TwelveLabs | Search

Find anything. Miss nothing.
Understand everything.

Get lightning-fast, context-aware results that pinpoint the exact moment you need - beyond tags, and into a whole new dimension of multimodal understanding.

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🎉 TwelveLabs models are now in Amazon Bedrock! Leading video understanding meets with the scale of AWS infrastructure. Learn more here!

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🎉 TwelveLabs models are now in Amazon Bedrock! Leading video understanding meets with the scale of AWS infrastructure. Learn more here!

Search 01

Search by text or image

Use natural language queries or images to quickly uncover semantically-related moments, even across petabytes of data.

Search 01

Search by text or image

Use natural language queries or images to quickly uncover semantically-related moments, even across petabytes of data.

Search 02

Search across modalities

Sound, speech, text and visuals — make all the information in your video reachable, and find insights previously hidden.

Search 02

Search across modalities

Sound, speech, text and visuals — make all the information in your video reachable, and find insights previously hidden.

Search 03

Search in your domain language

Fine-tune our foundation models to the nuances of your business, and let your team search in language that comes naturally.

Search 03

Search in your domain language

Fine-tune our foundation models to the nuances of your business, and let your team search in language that   comes naturally.

Search is just the beginning.

Scene Selection

Identify the most impactful scenes to power production workflows.

Content Discovery

Search for specific moments within footage or across vast video archives.

Customer Search

Let customers easily find any video moment within your platform.

Asset Management

Comb through petabytes of data using natural  language queries.

Surveillance

Pinpoint precise moments to conduct investigations and manage evidence.

Multilingual Search

Let users search in their language, with over 100 languages supported.

Contextual Advertising

Find and match ads to relevant media moments for increased engagement.

Domain-Specific Search

Fine-tune our models so your   team can search in the language   of their sector.

Search is just the beginning.

Scene Selection

Identify the most impactful scenes to power production workflows.

Content Discovery

Search for specific moments within footage or across vast video archives.

Customer Search

Let customers easily find any video moment within your platform.

Asset Management

Comb through petabytes of data using natural  language queries.

Surveillance

Pinpoint precise moments to conduct investigations and manage evidence.

Multilingual Search

Let users search in their language, with over 100 languages supported.

Contextual Advertising

Find and match ads to relevant media moments for increased engagement.

Domain-Specific Search

Fine-tune our models so your   team can search in the language   of their sector.

Search is just the beginning.

Scene Selection

Identify the most impactful scenes to power production workflows.

Content Discovery

Search for specific moments within footage or across vast video archives.

Customer Search

Let customers easily find any video moment within your platform.

Asset Management

Comb through petabytes of data using natural  language queries.

Surveillance

Pinpoint precise moments to conduct investigations and manage evidence.

Multilingual Search

Let users search in their language, with over 100 languages supported.

Contextual Advertising

Find and match ads to relevant media moments for increased engagement.

Domain-Specific Search

Fine-tune our models so your   team can search in the language   of their sector.

Sample Apps

Python

Olympic Video Classification Application

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

Try this sample app

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.

Try this sample app

PYTHON

Video Highlight Generator

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

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",
     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)

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)

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)

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.

Get the SDK