Analyze Videos with Vision-Language Models
CAMEL-AI toolkit for analyzing videos with a vision-language model, with optional audio transcription and OCR.
Why it matters
Leverage advanced vision-language models to extract insights from video content. Analyze visual elements and optional audio transcriptions to understand and process video data.
Outcomes
What it gets done
Extract frames from videos at specified intervals.
Transcribe audio content using OpenAI's models (optional).
Perform OCR to extract text from video frames (optional).
Analyze visual and textual data for comprehensive understanding.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/camel-videoanalysistoolkit | bash Overview
Video Analysis Toolkit
CAMEL-AI toolkit that analyzes a downloaded video by sampling frames for a vision-language model, with optional OpenAI-based audio transcription and OCR text extraction, configurable frame interval and output language. Use when an agent needs to understand video content combining visual, spoken, and on-screen text signals.
What it does
VideoAnalysisToolkit is a CAMEL-AI toolkit class for analyzing videos using a vision-language model. It downloads the target video into a working directory - defaulting to a temporary directory that is automatically cleaned up after use if none is specified - and samples frames from it at a configurable interval (frame_interval, defaulting to 4.0 seconds) for visual analysis by a pluggable model backend (BaseModelBackend). Two optional analysis modes extend the visual pipeline: use_audio_transcription enables transcribing the video's audio track using OpenAI's audio models (requiring a valid OpenAI API key) so spoken content informs the analysis alongside visuals, and use_ocr enables extracting on-screen text from video frames. Output language for responses is configurable via output_language, defaulting to English. For videos behind authentication, a cookies_path parameter accepts a Netscape-format cookies file for the video service. An optional timeout bounds how long API requests are allowed to run before failing.
When to use - and when NOT to
Use this toolkit when an agent needs to understand the content of a video - summarizing it, answering questions about what happens in it, or extracting on-screen text or spoken dialogue - combining visual frame analysis with optional audio transcription and OCR. It is not suited for real-time video streams (it operates on downloaded video files) or for videos requiring authentication without a valid cookies file, and audio transcription specifically requires a working OpenAI API key.
Inputs and outputs
Input is a video (downloaded to a working or temporary directory) plus configuration for frame sampling interval, audio transcription, OCR, output language, and optional cookies for authenticated video sources. Output is a vision-language model's analysis of the video's visual content, optionally enriched with transcribed audio and OCR-extracted on-screen text, in the configured output language.
Integrations
Built on a pluggable BaseModelBackend for visual analysis, OpenAI's audio models for optional audio transcription, and OCR for optional on-screen text extraction, with Netscape-format cookie file support for authenticated video downloads.
Who it's for
Developers building CAMEL agents that need to analyze video content - summarization, question answering, or content extraction - combining visual, audio, and on-screen text signals rather than relying on visual frames alone.
Source code
A class for analysing videos with vision-language model.
Args:
working_directory (Optional[str], optional): The directory where the
video will be downloaded to. If not provided, video will be stored
in a temporary directory and will be cleaned up after use.
(default: :obj:None)
model (Optional[BaseModelBackend], optional): The model to use for
visual analysis. (default: :obj:None)
use_audio_transcription (bool, optional): Whether to enable audio
transcription using OpenAI's audio models. Requires a valid OpenAI
API key. When disabled, video analysis will be based solely on
visual content. (default: :obj:False)
use_ocr (bool, optional): Whether to enable OCR for extracting text
from video frames. (default: :obj:False)
frame_interval (float, optional): Interval in seconds between frames
to extract from the video. (default: :obj:4.0)
output_language (str, optional): The language for output responses.
(default: :obj:"English")
cookies_path (Optional[str]): The path to the cookies file
for the video service in Netscape format. (default: :obj:None)
timeout (Optional[float]): The timeout value for API requests
in seconds. If None, no timeout is applied.
(default: :obj:None)
FAQ
Common questions
Discussion
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