとあなたのビジョンとの統合。

Deploy your custom-trained model on any cloud. See and surface everything in your video, then go beyond with AI that can realize your most game-changing ideas.

Get the SDK

TOP USES

Tailored for your industry.

Media & Entertainment

Advertising

Govt. & Security

Automotive

Automated Clip Generation

Create instant clips from longer content to use in social media and marketing.

Scene Selection

Quickly find and categorize key scenes. Choose the best takes and curate moments easily.

Bloopers and BTS Content

Get auto-curated highlight reels featuring the best of BTS or other special footage.

Automatic Tagging

Easily access and manage content in a vast video library — no manual tagging needed.

Content Summarization

Generate high-quality summaries and headlines to communicate the core message quickly.

Content Discovery

Find any key moment in footage easily — or help customers discover them too.

Real-Time Scene Classification

Get editorial support mid-workflow for seamless, swift production.

Ad Matching

Use contextual ad placement to ensure your customers’ attention and engagement.

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path,
language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

パーソナライズされたSDKとあなたのビジョンとの統合。

Deploy your custom-trained model on any cloud. See and surface everything in your video, then go beyond with AI that can realize your most game-changing ideas.

Get the SDK

まずは無料で体験。そして利用した分だけ支払う。

段階的な料金プランにより、まずは試して開発を始め、その後にサービスを公開し、成長させることができます。

段階的な料金プランにより、まずは試して開発を始め、その後にサービスを公開し、成長させることができます。当社の基盤モデルのいずれかから始めて、使った分だけお支払いください。

無料

テスト、開発向け

Get started

Indexing limit

<10 hours

Environment

Shared

Org account

SSO/ SAML

Finetune

デベロッパー

サービス公開、事業拡大向け

Upgrade

Indexing limit

Unlimited

Environment

Shared

Org account

SSO/ SAML

Finetune

エンタープライズ

大規模運用、各種サービス向け

Learn more

Indexing limit

Unlimited

Environment

Dedicated

Org account

Included

SSO/ SAML

Included

Finetune

Included

Our stable of models.

これらの最先端の動画基盤モデルは、ビデオインテリジェンスの新たな標準を打ち立てています。

Models

At TwelveLabs, we’re developing video-native AI systems that can solve problems with human-level reasoning. Helping machines learn about the world — and enabling humans to retrieve, capture, and tell their visual stories better.