Analyze

あらゆる動画を、あらゆるテキストへ。

言語で動画を探究。要約、ハイライト、ハッシュタグから高度なカスタムレポートまで生成。動画の新たな活用を可能にします。

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Products

Enterprise

Research

Developers

Company

Select Language

Playground

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Analyze 01

オープンエンド分析

プロンプトを活用して、Q&Aやタイトルから詳細レポートまで、正確で有用なテキスト形式を生成し、動画中心のワークフローを効率化します。

Analyze 01

Open-ended analysis

Use prompts to generate accurate, useful text formats — from Q&As and titles to detailed content reports — and streamline your video-centric workflows.

Analyze 02

コンテンツ要約

コンテンツの管理、探索、および理解に役立つ、簡潔で効率的な説明、ハイライト、およびチャプターを作成するために、内容を統合します。

Analyze 02

Summarize any content

Synthesize content to create concise and efficient descriptions, highlights, and chapters useful for content management, exploration, and understanding.

Analyze 03

企画と創出

マーケティングや広告に役立つトピックカテゴリーやハッシュタグを作成し、チームが斬新なアイデアを生み出すためのクリエイティブな提案を得ます。

Analyze 03

Ideate and create

Create topic categories and hashtags helpful for marketing and advertising, and get creative suggestions to help your team develop fresh new ideas.

Actions worth a thousand words.

Any text format, from any video.

From Q&As and hashtag generation to detailed content reports.

Fast and accurate chapterization

Generate titles, headings, and chapters in seconds.

Text prompt generation

Index once, then generate boundless text prompts.

Content summarization

Get immediate, high-quality summaries of any video.

Metadata generation

Move beyond manual tagging to instant metadata creation.

Content analysis and incident reporting

Get time-stamped verbal descriptions of events captured on footage.

Actions worth a
thousand words.

Any text format, from any video.

From Q&As and hashtag generation to detailed content reports.

Fast and accurate chapterization

Generate titles, headings, and chapters in seconds.

Text prompt generation

Index once, then generate boundless text prompts.

Content summarization

Get immediate, high-quality summaries of any video.

Metadata generation

Move beyond manual tagging to instant metadata creation.

Content analysis and incident reporting

Get time-stamped verbal descriptions of events captured on footage.

Actions worth a thousand words.

Any text format, from any video.

From Q&As and hashtag generation to detailed content reports.

Fast and accurate chapterization

Generate titles, headings, and chapters in seconds.

Text prompt generation

Index once, then generate boundless text prompts.

Content summarization

Get immediate, high-quality summaries of any video.

Metadata generation

Move beyond manual tagging to instant metadata creation.

Content analysis and incident reporting

Get time-stamped verbal descriptions of events captured on footage.

Sample Apps

node

Python

Generate social media posts for your videos

Generate social media posts for your video

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

Try this sample app

node

PYTHON

Video Highlight Generator

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

Try this sample app

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.

Try this sample app

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs(<"YOUR_API_KEY">)

# Create new Index
index = client.index.create(
      name="My First Index",
      models=[
          {
              "name": "pegasus1.2",
              "options": ["visual", "audio"],
          },
      ],
   )

# Create new Task on Index (Upload 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()

# Generate Open-ended text from your video
prompt = "Give me an analysis of how the advertisement uses facial expressions to convey its message."
res = client.analyze(task.video_id, prompt)
print(res.data)

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs(<"YOUR_API_KEY">)

# Create new Index
index = client.index.create(
      name="My First Index",
      models=[
          {
              "name": "pegasus1.2",
              "options": ["visual", "audio"],
          },
      ],
   )

# Create new Task on Index (Upload 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()

# Generate Open-ended text from your video
prompt = "Give me an analysis of how the advertisement uses facial expressions to convey its message."
res = client.analyze(task.video_id, prompt)
print(res.data)

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs(<"YOUR_API_KEY">)

# Create new Index
index = client.index.create(
      name="My First Index",
      models=[
          {
              "name": "pegasus1.2",
              "options": ["visual", "audio"],
          },
      ],
   )

# Create new Task on Index (Upload 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()

# Generate Open-ended text from your video
prompt = "Give me an analysis of how the advertisement uses facial expressions to convey its message."
res = client.analyze(task.video_id, prompt)
print(res.data)