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Intermediate · 20 min

Multimodal AI Apps: Process Any Data Type in One System

Build applications that work with images, videos, audio, and documents simultaneously. Pixeltable treats all modalities as first-class column types with automatic cross-modal operations.

Quick StartView on GitHubDocumentation

The Challenge

Multimodal AI requires integrating separate systems for each data type: image processing libraries, video frameworks, audio tools, document parsers. Each has different APIs, storage formats, and execution models. Cross-modal operations (e.g., searching images by text) require even more integration work.

The Solution

Pixeltable provides a unified table interface for all data types. Images, videos, audio, and documents are native column types. Cross-modal operations like text-to-image search work out of the box with embedding indexes.

Implementation Guide

Step-by-step walkthrough with code examples

Step 1 of 2

Unified Table

One table handles all data types, no separate systems.

python
1import pixeltable as pxt
2from pixeltable.functions import openai
3

4# Single table, multiple modalities
5content = pxt.create_table('app.content', {
6    'image': pxt.Image,
7    'video': pxt.Video,
8    'audio': pxt.Audio,
9    'document': pxt.Document,
10    'title': pxt.String,
11    'metadata': pxt.Json,
12})
13

14# AI processing across modalities
15content.add_computed_column(
16    image_description=openai.chat_completions(
17        model='gpt-4o-mini',
18        messages=[{
19            'role': 'user',
20            'content': [content.image, 'Describe this image.']
21        }]
22    ).choices[0].message.content
23)
24

25content.add_computed_column(
26    transcript=openai.transcriptions(
27        audio=content.audio, model='whisper-1'
28    )
29)
No separate systems for each data type. All modalities live in one table with shared metadata and queries.

Key Benefits

Unified interface for all data types, no integration overhead
80% less code vs managing separate systems
Cross-modal operations work natively
One query language for structured + semantic search
Automatic format handling for all media types

Real Applications

Content management and digital asset management
E-commerce product catalogs with mixed media
Research platforms processing mixed data types
Media production asset search and management

Prerequisites

Python programming experience
Basic understanding of AI models
Python 3.9+
API keys for AI models
Storage for media files

Performance

Integration Time
vs building separate pipelines per modality
5x faster

Learn More

Building Multimodal Apps

Complete guide to multimodal development

Pixelsearch: Multimodal Search Engine

Build your own multimodal search engine

Related Guides

Ready to get started?

Install Pixeltable and start building in minutes. One pip install, no infrastructure to manage.

View on GitHubQuick Start GuideStarter Kit