How to Extract Multimodal File Information with AI on Alibaba Cloud

Introduction

With the rapid development of information technology, acquiring and processing data has become crucial. Multimodal file information extraction refers to automatically extracting useful information from files containing various data types such as text, images, audio, and video. This technology improves efficiency and accuracy across many fields.

Traditional manual processing is biased and inefficient, so leveraging advanced AI techniques to recognize and parse diverse file formats is the emerging trend.

This article provides a practical tutorial on using AI for multimodal file information extraction. Whether you need to extract key information from large document sets, classify and tag images, or process audio‑video content, the tutorial offers actionable guidance.

Practical Tutorial

The tutorial uses document information extraction as an example. Prepare the files to be processed and the prompt, then start the extraction workflow.

Resource Deployment

The extraction flow requires a web service built on compute resources to receive requests, forward documents and prompts to the Bailei model service, which invokes the Qwen‑Long text model and returns results.

Create an Alibaba Cloud Bailei application: go to the Bailei console, enable the model service, and use the free quota.

Create and deploy the default environment: deploy a Function Compute application template; configure parameters as shown in the tutorial.

Key deployment parameters include deployment type (direct deployment), application name (auto‑generated), role name, region (default East China 1, Hangzhou), and Bailei API‑KEY (obtained from the deployed resources).

Access Example Application

After deployment, locate the example website’s domain name in the environment details and open it.

Click the domain to open the example application.

Use Official Example for Information Extraction

1. With the default keyword, the model extracts corresponding information.

a. Hover over Example 1 and click “Use this example”.

b. Click “Extract Information” and wait for the result.

2. Without a keyword, the model automatically analyzes the content, which may produce varying results.

a. Hover over Example 1 and click “Use this example”.

b. Delete the keyword description.

c. Click “Extract Information” and view the result.

For production use, you can download the source code from the provided Git repository and perform further development.

Click the original article link to experience multimodal file information extraction.