Organizing and note-taking shouldn’t be a manual, time-consuming task with so many AI solutions!
Think about it: isn’t it amazing to simply extract key insights from meetings, interviews, notes or presentations without having to listen through hours of audio? Or to transform disorganized notes into clear, concise, and grammatically correct summaries in seconds?
Solution: OpenAI Model Integration in Apps
Thanks to AI integrations, our app development is not only faster, but AI has become a must-have and must-wanted feature in the apps we develop.
We’ve integrated various OpenAI models into apps designed for a wide range of tasks, professions, and industries, from business operations to personal productivity, all within FlutterFlow, along with Supabase Edge Functions for more automated and faster organization and productivity.
There are plenty of tutorials available on how to integrate everything, but if you have questions or want to learn more, just reach out to us!
We’re here to show you how combining OpenAI, FlutterFlow, Supabase, and its Edge Functions enables the development of secure, high-functioning apps that simplify note-taking and organization for busy individuals.
1 Audio-to-Text transcription with the OpenAI Whisper Model
Whisper by OpenAI is a highly accurate AI/ML model (92% accurate by default) that converts audio files (MP3, MP4, MPEG, MPGA, M4A, WAV, WEBM) into clear, structured text.
It is a perfect AI integration for extracting valuable information from voice recordings like meetings, lectures, or interviews, even in noisy environments or with different accents, ensuring reliable and precise transcription without manual effort.
It also supports multiple languages, making it versatile for use in various industries and for different purposes.
(Keep in mind that Whisper only translates non-English speech into English. It does not currently support translation between two non-English languages).
→ TECH OVERVIEW
After getting the Whisper API key from the OpenAI website, we created a new API call in FlutterFlow. It’s important to note that this API call is directed to our Supabase Edge Function rather than making a direct connection to the Whisper API. Why? This approach allows us to centralize the processing logic and enhance security by keeping sensitive API keys hidden from the client-side application.
In other words, when a user uploads an audio file through the FlutterFlow build app, the Edge Function is triggered to handle the audio processing. It securely interacts with the Whisper API, sending the audio file for transcription and ensuring that sensitive information, such as API keys, is protected.
Within this setup, we configured key parameters in FlutterFlow, including audio file input, which allows users to upload or record audio directly within the app. We also added options for language selection and model versions through dropdown menus in the UI, enabling users to customize their transcription experience. These parameters ensure that the Edge Function receives the necessary data for processing.
Plus, we chose Supabase for the backend to store both the audio files and transcriptions in a database, providing a robust solution for data storage and easy access for future use.
2 AI-Assisted Fact Finding Across Various Document Types
By integrating OpenAI's Assistant API, which supports the file_search tool, the app efficiently scans a wide range of document types and large volumes of data, including text files, PDFs, spreadsheets, and audio transcriptions, identifying and highlighting key details within documents. Once the scanning process is complete, the AI extracts relevant facts and summarizes essential information from lengthy documents. This streamlined approach makes it easy for users to quickly find the information they need.
→ TECH OVERVIEW
And again, for AI-assisted fact generation, we utilized Supabase Edge Functions. After obtaining the OpenAI API key, we set up a new API call in FlutterFlow that directs to our Supabase Edge Function (EF). This EF then calls the OpenAI Assistant API endpoint. We configured key parameters, including the input for uploading PDFs or audio transcriptions, and incorporated OpenAI’s file_search tool to efficiently search through documents and extract relevant data. Required headers, including the authorization key, were also added to ensure secure access.
3 AI-Generated Note Customization and Editing
The integration of AI-generated suggestions alongside user-specific instructions for editing notes allows the AI to tailor its recommendations to the user's note-taking preferences.
→ TECH OVERVIEW
The process of integration is similar to the one described above and involves configuring the API endpoint, adding authentication credentials, and defining user-specific parameters. Since FlutterFlow manages upload actions, users can easily upload various file types (e.g., PDF, MP3) into the app. With backend support from Supabase Storage and its Edge Functions, the upload process integrates seamlessly into the workflow.
Once a file is uploaded, a Supabase Edge Function is triggered, specifically designed to handle the file. The Edge Function processes the content through the selected OpenAI API, generating key insights or specific data points. After processing is complete, the Edge Function returns the results to FlutterFlow. The app then updates to display the refined text, summaries, or insights, providing users with almost immediate access to the results of their upload.
Both the original uploaded files and the generated insights are stored in Supabase.
By selecting the most suitable OpenAI model for each feature, we ensured optimized performance, resource efficiency, task accuracy, and an enhanced user experience.
For the optimization of each model, we followed the unified process described above.
→ Rewriting Options: The feature allows users to adjust the text by either shortening it for summaries or expanding it with additional details and explanations.
→ Tone Adjustment: Users can modify the tone of their notes to suit different contexts – whether professional, persuasive, academic, or casual. This makes the content appropriate for any audience or purpose.
→ Personalized Instructions: By inputting personalized instructions, users can guide the AI to include key facts or ideas, making sure the final text aligns with their exact requirements.
→ Grammar Checker: This feature automatically scans and corrects grammar issues, such as punctuation and sentence structure, ensuring the text is clear and grammatically accurate.
→ Auto-Improve Option: This feature automatically refines the text by enhancing clarity, tone, and overall structure. It optimizes sentence flow, improves readability, and ensures a polished final version without requiring manual revisions.
Edit, Organize, Find and Take Notes in No Time with AI!
With the trio of OpenAI, FlutterFlow, and Supabase Edge Functions, we’ve simplified the note-taking process. No more messy notes or long recordings – just clear, well-organized, and well-written content ready for use.
