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Overview

The Summarization tool returns concise and meaningful summaries of various web sources. Summarizations can also be used as context for a chatbot to provide an answer to questions, e.g. “What is this video about?” and “List the key ideas from this video”.

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Code Example

You will need to install the Mechanix Python SDK.
from mechanix import Mechanix

mec = Mechanix()

response = mec.tools.summarize_content(
    source_type="youtube",
    content_id="https://www.youtube.com/watch?v=5qSrmeiWsuc",
    method="auto"
)

print(response.data.summary)
# "This video explains the process of DNA replication and the enzymes invo..."
The method determines HOW the content is summarized. Learn more below.

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Parameters

The Summarization tool is flexible, supporting a variety of use cases.

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Source Type

NameSource IDSupport Status
YouTube Videosyoutube✅
Github ReposN/AIn Progress
ArXiv PapersN/AIn Progress
Blog PostsN/AIn Progress
Custom textN/AIn Progress

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Content ID

For YouTube videos, use either the full URL or the 11-character video ID:
InputAccepted?Note
https://www.youtube.com/watch?v=W4DnuQOtA8E✅Full URLs work
W4DnuQOtA8E✅Video IDs work
How to survive a... By Mark Rober❌Free-form text is not supported

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Method

IDDescriptionLatencySupport Status
simpleBest for short contentLow✅
recursiveIdeal for longer contentHigh✅
autoChooses between simple and recursiveVariable✅
multi_modalCombines text and audio for richer summariesHighestIn Progress
All methods except multi_modal focus solely on text. multi_modal offers more detailed summaries by incorporating visuals, making it highly suitable for lengthy, visually-driven content like educational videos.

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Current Limitations

  • Limited efficacy for non-English language processing
  • Cannot summarize non-textual elements of web sources like images and audio
Explore the following resources to continue learning:

API Reference

Explore the API reference for content summarization.

Interactive Demo

Try it hands-on with our chat interface.