TwelveLabs | Generate

Analyze

Turn any video
into any text.

Explore your video through language. Generate any text, from summaries, highlights and hashtags to customized reports that look deeper and enable whole new uses.

Try on Playground

Effective June 4, 2025, “Generate” has been renamed to “Analyze.” See Release Notes for more information.

Products

Enterprise

Research

Developers

Company

Playground

Talk to Sales

Effective June 4, 2025, “Generate” has been renamed to “Analyze.” See Release Notes for more information.

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 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

Summarize any content

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

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

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.

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)

Integrate with your personalized SDK — and your vision.

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.

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