AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs

AI-Powered WhatsApp Chatbot streamlines communication by automating responses to text, voice, images, and PDFs. It enhances user engagement with intelligent analysis and accurate descriptions, ensuring seamless interaction. Users can easily send and receive messages, making it ideal for businesses seeking efficient customer support and information sharing.

7/4/2025
32 nodes
Complex
manualcomplexwhatsapptriggerlangchainextractfromfilewhatsappsticky noteadvancedapiintegrationfilesstoragelogicconditionalrouting
Categories:
Manual TriggeredComplex Workflow
Integrations:
WhatsAppTriggerLangChainExtractFromFileWhatsAppSticky Note

Target Audience

This workflow is designed for:
- Businesses looking to automate customer interactions via WhatsApp.
- Developers interested in integrating AI capabilities into messaging applications.
- Customer Support Teams aiming to enhance response times and efficiency with automated responses.
- Content Creators who want to analyze and describe multimedia content shared by users.
- Data Analysts who need to extract insights from documents and media files shared through WhatsApp.

Problem Solved

This workflow addresses several challenges:
- Inefficiency in Handling Customer Queries: Automates responses to frequently asked questions and media inquiries, reducing response times.
- Manual Analysis of Media Content: Provides automated image descriptions and audio transcriptions, eliminating the need for manual review.
- File Handling Limitations: Automatically processes and extracts content from PDF documents, ensuring that users can receive insights regardless of file format.
- User Engagement: Enhances user interaction by providing immediate feedback and assistance based on the type of media shared, improving overall user satisfaction.

Workflow Steps

  • WhatsApp Trigger Activation: The workflow starts when a user sends a message or media through WhatsApp.
    2. Input Type Identification: The workflow determines the type of input (text, audio, image, or document) using a switch node.
    3. Media Downloading: Depending on the input type, the workflow downloads the corresponding media (image, audio, or document).
    4. Content Processing:
    - For images, it analyzes the content and generates a detailed description.
    - For audio, it transcribes the speech into text.
    - For documents, it extracts text content from PDFs.
    5. AI Response Generation: The extracted or processed content is sent to an AI agent that formulates a response based on user input and system prompts.
    6. Response Delivery: The generated response is sent back to the user through WhatsApp, ensuring immediate engagement.
    7. Error Handling: If unsupported media types are received, the workflow sends a predefined error message to the user.

    • Customization Guide

    To customize this workflow:
    - Change AI Parameters: Adjust the AI agent's prompts and response parameters for different tones or styles of interaction.
    - Modify Media Handling: Add or remove nodes for additional media types or change the analysis methods for images and audio.
    - Update Response Messages: Tailor the responses sent to users based on specific business needs or customer feedback.
    - Integrate Additional APIs: Incorporate other APIs for enhanced functionality, such as sentiment analysis or advanced data extraction methods.
    - Adjust Workflow Triggers: Change the trigger settings to activate the workflow based on different events or conditions, such as time-based triggers or specific user interactions.