AI Batch Image Recognition(DeepSeek)
AI Batch Image Recognition(DeepSeek)
v1.0.5
NagisaKon
Bika.ai uses DeepSeek for image recognition. When an image is uploaded to the table, the automation is triggered to send the data to DeepSeek for recognition, and update the information to the "Image Text Content" column.
🧠 AI
📜 Script
Included Resources
Batch Image Recognition Automation
AI Image Recognition Database
Workflow Graph
Workflow Graph
Workflow of AI Batch Image Recognition(DeepSeek)
Release Notes
Release Notes
Release notes of AI Batch Image Recognition(DeepSeek)
💡 Why Use the AI Batch Image Recognition Template
The AI Batch Image Recognition template integrates DeepSeek-vl2's image recognition capabilities to efficiently extract all text information from uploaded images. Whether for enterprise or individual users, this template can help you save significant time, reduce human error, and substantially improve data management efficiency through task automation. For extracting text information from images and optimizing workflows, this template is your ideal choice.
👉 How the Template Works
- Batch Image Recognition Automation: Automated integration with the powerful DeepSeek-vl2 model that automatically recognizes text in images and updates results to the database in real-time.
- AI Image Recognition Database: This database stores uploaded image attachments and their recognition results for easy user access and management.
🎯 Steps to Use
-
Configure the AI Image Recognition Database Automation
- Open Silicon Flow and register a personal account.
- Go to Personal Center - API Keys page, click the "Create New API Key" button in the top right. Copy the generated API key to the script executor in the AI Image Recognition Database, replacing
__YOUR_API_KEY_HERE__
in the code.
- After configuration, enable the AI Image Recognition Database automation.
-
Upload Images and Trigger Recognition
- Upload images for recognition in the AI Image Recognition Database.
- After uploading, change the option to "Trigger Automation".
- When the option changes to "Recognition Complete", the recognized text will automatically update in the "Image Text Content" field.
⭐ Use Cases
- Automatic Image Recognition: Use AI technology to quickly detect text in images, suitable for scenarios requiring text extraction from images.
- Batch Processing: Support processing multiple images at once, significantly improving efficiency, especially for tasks involving large volumes of images.
- Image Text Extraction: Extract text information from images, optimize workflows, and improve work efficiency.
👉 Suitable Users
- Market Researchers: When analyzing survey results with numerous handwritten responses, this template helps extract text quickly, facilitating data organization for subsequent analysis.
- Archivists: For digitizing and indexing large volumes of historical document scans, this template efficiently extracts text for digital archiving and retrieval.
- E-commerce Operators: Recognize text in product images to extract product names, specifications, prices, and other information, simplifying product information entry and management.
🔧 FAQ
Q1. What types of images can I process?
The template supports png
and jpeg/jpg
formats by default, but the underlying technology is compatible with most common image formats. If you need support for more formats, you can modify the script code in the automation.
Q2. How many images can be processed at once?
When you set the option to "Trigger Automation" in the AI Image Recognition Database, the system will automatically extract all attachment images from the corresponding record. Since the DeepSeek-vl2 model is primarily suited for short context processing, it's recommended not to process too many images at once to avoid recognition failures.
Q3. How accurate is the AI recognition?
AI recognition accuracy is affected by the following factors:
-
Image Quality: Images with high clarity and simple backgrounds yield better recognition results.
-
Model Parameter Configuration: You can adjust the DeepSeek-vl2 model parameters to optimize recognition results. For parameter descriptions, refer to: Silicon Flow API Manual.
-
Prompt Design: You can modify prompts in the AI Image Recognition Database script executor to further improve recognition accuracy.
Q4. How do I get my API Key? After registering an account on Silicon Flow, go to the API Keys page to generate your API Key. For more detailed instructions, refer to the official documentation: Silicon Flow Quick Start.
For more questions or further assistance setting up your AI Batch Image Recognition system, please contact support@bika.ai!