Boost Business Efficiency with AI-Powered Image Information Extraction

Introduction

In today’s information‑overload era, enterprises face massive amounts of image data daily, and extracting key structured information is essential for improving operational efficiency and user experience.

Key Use Cases

Invoice and contract management: AI instantly recognizes invoices, contracts, and extracts amounts, dates, and numbers, reducing manual entry time to seconds with up to 99% accuracy.

E‑commerce product information: Automatic parsing of product tags, prices, and specifications from images to generate descriptions or manage inventory, speeding up product listing.

Insurance claim processing: Detects license plates, damage areas, and other details from accident photos to quickly generate claim reports, shortening claim time and boosting customer satisfaction.

Logistics document handling: Scans waybills to extract addresses and tracking numbers, creating electronic records and cutting labor costs.

Solution Core Advantages

Easy scalability: Cloud resources auto‑scale based on demand; large models improve continuously through ongoing training.

Cost‑effective batch mode: Supports offline batch tasks submitted via files, with asynchronous execution and results returned within 24 hours at half the price of real‑time calls.

Secure cloud integration: No data movement required; works with Alibaba Cloud OSS, ADB, and ODPS for efficient and safe processing.

Tutorial Details

1. Deploy the Application

Enable the Bailei model service, create an OSS bucket, and click the deployment link to open the Function Compute application template. Configure parameters as shown and create the default environment.

2. Access the Sample Application

After deployment, find the sample site’s domain in the environment details and open it.

3. Use the Official Demo for Information Extraction

With default keywords, the model extracts corresponding information. Click the example, then click “Extract Information” and wait for results.

Without keywords, the model auto‑analyzes the image, which may produce varying results. Remove the keyword description and click “Extract Information” to view the output.

Note: This is a demo version for quick experience; release resources after use. For production, download the source code for further development and enable authentication.

Read the full article and try OCR‑based structured information extraction at the provided link.

Reference links: [1] https://fcnext.console.aliyun.com/applications/create?template=image-information-extraction&deployType=template-direct&from=solution [2] https://atomgit.com/aliyun_solution/image-information-extraction.git